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Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases
Family history is a strong risk factor for many common chronic diseases and summarizes shared environmental and genetic risk, but how this increased risk is mediated is unknown. We developed a “family history–wide association study” (FamWAS) to systematically and comprehensively test clinical and en...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670049/ https://www.ncbi.nlm.nih.gov/pubmed/31172187 http://dx.doi.org/10.1093/aje/kwz125 |
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author | Rasooly, Danielle Ioannidis, John P A Khoury, Muin J Patel, Chirag J |
author_facet | Rasooly, Danielle Ioannidis, John P A Khoury, Muin J Patel, Chirag J |
author_sort | Rasooly, Danielle |
collection | PubMed |
description | Family history is a strong risk factor for many common chronic diseases and summarizes shared environmental and genetic risk, but how this increased risk is mediated is unknown. We developed a “family history–wide association study” (FamWAS) to systematically and comprehensively test clinical and environmental quantitative traits (CEQTs) for their association with family history of disease. We implemented our method on 457 CEQTs for association with family history of diabetes, asthma, and coronary heart disease (CHD) in 42,940 adults spanning 8 waves of the 1999–2014 US National Health and Nutrition Examination Survey. We conducted pooled analyses of the 8 survey waves and analyzed trait associations using survey-weighted logistic regression. We identified 172 (37.6% of total), 32 (7.0%), and 78 (17.1%) CEQTs associated with family history of diabetes, asthma, and CHD, respectively, in subcohorts of individuals without the respective disease. Twenty associated CEQTs were shared across family history of diabetes, asthma, and CHD, far more than expected by chance. FamWAS can examine traits not previously studied in association with family history and uncover trait overlap, highlighting a putative shared mechanism by which family history influences disease risk. |
format | Online Article Text |
id | pubmed-6670049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66700492019-08-05 Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases Rasooly, Danielle Ioannidis, John P A Khoury, Muin J Patel, Chirag J Am J Epidemiol Practice of Epidemiology Family history is a strong risk factor for many common chronic diseases and summarizes shared environmental and genetic risk, but how this increased risk is mediated is unknown. We developed a “family history–wide association study” (FamWAS) to systematically and comprehensively test clinical and environmental quantitative traits (CEQTs) for their association with family history of disease. We implemented our method on 457 CEQTs for association with family history of diabetes, asthma, and coronary heart disease (CHD) in 42,940 adults spanning 8 waves of the 1999–2014 US National Health and Nutrition Examination Survey. We conducted pooled analyses of the 8 survey waves and analyzed trait associations using survey-weighted logistic regression. We identified 172 (37.6% of total), 32 (7.0%), and 78 (17.1%) CEQTs associated with family history of diabetes, asthma, and CHD, respectively, in subcohorts of individuals without the respective disease. Twenty associated CEQTs were shared across family history of diabetes, asthma, and CHD, far more than expected by chance. FamWAS can examine traits not previously studied in association with family history and uncover trait overlap, highlighting a putative shared mechanism by which family history influences disease risk. Oxford University Press 2019-08 2019-06-07 /pmc/articles/PMC6670049/ /pubmed/31172187 http://dx.doi.org/10.1093/aje/kwz125 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journalpermissions@oup.com. |
spellingShingle | Practice of Epidemiology Rasooly, Danielle Ioannidis, John P A Khoury, Muin J Patel, Chirag J Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title | Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title_full | Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title_fullStr | Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title_full_unstemmed | Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title_short | Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases |
title_sort | family history–wide association study to identify clinical and environmental risk factors for common chronic diseases |
topic | Practice of Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670049/ https://www.ncbi.nlm.nih.gov/pubmed/31172187 http://dx.doi.org/10.1093/aje/kwz125 |
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