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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. Over 160,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354293/ https://www.ncbi.nlm.nih.gov/pubmed/28301549 http://dx.doi.org/10.1371/journal.pone.0173997 |
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author | 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 |
author_facet | 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 |
author_sort | Lindström, Sara |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5354293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53542932017-04-06 A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts 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 PLoS One Research Article 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. Public Library of Science 2017-03-16 /pmc/articles/PMC5354293/ /pubmed/28301549 http://dx.doi.org/10.1371/journal.pone.0173997 Text en © 2017 Lindström et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article 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 A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title | A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title_full | A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title_fullStr | A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title_full_unstemmed | A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title_short | A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
title_sort | comprehensive survey of genetic variation in 20,691 subjects from four large cohorts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354293/ https://www.ncbi.nlm.nih.gov/pubmed/28301549 http://dx.doi.org/10.1371/journal.pone.0173997 |
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