%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 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