%0 Journal Article %J Am J Hum Genet %D 2018 %T Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. %A Ligthart, Symen %A Vaez, Ahmad %A Võsa, Urmo %A Stathopoulou, Maria G %A de Vries, Paul S %A Prins, Bram P %A van der Most, Peter J %A Tanaka, Toshiko %A Naderi, Elnaz %A Rose, Lynda M %A Wu, Ying %A Karlsson, Robert %A Barbalic, Maja %A Lin, Honghuang %A Pool, René %A Zhu, Gu %A Macé, Aurélien %A Sidore, Carlo %A Trompet, Stella %A Mangino, Massimo %A Sabater-Lleal, Maria %A Kemp, John P %A Abbasi, Ali %A Kacprowski, Tim %A Verweij, Niek %A Smith, Albert V %A Huang, Tao %A Marzi, Carola %A Feitosa, Mary F %A Lohman, Kurt K %A Kleber, Marcus E %A Milaneschi, Yuri %A Mueller, Christian %A Huq, Mahmudul %A Vlachopoulou, Efthymia %A Lyytikäinen, Leo-Pekka %A Oldmeadow, Christopher %A Deelen, Joris %A Perola, Markus %A Zhao, Jing Hua %A Feenstra, Bjarke %A Amini, Marzyeh %A Lahti, Jari %A Schraut, Katharina E %A Fornage, Myriam %A Suktitipat, Bhoom %A Chen, Wei-Min %A Li, Xiaohui %A Nutile, Teresa %A Malerba, Giovanni %A Luan, Jian'an %A Bak, Tom %A Schork, Nicholas %A del Greco M, Fabiola %A Thiering, Elisabeth %A Mahajan, Anubha %A Marioni, Riccardo E %A Mihailov, Evelin %A Eriksson, Joel %A Ozel, Ayse Bilge %A Zhang, Weihua %A Nethander, Maria %A Cheng, Yu-Ching %A Aslibekyan, Stella %A Ang, Wei %A Gandin, Ilaria %A Yengo, Loic %A Portas, Laura %A Kooperberg, Charles %A Hofer, Edith %A Rajan, Kumar B %A Schurmann, Claudia %A den Hollander, Wouter %A Ahluwalia, Tarunveer S %A Zhao, Jing %A Draisma, Harmen H M %A Ford, Ian %A Timpson, Nicholas %A Teumer, Alexander %A Huang, Hongyan %A Wahl, Simone %A Liu, Yongmei %A Huang, Jie %A Uh, Hae-Won %A Geller, Frank %A Joshi, Peter K %A Yanek, Lisa R %A Trabetti, Elisabetta %A Lehne, Benjamin %A Vozzi, Diego %A Verbanck, Marie %A Biino, Ginevra %A Saba, Yasaman %A Meulenbelt, Ingrid %A O'Connell, Jeff R %A Laakso, Markku %A Giulianini, Franco %A Magnusson, Patrik K E %A Ballantyne, Christie M %A Hottenga, Jouke Jan %A Montgomery, Grant W %A Rivadineira, Fernando %A Rueedi, Rico %A Steri, Maristella %A Herzig, Karl-Heinz %A Stott, David J %A Menni, Cristina %A Frånberg, Mattias %A St Pourcain, Beate %A Felix, Stephan B %A Pers, Tune H %A Bakker, Stephan J L %A Kraft, Peter %A Peters, Annette %A Vaidya, Dhananjay %A Delgado, Graciela %A Smit, Johannes H %A Großmann, Vera %A Sinisalo, Juha %A Seppälä, Ilkka %A Williams, Stephen R %A Holliday, Elizabeth G %A Moed, Matthijs %A Langenberg, Claudia %A Räikkönen, Katri %A Ding, Jingzhong %A Campbell, Harry %A Sale, Michele M %A Chen, Yii-Der I %A James, Alan L %A Ruggiero, Daniela %A Soranzo, Nicole %A Hartman, Catharina A %A Smith, Erin N %A Berenson, Gerald S %A Fuchsberger, Christian %A Hernandez, Dena %A Tiesler, Carla M T %A Giedraitis, Vilmantas %A Liewald, David %A Fischer, Krista %A Mellström, Dan %A Larsson, Anders %A Wang, Yunmei %A Scott, William R %A Lorentzon, Matthias %A Beilby, John %A Ryan, Kathleen A %A Pennell, Craig E %A Vuckovic, Dragana %A Balkau, Beverly %A Concas, Maria Pina %A Schmidt, Reinhold %A Mendes de Leon, Carlos F %A Bottinger, Erwin P %A Kloppenburg, Margreet %A Paternoster, Lavinia %A Boehnke, Michael %A Musk, A W %A Willemsen, Gonneke %A Evans, David M %A Madden, Pamela A F %A Kähönen, Mika %A Kutalik, Zoltán %A Zoledziewska, Magdalena %A Karhunen, Ville %A Kritchevsky, Stephen B %A Sattar, Naveed %A LaChance, Genevieve %A Clarke, Robert %A Harris, Tamara B %A Raitakari, Olli T %A Attia, John R %A van Heemst, Diana %A Kajantie, Eero %A Sorice, Rossella %A Gambaro, Giovanni %A Scott, Robert A %A Hicks, Andrew A %A Ferrucci, Luigi %A Standl, Marie %A Lindgren, Cecilia M %A Starr, John M %A Karlsson, Magnus %A Lind, Lars %A Li, Jun Z %A Chambers, John C %A Mori, Trevor A %A de Geus, Eco J C N %A Heath, Andrew C %A Martin, Nicholas G %A Auvinen, Juha %A Buckley, Brendan M %A de Craen, Anton J M %A Waldenberger, Melanie %A Strauch, Konstantin %A Meitinger, Thomas %A Scott, Rodney J %A McEvoy, Mark %A Beekman, Marian %A Bombieri, Cristina %A Ridker, Paul M %A Mohlke, Karen L %A Pedersen, Nancy L %A Morrison, Alanna C %A Boomsma, Dorret I %A Whitfield, John B %A Strachan, David P %A Hofman, Albert %A Vollenweider, Peter %A Cucca, Francesco %A Järvelin, Marjo-Riitta %A Jukema, J Wouter %A Spector, Tim D %A Hamsten, Anders %A Zeller, Tanja %A Uitterlinden, André G %A Nauck, Matthias %A Gudnason, Vilmundur %A Qi, Lu %A Grallert, Harald %A Borecki, Ingrid B %A Rotter, Jerome I %A März, Winfried %A Wild, Philipp S %A Lokki, Marja-Liisa %A Boyle, Michael %A Salomaa, Veikko %A Melbye, Mads %A Eriksson, Johan G %A Wilson, James F %A Penninx, Brenda W J H %A Becker, Diane M %A Worrall, Bradford B %A Gibson, Greg %A Krauss, Ronald M %A Ciullo, Marina %A Zaza, Gianluigi %A Wareham, Nicholas J %A Oldehinkel, Albertine J %A Palmer, Lyle J %A Murray, Sarah S %A Pramstaller, Peter P %A Bandinelli, Stefania %A Heinrich, Joachim %A Ingelsson, Erik %A Deary, Ian J %A Mägi, Reedik %A Vandenput, Liesbeth %A van der Harst, Pim %A Desch, Karl C %A Kooner, Jaspal S %A Ohlsson, Claes %A Hayward, Caroline %A Lehtimäki, Terho %A Shuldiner, Alan R %A Arnett, Donna K %A Beilin, Lawrence J %A Robino, Antonietta %A Froguel, Philippe %A Pirastu, Mario %A Jess, Tine %A Koenig, Wolfgang %A Loos, Ruth J F %A Evans, Denis A %A Schmidt, Helena %A Smith, George Davey %A Slagboom, P Eline %A Eiriksdottir, Gudny %A Morris, Andrew P %A Psaty, Bruce M %A Tracy, Russell P %A Nolte, Ilja M %A Boerwinkle, Eric %A Visvikis-Siest, Sophie %A Reiner, Alex P %A Gross, Myron %A Bis, Joshua C %A Franke, Lude %A Franco, Oscar H %A Benjamin, Emelia J %A Chasman, Daniel I %A Dupuis, Josée %A Snieder, Harold %A Dehghan, Abbas %A Alizadeh, Behrooz Z %X

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

%B Am J Hum Genet %V 103 %P 691-706 %8 2018 Nov 01 %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/30388399?dopt=Abstract %R 10.1016/j.ajhg.2018.09.009 %0 Journal Article %J J Am Soc Nephrol %D 2017 %T and Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. %A Li, Man %A Li, Yong %A Weeks, Olivia %A Mijatovic, Vladan %A Teumer, Alexander %A Huffman, Jennifer E %A Tromp, Gerard %A Fuchsberger, Christian %A Gorski, Mathias %A Lyytikäinen, Leo-Pekka %A Nutile, Teresa %A Sedaghat, Sanaz %A Sorice, Rossella %A Tin, Adrienne %A Yang, Qiong %A Ahluwalia, Tarunveer S %A Arking, Dan E %A Bihlmeyer, Nathan A %A Böger, Carsten A %A Carroll, Robert J %A Chasman, Daniel I %A Cornelis, Marilyn C %A Dehghan, Abbas %A Faul, Jessica D %A Feitosa, Mary F %A Gambaro, Giovanni %A Gasparini, Paolo %A Giulianini, Franco %A Heid, Iris %A Huang, Jinyan %A Imboden, Medea %A Jackson, Anne U %A Jeff, Janina %A Jhun, Min A %A Katz, Ronit %A Kifley, Annette %A Kilpeläinen, Tuomas O %A Kumar, Ashish %A Laakso, Markku %A Li-Gao, Ruifang %A Lohman, Kurt %A Lu, Yingchang %A Mägi, Reedik %A Malerba, Giovanni %A Mihailov, Evelin %A Mohlke, Karen L %A Mook-Kanamori, Dennis O %A Robino, Antonietta %A Ruderfer, Douglas %A Salvi, Erika %A Schick, Ursula M %A Schulz, Christina-Alexandra %A Smith, Albert V %A Smith, Jennifer A %A Traglia, Michela %A Yerges-Armstrong, Laura M %A Zhao, Wei %A Goodarzi, Mark O %A Kraja, Aldi T %A Liu, Chunyu %A Wessel, Jennifer %A Boerwinkle, Eric %A Borecki, Ingrid B %A Bork-Jensen, Jette %A Bottinger, Erwin P %A Braga, Daniele %A Brandslund, Ivan %A Brody, Jennifer A %A Campbell, Archie %A Carey, David J %A Christensen, Cramer %A Coresh, Josef %A Crook, Errol %A Curhan, Gary C %A Cusi, Daniele %A de Boer, Ian H %A de Vries, Aiko P J %A Denny, Joshua C %A Devuyst, Olivier %A Dreisbach, Albert W %A Endlich, Karlhans %A Esko, Tõnu %A Franco, Oscar H %A Fulop, Tibor %A Gerhard, Glenn S %A Glümer, Charlotte %A Gottesman, Omri %A Grarup, Niels %A Gudnason, Vilmundur %A Hansen, Torben %A Harris, Tamara B %A Hayward, Caroline %A Hocking, Lynne %A Hofman, Albert %A Hu, Frank B %A Husemoen, Lise Lotte N %A Jackson, Rebecca D %A Jørgensen, Torben %A Jørgensen, Marit E %A Kähönen, Mika %A Kardia, Sharon L R %A König, Wolfgang %A Kooperberg, Charles %A Kriebel, Jennifer %A Launer, Lenore J %A Lauritzen, Torsten %A Lehtimäki, Terho %A Levy, Daniel %A Linksted, Pamela %A Linneberg, Allan %A Liu, Yongmei %A Loos, Ruth J F %A Lupo, Antonio %A Meisinger, Christine %A Melander, Olle %A Metspalu, Andres %A Mitchell, Paul %A Nauck, Matthias %A Nürnberg, Peter %A Orho-Melander, Marju %A Parsa, Afshin %A Pedersen, Oluf %A Peters, Annette %A Peters, Ulrike %A Polasek, Ozren %A Porteous, David %A Probst-Hensch, Nicole M %A Psaty, Bruce M %A Qi, Lu %A Raitakari, Olli T %A Reiner, Alex P %A Rettig, Rainer %A Ridker, Paul M %A Rivadeneira, Fernando %A Rossouw, Jacques E %A Schmidt, Frank %A Siscovick, David %A Soranzo, Nicole %A Strauch, Konstantin %A Toniolo, Daniela %A Turner, Stephen T %A Uitterlinden, André G %A Ulivi, Sheila %A Velayutham, Dinesh %A Völker, Uwe %A Völzke, Henry %A Waldenberger, Melanie %A Wang, Jie Jin %A Weir, David R %A Witte, Daniel %A Kuivaniemi, Helena %A Fox, Caroline S %A Franceschini, Nora %A Goessling, Wolfram %A Köttgen, Anna %A Chu, Audrey Y %K Animals %K Exome %K Genetic Loci %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %K Protein Tyrosine Phosphatases %K Proto-Oncogene Proteins %K Son of Sevenless Proteins %K Zebrafish %X

Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (: 111,666; : 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (, , and ; <3.7×10), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, (=5.4×10 by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of and -knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.

%B J Am Soc Nephrol %V 28 %P 981-994 %8 2017 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/27920155?dopt=Abstract %R 10.1681/ASN.2016020131 %0 Journal Article %J Nat Commun %D 2017 %T Enrichment of low-frequency functional variants revealed by whole-genome sequencing of multiple isolated European populations. %A Xue, Yali %A Mezzavilla, Massimo %A Haber, Marc %A McCarthy, Shane %A Chen, Yuan %A Narasimhan, Vagheesh %A Gilly, Arthur %A Ayub, Qasim %A Colonna, Vincenza %A Southam, Lorraine %A Finan, Christopher %A Massaia, Andrea %A Chheda, Himanshu %A Palta, Priit %A Ritchie, Graham %A Asimit, Jennifer %A Dedoussis, George %A Gasparini, Paolo %A Palotie, Aarno %A Ripatti, Samuli %A Soranzo, Nicole %A Toniolo, Daniela %A Wilson, James F %A Durbin, Richard %A Tyler-Smith, Chris %A Zeggini, Eleftheria %K European Continental Ancestry Group %K Gene Frequency %K Genetic Variation %K Genetics, Population %K Genome, Human %K Humans %K Polymorphism, Single Nucleotide %K Whole Genome Sequencing %X

The genetic features of isolated populations can boost power in complex-trait association studies, and an in-depth understanding of how their genetic variation has been shaped by their demographic history can help leverage these advantageous characteristics. Here, we perform a comprehensive investigation using 3,059 newly generated low-depth whole-genome sequences from eight European isolates and two matched general populations, together with published data from the 1000 Genomes Project and UK10K. Sequencing data give deeper and richer insights into population demography and genetic characteristics than genotype-chip data, distinguishing related populations more effectively and allowing their functional variants to be studied more fully. We demonstrate relaxation of purifying selection in the isolates, leading to enrichment of rare and low-frequency functional variants, using novel statistics, DVxy and SVxy. We also develop an isolation-index (Isx) that predicts the overall level of such key genetic characteristics and can thus help guide population choice in future complex-trait association studies.

%B Nat Commun %V 8 %P 15927 %8 2017 06 23 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/28643794?dopt=Abstract %R 10.1038/ncomms15927 %0 Journal Article %J Am J Hum Genet %D 2017 %T Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits. %A Tachmazidou, Ioanna %A Süveges, Dániel %A Min, Josine L %A Ritchie, Graham R S %A Steinberg, Julia %A Walter, Klaudia %A Iotchkova, Valentina %A Schwartzentruber, Jeremy %A Huang, Jie %A Memari, Yasin %A McCarthy, Shane %A Crawford, Andrew A %A Bombieri, Cristina %A Cocca, Massimiliano %A Farmaki, Aliki-Eleni %A Gaunt, Tom R %A Jousilahti, Pekka %A Kooijman, Marjolein N %A Lehne, Benjamin %A Malerba, Giovanni %A Männistö, Satu %A Matchan, Angela %A Medina-Gomez, Carolina %A Metrustry, Sarah J %A Nag, Abhishek %A Ntalla, Ioanna %A Paternoster, Lavinia %A Rayner, Nigel W %A Sala, Cinzia %A Scott, William R %A Shihab, Hashem A %A Southam, Lorraine %A St Pourcain, Beate %A Traglia, Michela %A Trajanoska, Katerina %A Zaza, Gialuigi %A Zhang, Weihua %A Artigas, María S %A Bansal, Narinder %A Benn, Marianne %A Chen, Zhongsheng %A Danecek, Petr %A Lin, Wei-Yu %A Locke, Adam %A Luan, Jian'an %A Manning, Alisa K %A Mulas, Antonella %A Sidore, Carlo %A Tybjaerg-Hansen, Anne %A Varbo, Anette %A Zoledziewska, Magdalena %A Finan, Chris %A Hatzikotoulas, Konstantinos %A Hendricks, Audrey E %A Kemp, John P %A Moayyeri, Alireza %A Panoutsopoulou, Kalliope %A Szpak, Michal %A Wilson, Scott G %A Boehnke, Michael %A Cucca, Francesco %A Di Angelantonio, Emanuele %A Langenberg, Claudia %A Lindgren, Cecilia %A McCarthy, Mark I %A Morris, Andrew P %A Nordestgaard, Børge G %A Scott, Robert A %A Tobin, Martin D %A Wareham, Nicholas J %A Burton, Paul %A Chambers, John C %A Smith, George Davey %A Dedoussis, George %A Felix, Janine F %A Franco, Oscar H %A Gambaro, Giovanni %A Gasparini, Paolo %A Hammond, Christopher J %A Hofman, Albert %A Jaddoe, Vincent W V %A Kleber, Marcus %A Kooner, Jaspal S %A Perola, Markus %A Relton, Caroline %A Ring, Susan M %A Rivadeneira, Fernando %A Salomaa, Veikko %A Spector, Timothy D %A Stegle, Oliver %A Toniolo, Daniela %A Uitterlinden, André G %A Barroso, Inês %A Greenwood, Celia M T %A Perry, John R B %A Walker, Brian R %A Butterworth, Adam S %A Xue, Yali %A Durbin, Richard %A Small, Kerrin S %A Soranzo, Nicole %A Timpson, Nicholas J %A Zeggini, Eleftheria %K Anthropometry %K Body Height %K Cohort Studies %K Databases, Genetic %K DNA Methylation %K Female %K Genetic Variation %K Genome, Human %K Genome-Wide Association Study %K Humans %K Lipodystrophy %K Male %K Meta-Analysis as Topic %K Obesity %K Physical Chromosome Mapping %K Quantitative Trait Loci %K Sequence Analysis, DNA %K Sex Characteristics %K Syndrome %K United Kingdom %X

Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole-genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of 12 anthropometric traits associated with height, body mass, and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. 71% of signals reside within genes and fine mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically relevant discoveries across the frequency spectrum.

%B Am J Hum Genet %V 100 %P 865-884 %8 2017 Jun 01 %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/28552196?dopt=Abstract %R 10.1016/j.ajhg.2017.04.014 %0 Journal Article %J Nat Commun %D 2016 %T Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. %A Pattaro, Cristian %A Teumer, Alexander %A Gorski, Mathias %A Chu, Audrey Y %A Li, Man %A Mijatovic, Vladan %A Garnaas, Maija %A Tin, Adrienne %A Sorice, Rossella %A Li, Yong %A Taliun, Daniel %A Olden, Matthias %A Foster, Meredith %A Yang, Qiong %A Chen, Ming-Huei %A Pers, Tune H %A Johnson, Andrew D %A Ko, Yi-An %A Fuchsberger, Christian %A Tayo, Bamidele %A Nalls, Michael %A Feitosa, Mary F %A Isaacs, Aaron %A Dehghan, Abbas %A d'Adamo, Pio %A Adeyemo, Adebowale %A Dieffenbach, Aida Karina %A Zonderman, Alan B %A Nolte, Ilja M %A van der Most, Peter J %A Wright, Alan F %A Shuldiner, Alan R %A Morrison, Alanna C %A Hofman, Albert %A Smith, Albert V %A Dreisbach, Albert W %A Franke, Andre %A Uitterlinden, André G %A Metspalu, Andres %A Tönjes, Anke %A Lupo, Antonio %A Robino, Antonietta %A Johansson, Åsa %A Demirkan, Ayse %A Kollerits, Barbara %A Freedman, Barry I %A Ponte, Belen %A Oostra, Ben A %A Paulweber, Bernhard %A Krämer, Bernhard K %A Mitchell, Braxton D %A Buckley, Brendan M %A Peralta, Carmen A %A Hayward, Caroline %A Helmer, Catherine %A Rotimi, Charles N %A Shaffer, Christian M %A Müller, Christian %A Sala, Cinzia %A van Duijn, Cornelia M %A Saint-Pierre, Aude %A Ackermann, Daniel %A Shriner, Daniel %A Ruggiero, Daniela %A Toniolo, Daniela %A Lu, Yingchang %A Cusi, Daniele %A Czamara, Darina %A Ellinghaus, David %A Siscovick, David S %A Ruderfer, Douglas %A Gieger, Christian %A Grallert, Harald %A Rochtchina, Elena %A Atkinson, Elizabeth J %A Holliday, Elizabeth G %A Boerwinkle, Eric %A Salvi, Erika %A Bottinger, Erwin P %A Murgia, Federico %A Rivadeneira, Fernando %A Ernst, Florian %A Kronenberg, Florian %A Hu, Frank B %A Navis, Gerjan J %A Curhan, Gary C %A Ehret, George B %A Homuth, Georg %A Coassin, Stefan %A Thun, Gian-Andri %A Pistis, Giorgio %A Gambaro, Giovanni %A Malerba, Giovanni %A Montgomery, Grant W %A Eiriksdottir, Gudny %A Jacobs, Gunnar %A Li, Guo %A Wichmann, H-Erich %A Campbell, Harry %A Schmidt, Helena %A Wallaschofski, Henri %A Völzke, Henry %A Brenner, Hermann %A Kroemer, Heyo K %A Kramer, Holly %A Lin, Honghuang %A Leach, I Mateo %A Ford, Ian %A Guessous, Idris %A Rudan, Igor %A Prokopenko, Inga %A Borecki, Ingrid %A Heid, Iris M %A Kolcic, Ivana %A Persico, Ivana %A Jukema, J Wouter %A Wilson, James F %A Felix, Janine F %A Divers, Jasmin %A Lambert, Jean-Charles %A Stafford, Jeanette M %A Gaspoz, Jean-Michel %A Smith, Jennifer A %A Faul, Jessica D %A Wang, Jie Jin %A Ding, Jingzhong %A Hirschhorn, Joel N %A Attia, John %A Whitfield, John B %A Chalmers, John %A Viikari, Jorma %A Coresh, Josef %A Denny, Joshua C %A Karjalainen, Juha %A Fernandes, Jyotika K %A Endlich, Karlhans %A Butterbach, Katja %A Keene, Keith L %A Lohman, Kurt %A Portas, Laura %A Launer, Lenore J %A Lyytikäinen, Leo-Pekka %A Yengo, Loic %A Franke, Lude %A Ferrucci, Luigi %A Rose, Lynda M %A Kedenko, Lyudmyla %A Rao, Madhumathi %A Struchalin, Maksim %A Kleber, Marcus E %A Cavalieri, Margherita %A Haun, Margot %A Cornelis, Marilyn C %A Ciullo, Marina %A Pirastu, Mario %A de Andrade, Mariza %A McEvoy, Mark A %A Woodward, Mark %A Adam, Martin %A Cocca, Massimiliano %A Nauck, Matthias %A Imboden, Medea %A Waldenberger, Melanie %A Pruijm, Menno %A Metzger, Marie %A Stumvoll, Michael %A Evans, Michele K %A Sale, Michele M %A Kähönen, Mika %A Boban, Mladen %A Bochud, Murielle %A Rheinberger, Myriam %A Verweij, Niek %A Bouatia-Naji, Nabila %A Martin, Nicholas G %A Hastie, Nick %A Probst-Hensch, Nicole %A Soranzo, Nicole %A Devuyst, Olivier %A Raitakari, Olli %A Gottesman, Omri %A Franco, Oscar H %A Polasek, Ozren %A Gasparini, Paolo %A Munroe, Patricia B %A Ridker, Paul M %A Mitchell, Paul %A Muntner, Paul %A Meisinger, Christa %A Smit, Johannes H %A Kovacs, Peter %A Wild, Philipp S %A Froguel, Philippe %A Rettig, Rainer %A Mägi, Reedik %A Biffar, Reiner %A Schmidt, Reinhold %A Middelberg, Rita P S %A Carroll, Robert J %A Penninx, Brenda W %A Scott, Rodney J %A Katz, Ronit %A Sedaghat, Sanaz %A Wild, Sarah H %A Kardia, Sharon L R %A Ulivi, Sheila %A Hwang, Shih-Jen %A Enroth, Stefan %A Kloiber, Stefan %A Trompet, Stella %A Stengel, Bénédicte %A Hancock, Stephen J %A Turner, Stephen T %A Rosas, Sylvia E %A Stracke, Sylvia %A Harris, Tamara B %A Zeller, Tanja %A Zemunik, Tatijana %A Lehtimäki, Terho %A Illig, Thomas %A Aspelund, Thor %A Nikopensius, Tiit %A Esko, Tõnu %A Tanaka, Toshiko %A Gyllensten, Ulf %A Völker, Uwe %A Emilsson, Valur %A Vitart, Veronique %A Aalto, Ville %A Gudnason, Vilmundur %A Chouraki, Vincent %A Chen, Wei-Min %A Igl, Wilmar %A März, Winfried %A Koenig, Wolfgang %A Lieb, Wolfgang %A Loos, Ruth J F %A Liu, Yongmei %A Snieder, Harold %A Pramstaller, Peter P %A Parsa, Afshin %A O'Connell, Jeffrey R %A Susztak, Katalin %A Hamet, Pavel %A Tremblay, Johanne %A de Boer, Ian H %A Böger, Carsten A %A Goessling, Wolfram %A Chasman, Daniel I %A Köttgen, Anna %A Kao, W H Linda %A Fox, Caroline S %K Gene Expression Regulation %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Renal Insufficiency, Chronic %X

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

%B Nat Commun %V 7 %P 10023 %8 2016 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract %R 10.1038/ncomms10023 %0 Journal Article %J Nat Genet %D 2016 %T A reference panel of 64,976 haplotypes for genotype imputation. %A McCarthy, Shane %A Das, Sayantan %A Kretzschmar, Warren %A Delaneau, Olivier %A Wood, Andrew R %A Teumer, Alexander %A Kang, Hyun Min %A Fuchsberger, Christian %A Danecek, Petr %A Sharp, Kevin %A Luo, Yang %A Sidore, Carlo %A Kwong, Alan %A Timpson, Nicholas %A Koskinen, Seppo %A Vrieze, Scott %A Scott, Laura J %A Zhang, He %A Mahajan, Anubha %A Veldink, Jan %A Peters, Ulrike %A Pato, Carlos %A van Duijn, Cornelia M %A Gillies, Christopher E %A Gandin, Ilaria %A Mezzavilla, Massimo %A Gilly, Arthur %A Cocca, Massimiliano %A Traglia, Michela %A Angius, Andrea %A Barrett, Jeffrey C %A Boomsma, Dorrett %A Branham, Kari %A Breen, Gerome %A Brummett, Chad M %A Busonero, Fabio %A Campbell, Harry %A Chan, Andrew %A Chen, Sai %A Chew, Emily %A Collins, Francis S %A Corbin, Laura J %A Smith, George Davey %A Dedoussis, George %A Dörr, Marcus %A Farmaki, Aliki-Eleni %A Ferrucci, Luigi %A Forer, Lukas %A Fraser, Ross M %A Gabriel, Stacey %A Levy, Shawn %A Groop, Leif %A Harrison, Tabitha %A Hattersley, Andrew %A Holmen, Oddgeir L %A Hveem, Kristian %A Kretzler, Matthias %A Lee, James C %A McGue, Matt %A Meitinger, Thomas %A Melzer, David %A Min, Josine L %A Mohlke, Karen L %A Vincent, John B %A Nauck, Matthias %A Nickerson, Deborah %A Palotie, Aarno %A Pato, Michele %A Pirastu, Nicola %A McInnis, Melvin %A Richards, J Brent %A Sala, Cinzia %A Salomaa, Veikko %A Schlessinger, David %A Schoenherr, Sebastian %A Slagboom, P Eline %A Small, Kerrin %A Spector, Timothy %A Stambolian, Dwight %A Tuke, Marcus %A Tuomilehto, Jaakko %A Van den Berg, Leonard H %A van Rheenen, Wouter %A Völker, Uwe %A Wijmenga, Cisca %A Toniolo, Daniela %A Zeggini, Eleftheria %A Gasparini, Paolo %A Sampson, Matthew G %A Wilson, James F %A Frayling, Timothy %A de Bakker, Paul I W %A Swertz, Morris A %A McCarroll, Steven %A Kooperberg, Charles %A Dekker, Annelot %A Altshuler, David %A Willer, Cristen %A Iacono, William %A Ripatti, Samuli %A Soranzo, Nicole %A Walter, Klaudia %A Swaroop, Anand %A Cucca, Francesco %A Anderson, Carl A %A Myers, Richard M %A Boehnke, Michael %A McCarthy, Mark I %A Durbin, Richard %X

We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

%B Nat Genet %8 2016 Aug 22 %G ENG %1 http://www.ncbi.nlm.nih.gov/pubmed/27548312?dopt=Abstract %R 10.1038/ng.3643 %0 Journal Article %J Nature %D 2015 %T Directional dominance on stature and cognition in diverse human populations. %A Joshi, Peter K %A Esko, Tõnu %A Mattsson, Hannele %A Eklund, Niina %A Gandin, Ilaria %A Nutile, Teresa %A Jackson, Anne U %A Schurmann, Claudia %A Smith, Albert V %A Zhang, Weihua %A Okada, Yukinori %A Stančáková, Alena %A Faul, Jessica D %A Zhao, Wei %A Bartz, Traci M %A Concas, Maria Pina %A Franceschini, Nora %A Enroth, Stefan %A Vitart, Veronique %A Trompet, Stella %A Guo, Xiuqing %A Chasman, Daniel I %A O'Connel, Jeffrey R %A Corre, Tanguy %A Nongmaithem, Suraj S %A Chen, Yuning %A Mangino, Massimo %A Ruggiero, Daniela %A Traglia, Michela %A Farmaki, Aliki-Eleni %A Kacprowski, Tim %A Bjonnes, Andrew %A van der Spek, Ashley %A Wu, Ying %A Giri, Anil K %A Yanek, Lisa R %A Wang, Lihua %A Hofer, Edith %A Rietveld, Cornelius A %A McLeod, Olga %A Cornelis, Marilyn C %A Pattaro, Cristian %A Verweij, Niek %A Baumbach, Clemens %A Abdellaoui, Abdel %A Warren, Helen R %A Vuckovic, Dragana %A Mei, Hao %A Bouchard, Claude %A Perry, John R B %A Cappellani, Stefania %A Mirza, Saira S %A Benton, Miles C %A Broeckel, Ulrich %A Medland, Sarah E %A Lind, Penelope A %A Malerba, Giovanni %A Drong, Alexander %A Yengo, Loic %A Bielak, Lawrence F %A Zhi, Degui %A van der Most, Peter J %A Shriner, Daniel %A Mägi, Reedik %A Hemani, Gibran %A Karaderi, Tugce %A Wang, Zhaoming %A Liu, Tian %A Demuth, Ilja %A Zhao, Jing Hua %A Meng, Weihua %A Lataniotis, Lazaros %A van der Laan, Sander W %A Bradfield, Jonathan P %A Wood, Andrew R %A Bonnefond, Amelie %A Ahluwalia, Tarunveer S %A Hall, Leanne M %A Salvi, Erika %A Yazar, Seyhan %A Carstensen, Lisbeth %A de Haan, Hugoline G %A Abney, Mark %A Afzal, Uzma %A Allison, Matthew A %A Amin, Najaf %A Asselbergs, Folkert W %A Bakker, Stephan J L %A Barr, R Graham %A Baumeister, Sebastian E %A Benjamin, Daniel J %A Bergmann, Sven %A Boerwinkle, Eric %A Bottinger, Erwin P %A Campbell, Archie %A Chakravarti, Aravinda %A Chan, Yingleong %A Chanock, Stephen J %A Chen, Constance %A Chen, Y-D Ida %A Collins, Francis S %A Connell, John %A Correa, Adolfo %A Cupples, L Adrienne %A Smith, George Davey %A Davies, Gail %A Dörr, Marcus %A Ehret, Georg %A Ellis, Stephen B %A Feenstra, Bjarke %A Feitosa, Mary F %A Ford, Ian %A Fox, Caroline S %A Frayling, Timothy M %A Friedrich, Nele %A Geller, Frank %A Scotland, Generation %A Gillham-Nasenya, Irina %A Gottesman, Omri %A Graff, Misa %A Grodstein, Francine %A Gu, Charles %A Haley, Chris %A Hammond, Christopher J %A Harris, Sarah E %A Harris, Tamara B %A Hastie, Nicholas D %A Heard-Costa, Nancy L %A Heikkilä, Kauko %A Hocking, Lynne J %A Homuth, Georg %A Hottenga, Jouke-Jan %A Huang, Jinyan %A Huffman, Jennifer E %A Hysi, Pirro G %A Ikram, M Arfan %A Ingelsson, Erik %A Joensuu, Anni %A Johansson, Åsa %A Jousilahti, Pekka %A Jukema, J Wouter %A Kähönen, Mika %A Kamatani, Yoichiro %A Kanoni, Stavroula %A Kerr, Shona M %A Khan, Nazir M %A Koellinger, Philipp %A Koistinen, Heikki A %A Kooner, Manraj K %A Kubo, Michiaki %A Kuusisto, Johanna %A Lahti, Jari %A Launer, Lenore J %A Lea, Rodney A %A Lehne, Benjamin %A Lehtimäki, Terho %A Liewald, David C M %A Lind, Lars %A Loh, Marie %A Lokki, Marja-Liisa %A London, Stephanie J %A Loomis, Stephanie J %A Loukola, Anu %A Lu, Yingchang %A Lumley, Thomas %A Lundqvist, Annamari %A Männistö, Satu %A Marques-Vidal, Pedro %A Masciullo, Corrado %A Matchan, Angela %A Mathias, Rasika A %A Matsuda, Koichi %A Meigs, James B %A Meisinger, Christa %A Meitinger, Thomas %A Menni, Cristina %A Mentch, Frank D %A Mihailov, Evelin %A Milani, Lili %A Montasser, May E %A Montgomery, Grant W %A Morrison, Alanna %A Myers, Richard H %A Nadukuru, Rajiv %A Navarro, Pau %A Nelis, Mari %A Nieminen, Markku S %A Nolte, Ilja M %A O'Connor, George T %A Ogunniyi, Adesola %A Padmanabhan, Sandosh %A Palmas, Walter R %A Pankow, James S %A Patarcic, Inga %A Pavani, Francesca %A Peyser, Patricia A %A Pietilainen, Kirsi %A Poulter, Neil %A Prokopenko, Inga %A Ralhan, Sarju %A Redmond, Paul %A Rich, Stephen S %A Rissanen, Harri %A Robino, Antonietta %A Rose, Lynda M %A Rose, Richard %A Sala, Cinzia %A Salako, Babatunde %A Salomaa, Veikko %A Sarin, Antti-Pekka %A Saxena, Richa %A Schmidt, Helena %A Scott, Laura J %A Scott, William R %A Sennblad, Bengt %A Seshadri, Sudha %A Sever, Peter %A Shrestha, Smeeta %A Smith, Blair H %A Smith, Jennifer A %A Soranzo, Nicole %A Sotoodehnia, Nona %A Southam, Lorraine %A Stanton, Alice V %A Stathopoulou, Maria G %A Strauch, Konstantin %A Strawbridge, Rona J %A Suderman, Matthew J %A Tandon, Nikhil %A Tang, Sian-Tsun %A Taylor, Kent D %A Tayo, Bamidele O %A Töglhofer, Anna Maria %A Tomaszewski, Maciej %A Tšernikova, Natalia %A Tuomilehto, Jaakko %A Uitterlinden, André G %A Vaidya, Dhananjay %A van Hylckama Vlieg, Astrid %A van Setten, Jessica %A Vasankari, Tuula %A Vedantam, Sailaja %A Vlachopoulou, Efthymia %A Vozzi, Diego %A Vuoksimaa, Eero %A Waldenberger, Melanie %A Ware, Erin B %A Wentworth-Shields, William %A Whitfield, John B %A Wild, Sarah %A Willemsen, Gonneke %A Yajnik, Chittaranjan S %A Yao, Jie %A Zaza, Gianluigi %A Zhu, Xiaofeng %A Salem, Rany M %A Melbye, Mads %A Bisgaard, Hans %A Samani, Nilesh J %A Cusi, Daniele %A Mackey, David A %A Cooper, Richard S %A Froguel, Philippe %A Pasterkamp, Gerard %A Grant, Struan F A %A Hakonarson, Hakon %A Ferrucci, Luigi %A Scott, Robert A %A Morris, Andrew D %A Palmer, Colin N A %A Dedoussis, George %A Deloukas, Panos %A Bertram, Lars %A Lindenberger, Ulman %A Berndt, Sonja I %A Lindgren, Cecilia M %A Timpson, Nicholas J %A Tönjes, Anke %A Munroe, Patricia B %A Sørensen, Thorkild I A %A Rotimi, Charles N %A Arnett, Donna K %A Oldehinkel, Albertine J %A Kardia, Sharon L R %A Balkau, Beverley %A Gambaro, Giovanni %A Morris, Andrew P %A Eriksson, Johan G %A Wright, Margie J %A Martin, Nicholas G %A Hunt, Steven C %A Starr, John M %A Deary, Ian J %A Griffiths, Lyn R %A Tiemeier, Henning %A Pirastu, Nicola %A Kaprio, Jaakko %A Wareham, Nicholas J %A Pérusse, Louis %A Wilson, James G %A Girotto, Giorgia %A Caulfield, Mark J %A Raitakari, Olli %A Boomsma, Dorret I %A Gieger, Christian %A van der Harst, Pim %A Hicks, Andrew A %A Kraft, Peter %A Sinisalo, Juha %A Knekt, Paul %A Johannesson, Magnus %A Magnusson, Patrik K E %A Hamsten, Anders %A Schmidt, Reinhold %A Borecki, Ingrid B %A Vartiainen, Erkki %A Becker, Diane M %A Bharadwaj, Dwaipayan %A Mohlke, Karen L %A Boehnke, Michael %A van Duijn, Cornelia M %A Sanghera, Dharambir K %A Teumer, Alexander %A Zeggini, Eleftheria %A Metspalu, Andres %A Gasparini, Paolo %A Ulivi, Sheila %A Ober, Carole %A Toniolo, Daniela %A Rudan, Igor %A Porteous, David J %A Ciullo, Marina %A Spector, Tim D %A Hayward, Caroline %A Dupuis, Josée %A Loos, Ruth J F %A Wright, Alan F %A Chandak, Giriraj R %A Vollenweider, Peter %A Shuldiner, Alan R %A Ridker, Paul M %A Rotter, Jerome I %A Sattar, Naveed %A Gyllensten, Ulf %A North, Kari E %A Pirastu, Mario %A Psaty, Bruce M %A Weir, David R %A Laakso, Markku %A Gudnason, Vilmundur %A Takahashi, Atsushi %A Chambers, John C %A Kooner, Jaspal S %A Strachan, David P %A Campbell, Harry %A Hirschhorn, Joel N %A Perola, Markus %A Polasek, Ozren %A Wilson, James F %K Biological Evolution %K Blood Pressure %K Body Height %K Cholesterol, LDL %K Cognition %K Cohort Studies %K Educational Status %K Female %K Forced Expiratory Volume %K Genome, Human %K Homozygote %K Humans %K Lung Volume Measurements %K Male %K Phenotype %X

Homozygosity has long been associated with rare, often devastating, Mendelian disorders, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10(-300), 2.1 × 10(-6), 2.5 × 10(-10) and 1.8 × 10(-10), respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

%B Nature %V 523 %P 459-62 %8 2015 Jul 23 %G eng %N 7561 %1 http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract %R 10.1038/nature14618 %0 Journal Article %J Nat Genet %D 2015 %T Genome sequencing elucidates Sardinian genetic architecture and augments association analyses for lipid and blood inflammatory markers. %A Sidore, Carlo %A Busonero, Fabio %A Maschio, Andrea %A Porcu, Eleonora %A Naitza, Silvia %A Zoledziewska, Magdalena %A Mulas, Antonella %A Pistis, Giorgio %A Steri, Maristella %A Danjou, Fabrice %A Kwong, Alan %A Ortega Del Vecchyo, Vicente Diego %A Chiang, Charleston W K %A Bragg-Gresham, Jennifer %A Pitzalis, Maristella %A Nagaraja, Ramaiah %A Tarrier, Brendan %A Brennan, Christine %A Uzzau, Sergio %A Fuchsberger, Christian %A Atzeni, Rossano %A Reinier, Frederic %A Berutti, Riccardo %A Huang, Jie %A Timpson, Nicholas J %A Toniolo, Daniela %A Gasparini, Paolo %A Malerba, Giovanni %A Dedoussis, George %A Zeggini, Eleftheria %A Soranzo, Nicole %A Jones, Chris %A Lyons, Robert %A Angius, Andrea %A Kang, Hyun M %A Novembre, John %A Sanna, Serena %A Schlessinger, David %A Cucca, Francesco %A Abecasis, Goncalo R %X

We report ∼17.6 million genetic variants from whole-genome sequencing of 2,120 Sardinians; 22% are absent from previous sequencing-based compilations and are enriched for predicted functional consequences. Furthermore, ∼76,000 variants common in our sample (frequency >5%) are rare elsewhere (<0.5% in the 1000 Genomes Project). We assessed the impact of these variants on circulating lipid levels and five inflammatory biomarkers. We observe 14 signals, including 2 major new loci, for lipid levels and 19 signals, including 2 new loci, for inflammatory markers. The new associations would have been missed in analyses based on 1000 Genomes Project data, underlining the advantages of large-scale sequencing in this founder population.

%B Nat Genet %V 47 %P 1272-81 %8 2015 Nov %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/26366554?dopt=Abstract %R 10.1038/ng.3368 %0 Journal Article %J Nat Commun %D 2015 %T Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel. %A Huang, Jie %A Howie, Bryan %A McCarthy, Shane %A Memari, Yasin %A Walter, Klaudia %A Min, Josine L %A Danecek, Petr %A Malerba, Giovanni %A Trabetti, Elisabetta %A Zheng, Hou-Feng %A Gambaro, Giovanni %A Richards, J Brent %A Durbin, Richard %A Timpson, Nicholas J %A Marchini, Jonathan %A Soranzo, Nicole %X

Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants.

%B Nat Commun %V 6 %P 8111 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/26368830?dopt=Abstract %R 10.1038/ncomms9111 %0 Journal Article %J PLoS One %D 2015 %T Modulation of genetic associations with serum urate levels by body-mass-index in humans. %A Huffman, Jennifer E %A Albrecht, Eva %A Teumer, Alexander %A Mangino, Massimo %A Kapur, Karen %A Johnson, Toby %A Kutalik, Zoltán %A Pirastu, Nicola %A Pistis, Giorgio %A Lopez, Lorna M %A Haller, Toomas %A Salo, Perttu %A Goel, Anuj %A Li, Man %A Tanaka, Toshiko %A Dehghan, Abbas %A Ruggiero, Daniela %A Malerba, Giovanni %A Smith, Albert V %A Nolte, Ilja M %A Portas, Laura %A Phipps-Green, Amanda %A Boteva, Lora %A Navarro, Pau %A Johansson, Åsa %A Hicks, Andrew A %A Polasek, Ozren %A Esko, Tõnu %A Peden, John F %A Harris, Sarah E %A Murgia, Federico %A Wild, Sarah H %A Tenesa, Albert %A Tin, Adrienne %A Mihailov, Evelin %A Grotevendt, Anne %A Gislason, Gauti K %A Coresh, Josef %A d'Adamo, Pio %A Ulivi, Sheila %A Vollenweider, Peter %A Waeber, Gerard %A Campbell, Susan %A Kolcic, Ivana %A Fisher, Krista %A Viigimaa, Margus %A Metter, Jeffrey E %A Masciullo, Corrado %A Trabetti, Elisabetta %A Bombieri, Cristina %A Sorice, Rossella %A Döring, Angela %A Reischl, Eva %A Strauch, Konstantin %A Hofman, Albert %A Uitterlinden, André G %A Waldenberger, Melanie %A Wichmann, H-Erich %A Davies, Gail %A Gow, Alan J %A Dalbeth, Nicola %A Stamp, Lisa %A Smit, Johannes H %A Kirin, Mirna %A Nagaraja, Ramaiah %A Nauck, Matthias %A Schurmann, Claudia %A Budde, Kathrin %A Farrington, Susan M %A Theodoratou, Evropi %A Jula, Antti %A Salomaa, Veikko %A Sala, Cinzia %A Hengstenberg, Christian %A Burnier, Michel %A Mägi, Reedik %A Klopp, Norman %A Kloiber, Stefan %A Schipf, Sabine %A Ripatti, Samuli %A Cabras, Stefano %A Soranzo, Nicole %A Homuth, Georg %A Nutile, Teresa %A Munroe, Patricia B %A Hastie, Nicholas %A Campbell, Harry %A Rudan, Igor %A Cabrera, Claudia %A Haley, Chris %A Franco, Oscar H %A Merriman, Tony R %A Gudnason, Vilmundur %A Pirastu, Mario %A Penninx, Brenda W %A Snieder, Harold %A Metspalu, Andres %A Ciullo, Marina %A Pramstaller, Peter P %A van Duijn, Cornelia M %A Ferrucci, Luigi %A Gambaro, Giovanni %A Deary, Ian J %A Dunlop, Malcolm G %A Wilson, James F %A Gasparini, Paolo %A Gyllensten, Ulf %A Spector, Tim D %A Wright, Alan F %A Hayward, Caroline %A Watkins, Hugh %A Perola, Markus %A Bochud, Murielle %A Kao, W H Linda %A Caulfield, Mark %A Toniolo, Daniela %A Völzke, Henry %A Gieger, Christian %A Köttgen, Anna %A Vitart, Veronique %X

We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

%B PLoS One %V 10 %P e0119752 %8 2015 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/25811787?dopt=Abstract %R 10.1371/journal.pone.0119752 %0 Journal Article %J Nat Commun %D 2015 %T Multicohort analysis of the maternal age effect on recombination. %A Martin, Hilary C %A Christ, Ryan %A Hussin, Julie G %A O'Connell, Jared %A Gordon, Scott %A Mbarek, Hamdi %A Hottenga, Jouke-Jan %A McAloney, Kerrie %A Willemsen, Gonnecke %A Gasparini, Paolo %A Pirastu, Nicola %A Montgomery, Grant W %A Navarro, Pau %A Soranzo, Nicole %A Toniolo, Daniela %A Vitart, Veronique %A Wilson, James F %A Marchini, Jonathan %A Boomsma, Dorret I %A Martin, Nicholas G %A Donnelly, Peter %X

Several studies have reported that the number of crossovers increases with maternal age in humans, but others have found the opposite. Resolving the true effect has implications for understanding the maternal age effect on aneuploidies. Here, we revisit this question in the largest sample to date using single nucleotide polymorphism (SNP)-chip data, comprising over 6,000 meioses from nine cohorts. We develop and fit a hierarchical model to allow for differences between cohorts and between mothers. We estimate that over 10 years, the expected number of maternal crossovers increases by 2.1% (95% credible interval (0.98%, 3.3%)). Our results are not consistent with the larger positive and negative effects previously reported in smaller cohorts. We see heterogeneity between cohorts that is likely due to chance effects in smaller samples, or possibly to confounders, emphasizing that care should be taken when interpreting results from any specific cohort about the effect of maternal age on recombination.

%B Nat Commun %V 6 %P 7846 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/26242864?dopt=Abstract %R 10.1038/ncomms8846 %0 Journal Article %J PLoS Genet %D 2014 %T A general approach for haplotype phasing across the full spectrum of relatedness. %A O'Connell, Jared %A Gurdasani, Deepti %A Delaneau, Olivier %A Pirastu, Nicola %A Ulivi, Sheila %A Cocca, Massimiliano %A Traglia, Michela %A Huang, Jie %A Huffman, Jennifer E %A Rudan, Igor %A McQuillan, Ruth %A Fraser, Ross M %A Campbell, Harry %A Polasek, Ozren %A Asiki, Gershim %A Ekoru, Kenneth %A Hayward, Caroline %A Wright, Alan F %A Vitart, Veronique %A Navarro, Pau %A Zagury, Jean-Francois %A Wilson, James F %A Toniolo, Daniela %A Gasparini, Paolo %A Soranzo, Nicole %A Sandhu, Manjinder S %A Marchini, Jonathan %K Chromosome Mapping %K Cohort Effect %K Family %K Genotype %K Haplotypes %K Humans %K Models, Genetic %K Pedigree %K Phenotype %K Recombination, Genetic %X

Many existing cohorts contain a range of relatedness between genotyped individuals, either by design or by chance. Haplotype estimation in such cohorts is a central step in many downstream analyses. Using genotypes from six cohorts from isolated populations and two cohorts from non-isolated populations, we have investigated the performance of different phasing methods designed for nominally 'unrelated' individuals. We find that SHAPEIT2 produces much lower switch error rates in all cohorts compared to other methods, including those designed specifically for isolated populations. In particular, when large amounts of IBD sharing is present, SHAPEIT2 infers close to perfect haplotypes. Based on these results we have developed a general strategy for phasing cohorts with any level of implicit or explicit relatedness between individuals. First SHAPEIT2 is run ignoring all explicit family information. We then apply a novel HMM method (duoHMM) to combine the SHAPEIT2 haplotypes with any family information to infer the inheritance pattern of each meiosis at all sites across each chromosome. This allows the correction of switch errors, detection of recombination events and genotyping errors. We show that the method detects numbers of recombination events that align very well with expectations based on genetic maps, and that it infers far fewer spurious recombination events than Merlin. The method can also detect genotyping errors and infer recombination events in otherwise uninformative families, such as trios and duos. The detected recombination events can be used in association scans for recombination phenotypes. The method provides a simple and unified approach to haplotype estimation, that will be of interest to researchers in the fields of human, animal and plant genetics.

%B PLoS Genet %V 10 %P e1004234 %8 2014 Apr %G eng %N 4 %1 http://www.ncbi.nlm.nih.gov/pubmed/24743097?dopt=Abstract %R 10.1371/journal.pgen.1004234 %0 Journal Article %J Nat Genet %D 2013 %T Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. %A Köttgen, Anna %A Albrecht, Eva %A Teumer, Alexander %A Vitart, Veronique %A Krumsiek, Jan %A Hundertmark, Claudia %A Pistis, Giorgio %A Ruggiero, Daniela %A O'Seaghdha, Conall M %A Haller, Toomas %A Yang, Qiong %A Tanaka, Toshiko %A Johnson, Andrew D %A Kutalik, Zoltán %A Smith, Albert V %A Shi, Julia %A Struchalin, Maksim %A Middelberg, Rita P S %A Brown, Morris J %A Gaffo, Angelo L %A Pirastu, Nicola %A Li, Guo %A Hayward, Caroline %A Zemunik, Tatijana %A Huffman, Jennifer %A Yengo, Loic %A Zhao, Jing Hua %A Demirkan, Ayse %A Feitosa, Mary F %A Liu, Xuan %A Malerba, Giovanni %A Lopez, Lorna M %A van der Harst, Pim %A Li, Xinzhong %A Kleber, Marcus E %A Hicks, Andrew A %A Nolte, Ilja M %A Johansson, Åsa %A Murgia, Federico %A Wild, Sarah H %A Bakker, Stephan J L %A Peden, John F %A Dehghan, Abbas %A Steri, Maristella %A Tenesa, Albert %A Lagou, Vasiliki %A Salo, Perttu %A Mangino, Massimo %A Rose, Lynda M %A Lehtimäki, Terho %A Woodward, Owen M %A Okada, Yukinori %A Tin, Adrienne %A Müller, Christian %A Oldmeadow, Christopher %A Putku, Margus %A Czamara, Darina %A Kraft, Peter %A Frogheri, Laura %A Thun, Gian Andri %A Grotevendt, Anne %A Gislason, Gauti Kjartan %A Harris, Tamara B %A Launer, Lenore J %A McArdle, Patrick %A Shuldiner, Alan R %A Boerwinkle, Eric %A Coresh, Josef %A Schmidt, Helena %A Schallert, Michael %A Martin, Nicholas G %A Montgomery, Grant W %A Kubo, Michiaki %A Nakamura, Yusuke %A Tanaka, Toshihiro %A Munroe, Patricia B %A Samani, Nilesh J %A Jacobs, David R %A Liu, Kiang %A d'Adamo, Pio %A Ulivi, Sheila %A Rotter, Jerome I %A Psaty, Bruce M %A Vollenweider, Peter %A Waeber, Gerard %A Campbell, Susan %A Devuyst, Olivier %A Navarro, Pau %A Kolcic, Ivana %A Hastie, Nicholas %A Balkau, Beverley %A Froguel, Philippe %A Esko, Tõnu %A Salumets, Andres %A Khaw, Kay Tee %A Langenberg, Claudia %A Wareham, Nicholas J %A Isaacs, Aaron %A Kraja, Aldi %A Zhang, Qunyuan %A Wild, Philipp S %A Scott, Rodney J %A Holliday, Elizabeth G %A Org, Elin %A Viigimaa, Margus %A Bandinelli, Stefania %A Metter, Jeffrey E %A Lupo, Antonio %A Trabetti, Elisabetta %A Sorice, Rossella %A Döring, Angela %A Lattka, Eva %A Strauch, Konstantin %A Theis, Fabian %A Waldenberger, Melanie %A Wichmann, H-Erich %A Davies, Gail %A Gow, Alan J %A Bruinenberg, Marcel %A Stolk, Ronald P %A Kooner, Jaspal S %A Zhang, Weihua %A Winkelmann, Bernhard R %A Boehm, Bernhard O %A Lucae, Susanne %A Penninx, Brenda W %A Smit, Johannes H %A Curhan, Gary %A Mudgal, Poorva %A Plenge, Robert M %A Portas, Laura %A Persico, Ivana %A Kirin, Mirna %A Wilson, James F %A Mateo Leach, Irene %A van Gilst, Wiek H %A Goel, Anuj %A Ongen, Halit %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Imboden, Medea %A von Eckardstein, Arnold %A Cucca, Francesco %A Nagaraja, Ramaiah %A Piras, Maria Grazia %A Nauck, Matthias %A Schurmann, Claudia %A Budde, Kathrin %A Ernst, Florian %A Farrington, Susan M %A Theodoratou, Evropi %A Prokopenko, Inga %A Stumvoll, Michael %A Jula, Antti %A Perola, Markus %A Salomaa, Veikko %A Shin, So-Youn %A Spector, Tim D %A Sala, Cinzia %A Ridker, Paul M %A Kähönen, Mika %A Viikari, Jorma %A Hengstenberg, Christian %A Nelson, Christopher P %A Meschia, James F %A Nalls, Michael A %A Sharma, Pankaj %A Singleton, Andrew B %A Kamatani, Naoyuki %A Zeller, Tanja %A Burnier, Michel %A Attia, John %A Laan, Maris %A Klopp, Norman %A Hillege, Hans L %A Kloiber, Stefan %A Choi, Hyon %A Pirastu, Mario %A Tore, Silvia %A Probst-Hensch, Nicole M %A Völzke, Henry %A Gudnason, Vilmundur %A Parsa, Afshin %A Schmidt, Reinhold %A Whitfield, John B %A Fornage, Myriam %A Gasparini, Paolo %A Siscovick, David S %A Polasek, Ozren %A Campbell, Harry %A Rudan, Igor %A Bouatia-Naji, Nabila %A Metspalu, Andres %A Loos, Ruth J F %A van Duijn, Cornelia M %A Borecki, Ingrid B %A Ferrucci, Luigi %A Gambaro, Giovanni %A Deary, Ian J %A Wolffenbuttel, Bruce H R %A Chambers, John C %A März, Winfried %A Pramstaller, Peter P %A Snieder, Harold %A Gyllensten, Ulf %A Wright, Alan F %A Navis, Gerjan %A Watkins, Hugh %A Witteman, Jacqueline C M %A Sanna, Serena %A Schipf, Sabine %A Dunlop, Malcolm G %A Tönjes, Anke %A Ripatti, Samuli %A Soranzo, Nicole %A Toniolo, Daniela %A Chasman, Daniel I %A Raitakari, Olli %A Kao, W H Linda %A Ciullo, Marina %A Fox, Caroline S %A Caulfield, Mark %A Bochud, Murielle %A Gieger, Christian %K Analysis of Variance %K European Continental Ancestry Group %K Gene Frequency %K Genetic Loci %K Genome-Wide Association Study %K Glucose %K Gout %K Humans %K Inhibins %K Polymorphism, Single Nucleotide %K Signal Transduction %K Uric Acid %X

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

%B Nat Genet %V 45 %P 145-54 %8 2013 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/23263486?dopt=Abstract %R 10.1038/ng.2500 %0 Journal Article %J Nat Genet %D 2012 %T Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways. %A Stolk, Lisette %A Perry, John R B %A Chasman, Daniel I %A He, Chunyan %A Mangino, Massimo %A Sulem, Patrick %A Barbalic, Maja %A Broer, Linda %A Byrne, Enda M %A Ernst, Florian %A Esko, Tõnu %A Franceschini, Nora %A Gudbjartsson, Daniel F %A Hottenga, Jouke-Jan %A Kraft, Peter %A McArdle, Patrick F %A Porcu, Eleonora %A Shin, So-Youn %A Smith, Albert V %A van Wingerden, Sophie %A Zhai, Guangju %A Zhuang, Wei V %A Albrecht, Eva %A Alizadeh, Behrooz Z %A Aspelund, Thor %A Bandinelli, Stefania %A Lauc, Lovorka Barac %A Beckmann, Jacques S %A Boban, Mladen %A Boerwinkle, Eric %A Broekmans, Frank J %A Burri, Andrea %A Campbell, Harry %A Chanock, Stephen J %A Chen, Constance %A Cornelis, Marilyn C %A Corre, Tanguy %A Coviello, Andrea D %A d'Adamo, Pio %A Davies, Gail %A de Faire, Ulf %A de Geus, Eco J C %A Deary, Ian J %A Dedoussis, George V Z %A Deloukas, Panagiotis %A Ebrahim, Shah %A Eiriksdottir, Gudny %A Emilsson, Valur %A Eriksson, Johan G %A Fauser, Bart C J M %A Ferreli, Liana %A Ferrucci, Luigi %A Fischer, Krista %A Folsom, Aaron R %A Garcia, Melissa E %A Gasparini, Paolo %A Gieger, Christian %A Glazer, Nicole %A Grobbee, Diederick E %A Hall, Per %A Haller, Toomas %A Hankinson, Susan E %A Hass, Merli %A Hayward, Caroline %A Heath, Andrew C %A Hofman, Albert %A Ingelsson, Erik %A Janssens, A Cecile J W %A Johnson, Andrew D %A Karasik, David %A Kardia, Sharon L R %A Keyzer, Jules %A Kiel, Douglas P %A Kolcic, Ivana %A Kutalik, Zoltán %A Lahti, Jari %A Lai, Sandra %A Laisk, Triin %A Laven, Joop S E %A Lawlor, Debbie A %A Liu, Jianjun %A Lopez, Lorna M %A Louwers, Yvonne V %A Magnusson, Patrik K E %A Marongiu, Mara %A Martin, Nicholas G %A Klaric, Irena Martinovic %A Masciullo, Corrado %A McKnight, Barbara %A Medland, Sarah E %A Melzer, David %A Mooser, Vincent %A Navarro, Pau %A Newman, Anne B %A Nyholt, Dale R %A Onland-Moret, N Charlotte %A Palotie, Aarno %A Paré, Guillaume %A Parker, Alex N %A Pedersen, Nancy L %A Peeters, Petra H M %A Pistis, Giorgio %A Plump, Andrew S %A Polasek, Ozren %A Pop, Victor J M %A Psaty, Bruce M %A Räikkönen, Katri %A Rehnberg, Emil %A Rotter, Jerome I %A Rudan, Igor %A Sala, Cinzia %A Salumets, Andres %A Scuteri, Angelo %A Singleton, Andrew %A Smith, Jennifer A %A Snieder, Harold %A Soranzo, Nicole %A Stacey, Simon N %A Starr, John M %A Stathopoulou, Maria G %A Stirrups, Kathleen %A Stolk, Ronald P %A Styrkarsdottir, Unnur %A Sun, Yan V %A Tenesa, Albert %A Thorand, Barbara %A Toniolo, Daniela %A Tryggvadottir, Laufey %A Tsui, Kim %A Ulivi, Sheila %A van Dam, Rob M %A van der Schouw, Yvonne T %A van Gils, Carla H %A van Nierop, Peter %A Vink, Jacqueline M %A Visscher, Peter M %A Voorhuis, Marlies %A Waeber, Gerard %A Wallaschofski, Henri %A Wichmann, H Erich %A Widen, Elisabeth %A Wijnands-van Gent, Colette J M %A Willemsen, Gonneke %A Wilson, James F %A Wolffenbuttel, Bruce H R %A Wright, Alan F %A Yerges-Armstrong, Laura M %A Zemunik, Tatijana %A Zgaga, Lina %A Zillikens, M Carola %A Zygmunt, Marek %A Arnold, Alice M %A Boomsma, Dorret I %A Buring, Julie E %A Crisponi, Laura %A Demerath, Ellen W %A Gudnason, Vilmundur %A Harris, Tamara B %A Hu, Frank B %A Hunter, David J %A Launer, Lenore J %A Metspalu, Andres %A Montgomery, Grant W %A Oostra, Ben A %A Ridker, Paul M %A Sanna, Serena %A Schlessinger, David %A Spector, Tim D %A Stefansson, Kari %A Streeten, Elizabeth A %A Thorsteinsdottir, Unnur %A Uda, Manuela %A Uitterlinden, André G %A van Duijn, Cornelia M %A Völzke, Henry %A Murray, Anna %A Murabito, Joanne M %A Visser, Jenny A %A Lunetta, Kathryn L %K Age Factors %K DNA Helicases %K DNA Primase %K DNA Repair %K DNA Repair Enzymes %K DNA-Directed DNA Polymerase %K European Continental Ancestry Group %K Exodeoxyribonucleases %K Female %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Immunity %K Menopause %K Polymorphism, Single Nucleotide %K Proteins %X

To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 × 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

%B Nat Genet %V 44 %P 260-8 %8 2012 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/22267201?dopt=Abstract %R 10.1038/ng.1051 %0 Journal Article %J Nat Genet %D 2011 %T Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. %A Wain, Louise V %A Verwoert, Germaine C %A O'Reilly, Paul F %A Shi, Gang %A Johnson, Toby %A Johnson, Andrew D %A Bochud, Murielle %A Rice, Kenneth M %A Henneman, Peter %A Smith, Albert V %A Ehret, Georg B %A Amin, Najaf %A Larson, Martin G %A Mooser, Vincent %A Hadley, David %A Dörr, Marcus %A Bis, Joshua C %A Aspelund, Thor %A Esko, Tõnu %A Janssens, A Cecile J W %A Zhao, Jing Hua %A Heath, Simon %A Laan, Maris %A Fu, Jingyuan %A Pistis, Giorgio %A Luan, Jian'an %A Arora, Pankaj %A Lucas, Gavin %A Pirastu, Nicola %A Pichler, Irene %A Jackson, Anne U %A Webster, Rebecca J %A Zhang, Feng %A Peden, John F %A Schmidt, Helena %A Tanaka, Toshiko %A Campbell, Harry %A Igl, Wilmar %A Milaneschi, Yuri %A Hottenga, Jouke-Jan %A Vitart, Veronique %A Chasman, Daniel I %A Trompet, Stella %A Bragg-Gresham, Jennifer L %A Alizadeh, Behrooz Z %A Chambers, John C %A Guo, Xiuqing %A Lehtimäki, Terho %A Kuhnel, Brigitte %A Lopez, Lorna M %A Polasek, Ozren %A Boban, Mladen %A Nelson, Christopher P %A Morrison, Alanna C %A Pihur, Vasyl %A Ganesh, Santhi K %A Hofman, Albert %A Kundu, Suman %A Mattace-Raso, Francesco U S %A Rivadeneira, Fernando %A Sijbrands, Eric J G %A Uitterlinden, André G %A Hwang, Shih-Jen %A Vasan, Ramachandran S %A Wang, Thomas J %A Bergmann, Sven %A Vollenweider, Peter %A Waeber, Gerard %A Laitinen, Jaana %A Pouta, Anneli %A Zitting, Paavo %A McArdle, Wendy L %A Kroemer, Heyo K %A Völker, Uwe %A Völzke, Henry %A Glazer, Nicole L %A Taylor, Kent D %A Harris, Tamara B %A Alavere, Helene %A Haller, Toomas %A Keis, Aime %A Tammesoo, Mari-Liis %A Aulchenko, Yurii %A Barroso, Inês %A Khaw, Kay-Tee %A Galan, Pilar %A Hercberg, Serge %A Lathrop, Mark %A Eyheramendy, Susana %A Org, Elin %A Sõber, Siim %A Lu, Xiaowen %A Nolte, Ilja M %A Penninx, Brenda W %A Corre, Tanguy %A Masciullo, Corrado %A Sala, Cinzia %A Groop, Leif %A Voight, Benjamin F %A Melander, Olle %A O'Donnell, Christopher J %A Salomaa, Veikko %A d'Adamo, Adamo Pio %A Fabretto, Antonella %A Faletra, Flavio %A Ulivi, Sheila %A Del Greco, Fabiola M %A Facheris, Maurizio %A Collins, Francis S %A Bergman, Richard N %A Beilby, John P %A Hung, Joseph %A Musk, A William %A Mangino, Massimo %A Shin, So-Youn %A Soranzo, Nicole %A Watkins, Hugh %A Goel, Anuj %A Hamsten, Anders %A Gider, Pierre %A Loitfelder, Marisa %A Zeginigg, Marion %A Hernandez, Dena %A Najjar, Samer S %A Navarro, Pau %A Wild, Sarah H %A Corsi, Anna Maria %A Singleton, Andrew %A de Geus, Eco J C %A Willemsen, Gonneke %A Parker, Alex N %A Rose, Lynda M %A Buckley, Brendan %A Stott, David %A Orru, Marco %A Uda, Manuela %A van der Klauw, Melanie M %A Zhang, Weihua %A Li, Xinzhong %A Scott, James %A Chen, Yii-Der Ida %A Burke, Gregory L %A Kähönen, Mika %A Viikari, Jorma %A Döring, Angela %A Meitinger, Thomas %A Davies, Gail %A Starr, John M %A Emilsson, Valur %A Plump, Andrew %A Lindeman, Jan H %A Hoen, Peter A C 't %A König, Inke R %A Felix, Janine F %A Clarke, Robert %A Hopewell, Jemma C %A Ongen, Halit %A Breteler, Monique %A Debette, Stéphanie %A Destefano, Anita L %A Fornage, Myriam %A Mitchell, Gary F %A Smith, Nicholas L %A Holm, Hilma %A Stefansson, Kari %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Samani, Nilesh J %A Preuss, Michael %A Rudan, Igor %A Hayward, Caroline %A Deary, Ian J %A Wichmann, H-Erich %A Raitakari, Olli T %A Palmas, Walter %A Kooner, Jaspal S %A Stolk, Ronald P %A Jukema, J Wouter %A Wright, Alan F %A Boomsma, Dorret I %A Bandinelli, Stefania %A Gyllensten, Ulf B %A Wilson, James F %A Ferrucci, Luigi %A Schmidt, Reinhold %A Farrall, Martin %A Spector, Tim D %A Palmer, Lyle J %A Tuomilehto, Jaakko %A Pfeufer, Arne %A Gasparini, Paolo %A Siscovick, David %A Altshuler, David %A Loos, Ruth J F %A Toniolo, Daniela %A Snieder, Harold %A Gieger, Christian %A Meneton, Pierre %A Wareham, Nicholas J %A Oostra, Ben A %A Metspalu, Andres %A Launer, Lenore %A Rettig, Rainer %A Strachan, David P %A Beckmann, Jacques S %A Witteman, Jacqueline C M %A Erdmann, Jeanette %A van Dijk, Ko Willems %A Boerwinkle, Eric %A Boehnke, Michael %A Ridker, Paul M %A Järvelin, Marjo-Riitta %A Chakravarti, Aravinda %A Abecasis, Goncalo R %A Gudnason, Vilmundur %A Newton-Cheh, Christopher %A Levy, Daniel %A Munroe, Patricia B %A Psaty, Bruce M %A Caulfield, Mark J %A Rao, Dabeeru C %A Tobin, Martin D %A Elliott, Paul %A van Duijn, Cornelia M %K Arteries %K Blood Pressure %K Case-Control Studies %K Follow-Up Studies %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Hypertension %K Linkage Disequilibrium %K Polymorphism, Single Nucleotide %X

Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 × 10(-8) to P = 2.3 × 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

%B Nat Genet %V 43 %P 1005-11 %8 2011 Oct %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/21909110?dopt=Abstract %R 10.1038/ng.922 %0 Journal Article %J PLoS Genet %D 2011 %T Multiple loci are associated with white blood cell phenotypes. %A Nalls, Michael A %A Couper, David J %A Tanaka, Toshiko %A van Rooij, Frank J A %A Chen, Ming-Huei %A Smith, Albert V %A Toniolo, Daniela %A Zakai, Neil A %A Yang, Qiong %A Greinacher, Andreas %A Wood, Andrew R %A Garcia, Melissa %A Gasparini, Paolo %A Liu, Yongmei %A Lumley, Thomas %A Folsom, Aaron R %A Reiner, Alex P %A Gieger, Christian %A Lagou, Vasiliki %A Felix, Janine F %A Völzke, Henry %A Gouskova, Natalia A %A Biffi, Alessandro %A Döring, Angela %A Völker, Uwe %A Chong, Sean %A Wiggins, Kerri L %A Rendon, Augusto %A Dehghan, Abbas %A Moore, Matt %A Taylor, Kent %A Wilson, James G %A Lettre, Guillaume %A Hofman, Albert %A Bis, Joshua C %A Pirastu, Nicola %A Fox, Caroline S %A Meisinger, Christa %A Sambrook, Jennifer %A Arepalli, Sampath %A Nauck, Matthias %A Prokisch, Holger %A Stephens, Jonathan %A Glazer, Nicole L %A Cupples, L Adrienne %A Okada, Yukinori %A Takahashi, Atsushi %A Kamatani, Yoichiro %A Matsuda, Koichi %A Tsunoda, Tatsuhiko %A Tanaka, Toshihiro %A Kubo, Michiaki %A Nakamura, Yusuke %A Yamamoto, Kazuhiko %A Kamatani, Naoyuki %A Stumvoll, Michael %A Tönjes, Anke %A Prokopenko, Inga %A Illig, Thomas %A Patel, Kushang V %A Garner, Stephen F %A Kuhnel, Brigitte %A Mangino, Massimo %A Oostra, Ben A %A Thein, Swee Lay %A Coresh, Josef %A Wichmann, H-Erich %A Menzel, Stephan %A Lin, JingPing %A Pistis, Giorgio %A Uitterlinden, André G %A Spector, Tim D %A Teumer, Alexander %A Eiriksdottir, Gudny %A Gudnason, Vilmundur %A Bandinelli, Stefania %A Frayling, Timothy M %A Chakravarti, Aravinda %A van Duijn, Cornelia M %A Melzer, David %A Ouwehand, Willem H %A Levy, Daniel %A Boerwinkle, Eric %A Singleton, Andrew B %A Hernandez, Dena G %A Longo, Dan L %A Soranzo, Nicole %A Witteman, Jacqueline C M %A Psaty, Bruce M %A Ferrucci, Luigi %A Harris, Tamara B %A O'Donnell, Christopher J %A Ganesh, Santhi K %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Leukocyte Count %K Leukocytes %K Molecular Epidemiology %K Multigene Family %K Phenotype %K Polymorphism, Single Nucleotide %K Ubiquitin-Protein Ligases %X

White blood cell (WBC) count is a common clinical measure from complete blood count assays, and it varies widely among healthy individuals. Total WBC count and its constituent subtypes have been shown to be moderately heritable, with the heritability estimates varying across cell types. We studied 19,509 subjects from seven cohorts in a discovery analysis, and 11,823 subjects from ten cohorts for replication analyses, to determine genetic factors influencing variability within the normal hematological range for total WBC count and five WBC subtype measures. Cohort specific data was supplied by the CHARGE, HeamGen, and INGI consortia, as well as independent collaborative studies. We identified and replicated ten associations with total WBC count and five WBC subtypes at seven different genomic loci (total WBC count-6p21 in the HLA region, 17q21 near ORMDL3, and CSF3; neutrophil count-17q21; basophil count- 3p21 near RPN1 and C3orf27; lymphocyte count-6p21, 19p13 at EPS15L1; monocyte count-2q31 at ITGA4, 3q21, 8q24 an intergenic region, 9q31 near EDG2), including three previously reported associations and seven novel associations. To investigate functional relationships among variants contributing to variability in the six WBC traits, we utilized gene expression- and pathways-based analyses. We implemented gene-clustering algorithms to evaluate functional connectivity among implicated loci and showed functional relationships across cell types. Gene expression data from whole blood was utilized to show that significant biological consequences can be extracted from our genome-wide analyses, with effect estimates for significant loci from the meta-analyses being highly corellated with the proximal gene expression. In addition, collaborative efforts between the groups contributing to this study and related studies conducted by the COGENT and RIKEN groups allowed for the examination of effect homogeneity for genome-wide significant associations across populations of diverse ancestral backgrounds.

%B PLoS Genet %V 7 %P e1002113 %8 2011 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/21738480?dopt=Abstract %R 10.1371/journal.pgen.1002113 %0 Journal Article %J Nat Genet %D 2010 %T Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies. %A Elks, Cathy E %A Perry, John R B %A Sulem, Patrick %A Chasman, Daniel I %A Franceschini, Nora %A He, Chunyan %A Lunetta, Kathryn L %A Visser, Jenny A %A Byrne, Enda M %A Cousminer, Diana L %A Gudbjartsson, Daniel F %A Esko, Tõnu %A Feenstra, Bjarke %A Hottenga, Jouke-Jan %A Koller, Daniel L %A Kutalik, Zoltán %A Lin, Peng %A Mangino, Massimo %A Marongiu, Mara %A McArdle, Patrick F %A Smith, Albert V %A Stolk, Lisette %A van Wingerden, Sophie H %A Zhao, Jing Hua %A Albrecht, Eva %A Corre, Tanguy %A Ingelsson, Erik %A Hayward, Caroline %A Magnusson, Patrik K E %A Smith, Erin N %A Ulivi, Shelia %A Warrington, Nicole M %A Zgaga, Lina %A Alavere, Helen %A Amin, Najaf %A Aspelund, Thor %A Bandinelli, Stefania %A Barroso, Inês %A Berenson, Gerald S %A Bergmann, Sven %A Blackburn, Hannah %A Boerwinkle, Eric %A Buring, Julie E %A Busonero, Fabio %A Campbell, Harry %A Chanock, Stephen J %A Chen, Wei %A Cornelis, Marilyn C %A Couper, David %A Coviello, Andrea D %A d'Adamo, Pio %A de Faire, Ulf %A de Geus, Eco J C %A Deloukas, Panos %A Döring, Angela %A Smith, George Davey %A Easton, Douglas F %A Eiriksdottir, Gudny %A Emilsson, Valur %A Eriksson, Johan %A Ferrucci, Luigi %A Folsom, Aaron R %A Foroud, Tatiana %A Garcia, Melissa %A Gasparini, Paolo %A Geller, Frank %A Gieger, Christian %A Gudnason, Vilmundur %A Hall, Per %A Hankinson, Susan E %A Ferreli, Liana %A Heath, Andrew C %A Hernandez, Dena G %A Hofman, Albert %A Hu, Frank B %A Illig, Thomas %A Järvelin, Marjo-Riitta %A Johnson, Andrew D %A Karasik, David %A Khaw, Kay-Tee %A Kiel, Douglas P %A Kilpeläinen, Tuomas O %A Kolcic, Ivana %A Kraft, Peter %A Launer, Lenore J %A Laven, Joop S E %A Li, Shengxu %A Liu, Jianjun %A Levy, Daniel %A Martin, Nicholas G %A McArdle, Wendy L %A Melbye, Mads %A Mooser, Vincent %A Murray, Jeffrey C %A Murray, Sarah S %A Nalls, Michael A %A Navarro, Pau %A Nelis, Mari %A Ness, Andrew R %A Northstone, Kate %A Oostra, Ben A %A Peacock, Munro %A Palmer, Lyle J %A Palotie, Aarno %A Paré, Guillaume %A Parker, Alex N %A Pedersen, Nancy L %A Peltonen, Leena %A Pennell, Craig E %A Pharoah, Paul %A Polasek, Ozren %A Plump, Andrew S %A Pouta, Anneli %A Porcu, Eleonora %A Rafnar, Thorunn %A Rice, John P %A Ring, Susan M %A Rivadeneira, Fernando %A Rudan, Igor %A Sala, Cinzia %A Salomaa, Veikko %A Sanna, Serena %A Schlessinger, David %A Schork, Nicholas J %A Scuteri, Angelo %A Segrè, Ayellet V %A Shuldiner, Alan R %A Soranzo, Nicole %A Sovio, Ulla %A Srinivasan, Sathanur R %A Strachan, David P %A Tammesoo, Mar-Liis %A Tikkanen, Emmi %A Toniolo, Daniela %A Tsui, Kim %A Tryggvadottir, Laufey %A Tyrer, Jonathon %A Uda, Manuela %A van Dam, Rob M %A van Meurs, Joyce B J %A Vollenweider, Peter %A Waeber, Gerard %A Wareham, Nicholas J %A Waterworth, Dawn M %A Weedon, Michael N %A Wichmann, H Erich %A Willemsen, Gonneke %A Wilson, James F %A Wright, Alan F %A Young, Lauren %A Zhai, Guangju %A Zhuang, Wei Vivian %A Bierut, Laura J %A Boomsma, Dorret I %A Boyd, Heather A %A Crisponi, Laura %A Demerath, Ellen W %A van Duijn, Cornelia M %A Econs, Michael J %A Harris, Tamara B %A Hunter, David J %A Loos, Ruth J F %A Metspalu, Andres %A Montgomery, Grant W %A Ridker, Paul M %A Spector, Tim D %A Streeten, Elizabeth A %A Stefansson, Kari %A Thorsteinsdottir, Unnur %A Uitterlinden, André G %A Widen, Elisabeth %A Murabito, Joanne M %A Ong, Ken K %A Murray, Anna %K Adolescent %K Aging %K Body Height %K Body Size %K Child %K DNA Copy Number Variations %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Inheritance Patterns %K Menarche %K Obesity %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Reproducibility of Results %K Time Factors %X

To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing.

%B Nat Genet %V 42 %P 1077-85 %8 2010 Dec %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/21102462?dopt=Abstract %R 10.1038/ng.714