Linkage mapping of CVD risk traits in the isolated Norfolk Island population |
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Authors: | Bellis C Cox H C Dyer T D Charlesworth J C Begley K N Quinlan S Lea R A Heath S C Blangero J Griffiths L R |
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Institution: | (1) Genomics Research Centre, Griffith Institute for Health and Medical Research, Griffith University, Gold Coast PMB 50, GCMC Bundall 9726, Gold Coast, Australia;(2) Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, 78227, USA;(3) Division of Information Services, Griffith University, Gold Coast, Australia;(4) Institute of Environmental Science and Research Ltd, Porirua, New Zealand;(5) Centre National de Génotypage, 2 Rue Gaston Cremieux, Evry, France |
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Abstract: | To understand the underlying genetic architecture of cardiovascular disease (CVD) risk traits, we undertook a genome-wide
linkage scan to identify CVD quantitative trait loci (QTLs) in 377 individuals from the Norfolk Island population. The central
aim of this research focused on the utilization of a genetically and geographically isolated population of individuals from
Norfolk Island for the purposes of variance component linkage analysis to identify QTLs involved in CVD risk traits. Substantial
evidence supports the involvement of traits such as systolic and diastolic blood pressures, high-density lipoprotein-cholesterol,
low-density lipoprotein-cholesterol, body mass index and triglycerides as important risk factors for CVD pathogenesis. In
addition to the environmental influences of poor diet, reduced physical activity, increasing age, cigarette smoking and alcohol
consumption, many studies have illustrated a strong involvement of genetic components in the CVD phenotype through family
and twin studies. We undertook a genome scan using 400 markers spaced approximately 10 cM in 600 individuals from Norfolk
Island. Genotype data was analyzed using the variance components methods of SOLAR. Our results gave a peak LOD score of 2.01
localizing to chromosome 1p36 for systolic blood pressure and replicated previously implicated loci for other CVD relevant
QTLs. |
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