Linkage mapping of CVD risk traits in the isolated Norfolk Island population

Bellis, C., Cox, H. C., Dyer, T. D., Charlesworth, J. C., Begley, K. N., Quinlan, S., Lea, Rod A., Heath, S. C., Blangero, J., & Griffiths, Lyn R. (2008) Linkage mapping of CVD risk traits in the isolated Norfolk Island population. Human Genetics, 124(5), pp. 543-552.

View at publisher


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 inXuences 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.

Impact and interest:

17 citations in Scopus
Search Google Scholar™
16 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 62681
Item Type: Journal Article
Refereed: Yes
DOI: 10.1007/s00439-008-0580-y
ISSN: 1432-1203
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 Springer
Deposited On: 19 Sep 2013 05:27
Last Modified: 02 Jul 2014 22:53

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page