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Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation

Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. W...

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Autores principales: Hoffmann, Thomas J., Ehret, Georg B., Nandakumar, Priyanka, Ranatunga, Dilrini, Schaefer, Catherine, Kwok, Pui-Yan, Iribarren, Carlos, Chakravarti, Aravinda, Risch, Neil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370207/
https://www.ncbi.nlm.nih.gov/pubmed/27841878
http://dx.doi.org/10.1038/ng.3715
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author Hoffmann, Thomas J.
Ehret, Georg B.
Nandakumar, Priyanka
Ranatunga, Dilrini
Schaefer, Catherine
Kwok, Pui-Yan
Iribarren, Carlos
Chakravarti, Aravinda
Risch, Neil
author_facet Hoffmann, Thomas J.
Ehret, Georg B.
Nandakumar, Priyanka
Ranatunga, Dilrini
Schaefer, Catherine
Kwok, Pui-Yan
Iribarren, Carlos
Chakravarti, Aravinda
Risch, Neil
author_sort Hoffmann, Thomas J.
collection PubMed
description Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. We identified 39 novel among 75 significant loci (P≤5×10(−8)), most replicating in the combined International Consortium for Blood Pressure (ICBP, n=69,396) and UK Biobank (UKB, n=152,081) studies. Combining GERA with ICBP yielded 36 additional novel loci, most replicating in UKB. Combining all three studies (n=321,262) yielded 241 additional genome-wide significant loci, although for these no replication sample was available. All associated loci explained 2.9%/2.5%/3.1% of systolic/diastolic/pulse pressure variation in GERA non-Hispanic whites. Using multiple BP measurements in GERA doubled the variance explained. A normalized risk score was associated with time-to-onset of hypertension (hazards ratio=1.18, P=10(−44)). Expression quantitative trait locus analysis of BP loci showed enrichment in aorta and tibial artery.
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spelling pubmed-53702072017-05-14 Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation Hoffmann, Thomas J. Ehret, Georg B. Nandakumar, Priyanka Ranatunga, Dilrini Schaefer, Catherine Kwok, Pui-Yan Iribarren, Carlos Chakravarti, Aravinda Risch, Neil Nat Genet Article Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. We identified 39 novel among 75 significant loci (P≤5×10(−8)), most replicating in the combined International Consortium for Blood Pressure (ICBP, n=69,396) and UK Biobank (UKB, n=152,081) studies. Combining GERA with ICBP yielded 36 additional novel loci, most replicating in UKB. Combining all three studies (n=321,262) yielded 241 additional genome-wide significant loci, although for these no replication sample was available. All associated loci explained 2.9%/2.5%/3.1% of systolic/diastolic/pulse pressure variation in GERA non-Hispanic whites. Using multiple BP measurements in GERA doubled the variance explained. A normalized risk score was associated with time-to-onset of hypertension (hazards ratio=1.18, P=10(−44)). Expression quantitative trait locus analysis of BP loci showed enrichment in aorta and tibial artery. 2016-11-14 2017-01 /pmc/articles/PMC5370207/ /pubmed/27841878 http://dx.doi.org/10.1038/ng.3715 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Hoffmann, Thomas J.
Ehret, Georg B.
Nandakumar, Priyanka
Ranatunga, Dilrini
Schaefer, Catherine
Kwok, Pui-Yan
Iribarren, Carlos
Chakravarti, Aravinda
Risch, Neil
Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title_full Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title_fullStr Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title_full_unstemmed Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title_short Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
title_sort genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370207/
https://www.ncbi.nlm.nih.gov/pubmed/27841878
http://dx.doi.org/10.1038/ng.3715
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