Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.

Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic back...

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Main Authors: Symen Ligthart, Paul S de Vries, André G Uitterlinden, Albert Hofman, CHARGE Inflammation working group, Oscar H Franco, Daniel I Chasman, Abbas Dehghan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4358943?pdf=render
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spelling doaj-336a5522e5704514bd4364fed18daa962020-11-25T02:06:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01103e011885910.1371/journal.pone.0118859Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.Symen LigthartPaul S de VriesAndré G UitterlindenAlbert HofmanCHARGE Inflammation working groupOscar H FrancoDaniel I ChasmanAbbas DehghanPleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.http://europepmc.org/articles/PMC4358943?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Symen Ligthart
Paul S de Vries
André G Uitterlinden
Albert Hofman
CHARGE Inflammation working group
Oscar H Franco
Daniel I Chasman
Abbas Dehghan
spellingShingle Symen Ligthart
Paul S de Vries
André G Uitterlinden
Albert Hofman
CHARGE Inflammation working group
Oscar H Franco
Daniel I Chasman
Abbas Dehghan
Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
PLoS ONE
author_facet Symen Ligthart
Paul S de Vries
André G Uitterlinden
Albert Hofman
CHARGE Inflammation working group
Oscar H Franco
Daniel I Chasman
Abbas Dehghan
author_sort Symen Ligthart
title Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
title_short Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
title_full Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
title_fullStr Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
title_full_unstemmed Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
title_sort pleiotropy among common genetic loci identified for cardiometabolic disorders and c-reactive protein.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.
url http://europepmc.org/articles/PMC4358943?pdf=render
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