Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease

Background: Coronary artery disease (CAD) is a complex trait influenced by genetic and environmental factors. Geographic isolation and natural selection present fundamental forces to diversify genetic backgrounds during human evolution and migration. In this study, we attempted to assess whether hum...

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Main Authors: Hua Lin, Li Lin, Zhou Ping, Yang Zheng
Format: Article
Language:English
Published: Society of Medical Biochemists of Serbia, Belgrade 2013-01-01
Series:Journal of Medical Biochemistry
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2013/1452-82581303256H.pdf
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spelling doaj-8580814af4f64665ad719c2a572618d12020-11-25T03:02:46ZengSociety of Medical Biochemists of Serbia, BelgradeJournal of Medical Biochemistry1452-82581452-82662013-01-013232562741452-82581303256HCombining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery diseaseHua Lin0Li Lin1Zhou Ping2Yang Zheng3Biomedical Engineering Institute of Capital Medical University, Beijing, ChinaBiomedical Engineering Institute of Capital Medical University, Beijing, ChinaBiomedical Engineering Institute of Capital Medical University, Beijing, ChinaBiomedical Engineering Institute of Capital Medical University, Beijing, ChinaBackground: Coronary artery disease (CAD) is a complex trait influenced by genetic and environmental factors. Geographic isolation and natural selection present fundamental forces to diversify genetic backgrounds during human evolution and migration. In this study, we attempted to assess whether human geographic isolation affects the genetic predisposition of CAD. Methods: We first included 21 genetic association studies of the methylenetetrahydrofolate reductase (MTHFR) gene polymorphism C677T and CAD from 16 geographic regions consisting of 9,008 participants and performed a meta-analysis based on the distributions of these studies. Results: It was found that the positive signals for the association of C677T with CAD were mainly enriched in the regions of northern Africa (pooled OR = 1.73, 95% CI = 1.45-2.06, Z = 3.17, P<0.0001) and India (pooled OR=1.61, 95% CI = 1.30- 2.00, Z=4.38, P<0.0001). To validate the potential geographic effects on the genetic polymorphism of CAD, we then carried out two additional meta-analyses involving 30 and 13 studies on genetic associations of the angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) and APOA5 gene T1131C polymorphisms for CAD consisting of 22,190 and 12,322 participants, respectively. We found that the associations of T1131C with CAD were concentrated in East Asia (pooled OR=1.35, 95% CI=1.22-1.49, Z=6.00, P<10-5), whereas the associations of I/D polymorphism with CAD were clustering in Europe and America (pooled OR = 1.20, 95% CI = 1,04-1,39, Z=2,49, P=0,01)CI = 1.04-1.39, Z = 2.49, P = 0.01) and Turkey (pooled OR=1.33, 95% CI = 1.05-1.69, Z=2.40, P=0.02). Conclusions: Our results showed that geographic isolation might have potential effects on the genetic polymorphism of human complex diseases, such as CAD.https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2013/1452-82581303256H.pdfgenetic predispositiongeographic isolationcoronary artery diseasemeta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Hua Lin
Li Lin
Zhou Ping
Yang Zheng
spellingShingle Hua Lin
Li Lin
Zhou Ping
Yang Zheng
Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
Journal of Medical Biochemistry
genetic predisposition
geographic isolation
coronary artery disease
meta-analysis
author_facet Hua Lin
Li Lin
Zhou Ping
Yang Zheng
author_sort Hua Lin
title Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
title_short Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
title_full Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
title_fullStr Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
title_full_unstemmed Combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
title_sort combining geographic region with meta-analysis to map the potential association between three genetic polymorphisms and coronary artery disease
publisher Society of Medical Biochemists of Serbia, Belgrade
series Journal of Medical Biochemistry
issn 1452-8258
1452-8266
publishDate 2013-01-01
description Background: Coronary artery disease (CAD) is a complex trait influenced by genetic and environmental factors. Geographic isolation and natural selection present fundamental forces to diversify genetic backgrounds during human evolution and migration. In this study, we attempted to assess whether human geographic isolation affects the genetic predisposition of CAD. Methods: We first included 21 genetic association studies of the methylenetetrahydrofolate reductase (MTHFR) gene polymorphism C677T and CAD from 16 geographic regions consisting of 9,008 participants and performed a meta-analysis based on the distributions of these studies. Results: It was found that the positive signals for the association of C677T with CAD were mainly enriched in the regions of northern Africa (pooled OR = 1.73, 95% CI = 1.45-2.06, Z = 3.17, P<0.0001) and India (pooled OR=1.61, 95% CI = 1.30- 2.00, Z=4.38, P<0.0001). To validate the potential geographic effects on the genetic polymorphism of CAD, we then carried out two additional meta-analyses involving 30 and 13 studies on genetic associations of the angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) and APOA5 gene T1131C polymorphisms for CAD consisting of 22,190 and 12,322 participants, respectively. We found that the associations of T1131C with CAD were concentrated in East Asia (pooled OR=1.35, 95% CI=1.22-1.49, Z=6.00, P<10-5), whereas the associations of I/D polymorphism with CAD were clustering in Europe and America (pooled OR = 1.20, 95% CI = 1,04-1,39, Z=2,49, P=0,01)CI = 1.04-1.39, Z = 2.49, P = 0.01) and Turkey (pooled OR=1.33, 95% CI = 1.05-1.69, Z=2.40, P=0.02). Conclusions: Our results showed that geographic isolation might have potential effects on the genetic polymorphism of human complex diseases, such as CAD.
topic genetic predisposition
geographic isolation
coronary artery disease
meta-analysis
url https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2013/1452-82581303256H.pdf
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