%0 Journal Article %J Nat Commun %D 2015 %T Rare coding variants and X-linked loci associated with age at menarche. %A Lunetta, Kathryn L %A Day, Felix R %A Sulem, Patrick %A Ruth, Katherine S %A Tung, Joyce Y %A Hinds, David A %A Esko, Tõnu %A Elks, Cathy E %A Altmaier, Elisabeth %A He, Chunyan %A Huffman, Jennifer E %A Mihailov, Evelin %A Porcu, Eleonora %A Robino, Antonietta %A Rose, Lynda M %A Schick, Ursula M %A Stolk, Lisette %A Teumer, Alexander %A Thompson, Deborah J %A Traglia, Michela %A Wang, Carol A %A Yerges-Armstrong, Laura M %A Antoniou, Antonis C %A Barbieri, Caterina %A Coviello, Andrea D %A Cucca, Francesco %A Demerath, Ellen W %A Dunning, Alison M %A Gandin, Ilaria %A Grove, Megan L %A Gudbjartsson, Daniel F %A Hocking, Lynne J %A Hofman, Albert %A Huang, Jinyan %A Jackson, Rebecca D %A Karasik, David %A Kriebel, Jennifer %A Lange, Ethan M %A Lange, Leslie A %A Langenberg, Claudia %A Li, Xin %A Luan, Jian'an %A Mägi, Reedik %A Morrison, Alanna C %A Padmanabhan, Sandosh %A Pirie, Ailith %A Polasek, Ozren %A Porteous, David %A Reiner, Alex P %A Rivadeneira, Fernando %A Rudan, Igor %A Sala, Cinzia F %A Schlessinger, David %A Scott, Robert A %A Stöckl, Doris %A Visser, Jenny A %A Völker, Uwe %A Vozzi, Diego %A Wilson, James G %A Zygmunt, Marek %A Boerwinkle, Eric %A Buring, Julie E %A Crisponi, Laura %A Easton, Douglas F %A Hayward, Caroline %A Hu, Frank B %A Liu, Simin %A Metspalu, Andres %A Pennell, Craig E %A Ridker, Paul M %A Strauch, Konstantin %A Streeten, Elizabeth A %A Toniolo, Daniela %A Uitterlinden, André G %A Ulivi, Sheila %A Völzke, Henry %A Wareham, Nicholas J %A Wellons, Melissa %A Franceschini, Nora %A Chasman, Daniel I %A Thorsteinsdottir, Unnur %A Murray, Anna %A Stefansson, Kari %A Murabito, Joanne M %A Ong, Ken K %A Perry, John R B %X

More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only ∼3% of the trait variance. Here we test two overlooked sources of variation in 192,974 European ancestry women: low-frequency protein-coding variants and X-chromosome variants. Five missense/nonsense variants (in ALMS1/LAMB2/TNRC6A/TACR3/PRKAG1) are associated with age at menarche (minor allele frequencies 0.08-4.6%; effect sizes 0.08-1.25 years per allele; P<5 × 10(-8)). In addition, we identify common X-chromosome loci at IGSF1 (rs762080, P=9.4 × 10(-13)) and FAAH2 (rs5914101, P=4.9 × 10(-10)). Highlighted genes implicate cellular energy homeostasis, post-transcriptional gene silencing and fatty-acid amide signalling. A frequently reported mutation in TACR3 for idiopathic hypogonatrophic hypogonadism (p.W275X) is associated with 1.25-year-later menarche (P=2.8 × 10(-11)), illustrating the utility of population studies to estimate the penetrance of reportedly pathogenic mutations. Collectively, these novel variants explain ∼0.5% variance, indicating that these overlooked sources of variation do not substantially explain the 'missing heritability' of this complex trait.

%B Nat Commun %V 6 %P 7756 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/26239645?dopt=Abstract %R 10.1038/ncomms8756 %0 Journal Article %J Hum Mol Genet %D 2014 %T Trans-ethnic meta-analysis of white blood cell phenotypes. %A Keller, Margaux F %A Reiner, Alexander P %A Okada, Yukinori %A van Rooij, Frank J A %A Johnson, Andrew D %A Chen, Ming-Huei %A Smith, Albert V %A Morris, Andrew P %A Tanaka, Toshiko %A Ferrucci, Luigi %A Zonderman, Alan B %A Lettre, Guillaume %A Harris, Tamara %A Garcia, Melissa %A Bandinelli, Stefania %A Qayyum, Rehan %A Yanek, Lisa R %A Becker, Diane M %A Becker, Lewis C %A Kooperberg, Charles %A Keating, Brendan %A Reis, Jared %A Tang, Hua %A Boerwinkle, Eric %A Kamatani, Yoichiro %A Matsuda, Koichi %A Kamatani, Naoyuki %A Nakamura, Yusuke %A Kubo, Michiaki %A Liu, Simin %A Dehghan, Abbas %A Felix, Janine F %A Hofman, Albert %A Uitterlinden, André G %A van Duijn, Cornelia M %A Franco, Oscar H %A Longo, Dan L %A Singleton, Andrew B %A Psaty, Bruce M %A Evans, Michelle K %A Cupples, L Adrienne %A Rotter, Jerome I %A O'Donnell, Christopher J %A Takahashi, Atsushi %A Wilson, James G %A Ganesh, Santhi K %A Nalls, Mike A %K African Americans %K Asian Continental Ancestry Group %K Bayes Theorem %K European Continental Ancestry Group %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Humans %K Leukocyte Count %K Leukocytes %K Linkage Disequilibrium %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.

%B Hum Mol Genet %V 23 %P 6944-60 %8 2014 Dec 20 %G eng %N 25 %1 http://www.ncbi.nlm.nih.gov/pubmed/25096241?dopt=Abstract %R 10.1093/hmg/ddu401