Journal
OBESITY
Volume 18, Issue 4, Pages 803-808Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/oby.2009.359
Keywords
-
Categories
Funding
- European Commission [018947, LSHG-CT-2006-01947]
- Swedish Natural Sciences Research Council
- Foundation for Strategic Research
- Linneaus Centre for Bioinformatics
- Scottish Executive Health Department
- Royal Society
- Ministry of Health of the Autonomous Province of Bolzano
- South Tyrolean Sparkasse Foundation
- Netherlands Organization for Scientific Research (NWO) [91203014]
- NWO-the Russian Foundation for Basic Research (NWO-RFBR) [047.017.043]
- Center of Medical Systems Biology
- Medical Research Council UK
- Ministry of Science, Education and Sport of the Republic of Croatia [108-1080315-0302]
- Chief Scientist Office [CZB/4/710] Funding Source: researchfish
- Medical Research Council [MC_U127561128] Funding Source: researchfish
- MRC [MC_U127561128] Funding Source: UKRI
Ask authors/readers for more resources
As major risk-factors for diabetes and cardiovascular diseases, the genetic contribution to obesity-related traits has been of interest for decades. Recently, a limited number of common genetic variants, which have replicated in different populations, have been identified. One approach to increase the statistical power in genetic mapping studies is to focus on populations with increased levels of linkage disequilibrium (LD) and reduced genetic diversity. We have performed joint linkage and genome-wide association analyses for weight and BMI in 3,448 (linkage) and 3,925 (association) partly overlapping healthy individuals from five European populations. A total of four chromosomal regions (two for weight and two for BMI) showed suggestive linkage (lod > 2.69) either in one of the populations or in the joint data. At the genome-wide level (nominal P < 1.6 x 10(-7), Bonferroni-adjusted P < 0.05) one single-nucleotide polymorphism (SNP) (rs12517906) (nominal P = 7.3 x 10(-8)) was associated with weight, whereas none with BMI. The SNP associated with weight is located close to MGAT1. The monoacylglycerol acyltransferase (MGAT) enzyme family is known to be involved in dietary fat absorption. There was no overlap between the linkage regions and the associated SNPs. Our results show that genetic effects influencing weight and BMI are shared across diverse European populations, even though some of these populations have experienced recent population bottlenecks and/or been affected by genetic drift. The analysis enabled us to identify a new candidate gene, MGAT1, associated with weight in women.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available