A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts

The Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years....

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Published inPloS one Vol. 12; no. 3; p. e0173997
Main Authors Lindström, Sara, Loomis, Stephanie, Turman, Constance, Huang, Hongyan, Huang, Jinyan, Aschard, Hugues, Chan, Andrew T., Choi, Hyon, Cornelis, Marilyn, Curhan, Gary, De Vivo, Immaculata, Eliassen, A. Heather, Fuchs, Charles, Gaziano, Michael, Hankinson, Susan E., Hu, Frank, Jensen, Majken, Kang, Jae H., Kabrhel, Christopher, Liang, Liming, Pasquale, Louis R., Rimm, Eric, Stampfer, Meir J., Tamimi, Rulla M., Tworoger, Shelley S., Wiggs, Janey L., Hunter, David J., Kraft, Peter
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 16.03.2017
Public Library of Science (PLoS)
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ISSN1932-6203
1932-6203
DOI10.1371/journal.pone.0173997

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Summary:The Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years. Over 160,000 study participants across the cohorts have donated a DNA sample and to date, 20,691 subjects have been genotyped as part of genome-wide association studies (GWAS) of twelve primary outcomes. However, these studies utilized six different GWAS arrays making it difficult to conduct analyses of secondary phenotypes or share controls across studies. To allow for secondary analyses of these data, we have created three new datasets merged by platform family and performed imputation using a common reference panel, the 1,000 Genomes Phase I release. Here, we describe the methodology behind the data merging and imputation and present imputation quality statistics and association results from two GWAS of secondary phenotypes (body mass index (BMI) and venous thromboembolism (VTE)). We observed the strongest BMI association for the FTO SNP rs55872725 (β = 0.45, p = 3.48x10-22), and using a significance level of p = 0.05, we replicated 19 out of 32 known BMI SNPs. For VTE, we observed the strongest association for the rs2040445 SNP (OR = 2.17, 95% CI: 1.79-2.63, p = 2.70x10-15), located downstream of F5 and also observed significant associations for the known ABO and F11 regions. This pooled resource can be used to maximize power in GWAS of phenotypes collected across the cohorts and for studying gene-environment interactions as well as rare phenotypes and genotypes.
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PMCID: PMC5354293
Conceptualization: PK.Data curation: S. Loomis CT HH JH MC MJ.Formal analysis: S. Lindström S. Loomis CT HH JH HA MC MJ.Funding acquisition: S. Lindström ATC HC GC IDV AHE CF MG SEH FH JHK CK LRP ER MJS RMT SST JLW DJH.Methodology: PK.Resources: ATC HC GC IDV AHE CF MG SEH FH JHK CK LRP ER MJS RMT SST JLW DJH.Supervision: PK.Visualization: S. Lindström CT HH.Writing – original draft: S. Lindström PK.Writing – review & editing: S. Lindström S. Loomis CT HH JH HA ATC HC MC GC IDV AHE CF MG SEH FH MJ JHK CK LL LRP ER MJS RMT SST JLW DJH PK.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0173997