{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:56:21Z","timestamp":1791294981505,"version":"4.1.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2012,2,1]],"date-time":"2012-02-01T00:00:00Z","timestamp":1328054400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Eur J Hum Genet"],"published-print":{"date-parts":[[2012,7]]},"DOI":"10.1038\/ejhg.2012.3","type":"journal-article","created":{"date-parts":[[2012,2,1]],"date-time":"2012-02-01T11:57:10Z","timestamp":1328097430000},"page":"801-805","source":"Crossref","is-referenced-by-count":122,"title":["1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data"],"prefix":"10.1038","volume":"20","author":[{"given":"Jie","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Ellinghaus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andre","family":"Franke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bryan","family":"Howie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2012,2,1]]},"reference":[{"key":"BFejhg20123_CR1","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1038\/nature05911","volume":"447","author":"WTCCC","year":"2007","unstructured":"WTCCC: Genome-wide association study of 14\u2009000 cases of seven common diseases and 3000 shared controls. Nature 2007; 447: 661\u2013678.","journal-title":"Nature"},{"key":"BFejhg20123_CR2","doi-asserted-by":"publisher","first-page":"3112","DOI":"10.2337\/db08-0516","volume":"57","author":"M Orho-Melander","year":"2008","unstructured":"Orho-Melander M, Melander O, Guiducci C et al: Common missense variant in the glucokinase regulatory protein gene is associated with increased plasma triglyceride and C-reactive protein but lower fasting glucose concentrations. Diabetes 2008; 57: 3112\u20133121.","journal-title":"Diabetes"},{"key":"BFejhg20123_CR3","doi-asserted-by":"publisher","first-page":"R122","DOI":"10.1093\/hmg\/ddn288","volume":"17","author":"PI de Bakker","year":"2008","unstructured":"de Bakker PI, Ferreira MA, Jia X, Neale BM, Raychaudhuri S, Voight BF : Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Hum Mol Genet 2008; 17: R122\u2013R128.","journal-title":"Hum Mol Genet"},{"key":"BFejhg20123_CR4","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1146\/annurev.genom.9.081307.164242","volume":"10","author":"Y Li","year":"2009","unstructured":"Li Y, Willer C, Sanna S, Abecasis G : Genotype imputation. Annu Rev Genomics Hum Genet 2009; 10: 387\u2013406.","journal-title":"Annu Rev Genomics Hum Genet"},{"key":"BFejhg20123_CR5","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1038\/nrg2796","volume":"11","author":"J Marchini","year":"2010","unstructured":"Marchini J, Howie B : Genotype imputation for genome-wide association studies. Nat Rev Genet 2010; 11: 499\u2013511.","journal-title":"Nat Rev Genet"},{"key":"BFejhg20123_CR6","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1101\/gr.4413105","volume":"15","author":"GA Thorisson","year":"2005","unstructured":"Thorisson GA, Smith AV, Krishnan L, Stein LD : The International HapMap Project Web site. Genome Res 2005; 15: 1592\u20131593.","journal-title":"Genome Res"},{"key":"BFejhg20123_CR7","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1038\/nature09534","volume":"467","author":"RM Durbin","year":"2010","unstructured":"Durbin RM, Abecasis GR, Altshuler DL et al: A map of human genome variation from population-scale sequencing. Nature 2010; 467: 1061\u20131073.","journal-title":"Nature"},{"key":"BFejhg20123_CR8","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/ng.572","volume":"42","author":"JZ Liu","year":"2010","unstructured":"Liu JZ, Tozzi F, Waterworth DM et al: Meta-analysis and imputation refines the association of 15q25 with smoking quantity. Nat Genet 2010; 42: 436\u2013440.","journal-title":"Nat Genet"},{"key":"BFejhg20123_CR9","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1038\/ng.584","volume":"42","author":"S Sanna","year":"2010","unstructured":"Sanna S, Pitzalis M, Zoledziewska M et al: Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis. Nat Genet 2010; 42: 495\u2013497.","journal-title":"Nat Genet"},{"key":"BFejhg20123_CR10","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1086\/519795","volume":"81","author":"S Purcell","year":"2007","unstructured":"Purcell S, Neale B, Todd-Brown K et al: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559\u2013575.","journal-title":"Am J Hum Genet"},{"key":"BFejhg20123_CR11","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1002\/gepi.20533","volume":"34","author":"Y Li","year":"2010","unstructured":"Li Y, Willer CJ, Ding J, Scheet P, Abecasis GR : MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol 2010; 34: 816\u2013834.","journal-title":"Genet Epidemiol"},{"key":"BFejhg20123_CR12","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1038\/nmeth0410-248","volume":"7","author":"IA Adzhubei","year":"2010","unstructured":"Adzhubei IA, Schmidt S, Peshkin L et al: A method and server for predicting damaging missense mutations. Nat Methods 2010; 7: 248\u2013249.","journal-title":"Nat Methods"},{"key":"BFejhg20123_CR13","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1086\/381000","volume":"74","author":"CS Carlson","year":"2004","unstructured":"Carlson CS, Eberle MA, Rieder MJ, Yi Q, Kruglyak L, Nickerson DA : Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am J Hum Genet 2004; 74: 106\u2013120.","journal-title":"Am J Hum Genet"},{"key":"BFejhg20123_CR14","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.ajhg.2009.01.005","volume":"84","author":"BL Browning","year":"2009","unstructured":"Browning BL, Browning SR : A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals. Am J Hum Genet 2009; 84: 210\u2013223.","journal-title":"Am J Hum Genet"},{"key":"BFejhg20123_CR15","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1111\/j.0006-341X.1999.00997.x","volume":"55","author":"B Devlin","year":"1999","unstructured":"Devlin B, Roeder K : Genomic control for association studies. Biometrics 1999; 55: 997\u20131004.","journal-title":"Biometrics"},{"key":"BFejhg20123_CR16","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1038\/nature06258","volume":"449","author":"The International HapMap Consortium","year":"2007","unstructured":"The International HapMap Consortium: A second generation human haplotype map of over 3.1 million SNPs. Nature 2007; 449: 851\u2013861.","journal-title":"Nature"},{"key":"BFejhg20123_CR17","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/gepi.20303","volume":"32","author":"I Pe'er","year":"2008","unstructured":"Pe'er I, Yelensky R, Altshuler D, Daly MJ : Estimation of the multiple testing burden for genomewide association studies of nearly all common variants. Genet Epidemiol 2008; 32: 381\u2013385.","journal-title":"Genet Epidemiol"},{"key":"BFejhg20123_CR18","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1038\/ng.381","volume":"41","author":"JC Barrett","year":"2009","unstructured":"Barrett JC, Clayton DG, Concannon P et al: Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes. Nat Genet 2009; 41: 703\u2013707.","journal-title":"Nat Genet"},{"key":"BFejhg20123_CR19","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1126\/science.1142358","volume":"316","author":"R Saxena","year":"2007","unstructured":"Saxena R, Voight BF, Lyssenko V et al: Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007; 316: 1331\u20131336.","journal-title":"Science"},{"key":"BFejhg20123_CR20","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1038\/ng.871","volume":"43","author":"J Shea","year":"2011","unstructured":"Shea J, Agarwala V, Philippakis AA et al: Comparing strategies to fine-map the association of common SNPs at chromosome 9p21 with type 2 diabetes and myocardial infarction. Nat Genet 2011; 43: 801\u2013805.","journal-title":"Nat Genet"},{"key":"BFejhg20123_CR21","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1242\/dev.013276","volume":"135","author":"A Iulianella","year":"2008","unstructured":"Iulianella A, Sharma M, Durnin M, Vanden Heuvel GB, Trainor PA : Cux2 (Cutl2) integrates neural progenitor development with cell-cycle progression during spinal cord neurogenesis. Development 2008; 135: 729\u2013741.","journal-title":"Development"},{"key":"BFejhg20123_CR22","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1038\/ng.175","volume":"40","author":"JC Barrett","year":"2008","unstructured":"Barrett JC, Hansoul S, Nicolae DL et al: Genome-wide association defines more than 30 distinct susceptibility loci for Crohn\u2032s disease. Nat Genet 2008; 40: 955\u2013962.","journal-title":"Nat Genet"},{"key":"BFejhg20123_CR23","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s00439-008-0606-5","volume":"125","author":"M Nothnagel","year":"2009","unstructured":"Nothnagel M, Ellinghaus D, Schreiber S, Krawczak M, Franke A : A comprehensive evaluation of SNP genotype imputation. Hum Genet 2009; 125: 163\u2013171.","journal-title":"Hum Genet"},{"key":"BFejhg20123_CR24","doi-asserted-by":"publisher","first-page":"e3551","DOI":"10.1371\/journal.pone.0003551","volume":"3","author":"YF Pei","year":"2008","unstructured":"Pei YF, Li J, Zhang L, Papasian CJ, Deng HW : Analyses and comparison of accuracy of different genotype imputation methods. PLoS One 2008; 3: e3551.","journal-title":"PLoS One"},{"key":"BFejhg20123_CR25","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1002\/gepi.20552","volume":"35","author":"J Zheng","year":"2011","unstructured":"Zheng J, Li Y, Abecasis GR, Scheet P : A comparison of approaches to account for uncertainty in analysis of imputed genotypes. Genet Epidemiol 2011; 35: 102\u2013110.","journal-title":"Genet Epidemiol"},{"key":"BFejhg20123_CR26","doi-asserted-by":"publisher","first-page":"e10827","DOI":"10.1371\/journal.pone.0010827","volume":"5","author":"YF Pei","year":"2010","unstructured":"Pei YF, Zhang L, Li J, Deng HW : Analyses and comparison of imputation-based association methods. PLoS One 2010; 5: e10827.","journal-title":"PLoS One"},{"key":"BFejhg20123_CR27","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1086\/383251","volume":"74","author":"DR Nyholt","year":"2004","unstructured":"Nyholt DR : A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. Am J Hum Genet 2004; 74: 765\u2013769.","journal-title":"Am J Hum Genet"},{"key":"BFejhg20123_CR28","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1086\/522036","volume":"81","author":"KN Conneely","year":"2007","unstructured":"Conneely KN, Boehnke M : So many correlated tests, so little time! Rapid adjustment of p values for multiple correlated tests. Am J Hum Genet 2007; 81: 1158\u20131168.","journal-title":"Am J Hum Genet"},{"key":"BFejhg20123_CR29","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1002\/gepi.20563","volume":"35","author":"XY Gao","year":"2011","unstructured":"Gao XY : Multiple testing corrections for imputed SNPs. Genet. Epidemiol 2011; 35: 154\u2013158.","journal-title":"Genet. Epidemiol"},{"key":"BFejhg20123_CR30","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1038\/jhg.2011.34","volume":"56","author":"SH Wen","year":"2011","unstructured":"Wen SH, Lu ZS : Factors affecting the effective number of tests in genetic association studies: a comparative study of three PCA-based methods. J Hum Genet 2011; 56: 428\u2013435.","journal-title":"J Hum Genet"},{"key":"BFejhg20123_CR31","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.amjhyper.2004.09.002","volume":"18","author":"IJ Kullo","year":"2005","unstructured":"Kullo IJ, de Andrade M, Boerwinkle E, McConnell JP, Kardia SL, Turner ST : Pleiotropic genetic effects contribute to the correlation between HDL cholesterol, triglycerides, and LDL particle size in hypertensive sibships. Am J Hypertens 2005; 18: 99\u2013103.","journal-title":"Am J Hypertens"},{"key":"BFejhg20123_CR32","doi-asserted-by":"publisher","first-page":"e1002322","DOI":"10.1371\/journal.pgen.1002322","volume":"7","author":"CL Avery","year":"2011","unstructured":"Avery CL, He Q, North KE et al: A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. PLoS Genet 2011; 7: e1002322.","journal-title":"PLoS Genet"},{"key":"BFejhg20123_CR33","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1016\/j.ajhg.2010.10.012","volume":"87","author":"M Zawistowski","year":"2010","unstructured":"Zawistowski M, Gopalakrishnan S, Ding J, Li Y, Grimm S, Zollner S : Extending rare-variant testing strategies: analysis of noncoding sequence and imputed genotypes. Am J Hum Genet 2010; 87: 604\u2013617.","journal-title":"Am J Hum Genet"}],"container-title":["European Journal of Human Genetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.nature.com\/articles\/ejhg20123.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/ejhg20123","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/ejhg20123.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T17:07:21Z","timestamp":1684429641000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/ejhg20123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,2,1]]},"references-count":33,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2012,7]]}},"alternative-id":["BFejhg20123"],"URL":"https:\/\/doi.org\/10.1038\/ejhg.2012.3","relation":{},"ISSN":["1018-4813","1476-5438"],"issn-type":[{"value":"1018-4813","type":"print"},{"value":"1476-5438","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,2,1]]}}}