Journal
GENE
Volume 500, Issue 1, Pages 80-84Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.gene.2012.03.046
Keywords
Body mass index; Genome-wide association; MARCH6; Meta-analysis; ROPN1L
Categories
Funding
- National Human Genome Research Institute (NHGRI)
- National Institute for General Medical Sciences (NIGMS)
- Marshfield Clinic, Health Resources Service Administration Office of Rural Health Policy [D1A RH00025]
- Wisconsin Department of Commerce [TDF FYO10718]
- NIH [U01HG004438, HHSN268200782096C]
- eMERGE Administrative Coordinating Center [U01HG004603]
- National Center for Biotechnology Information (NCBI)
- National Institutes of Health (NIH) Genes, Environment and Health Initiative (GEO) [U01 HG004422]
- GWAS as part of the GENEVA under GEI
- GENEVA Coordinating Center [U01 HG004446]
- National Center for Biotechnology Information
- COGA [U10 AA008401]
- COGEND [P01 CA089392]
- FSCD [R01 DA013423]
- NIH GEI [U01HG004438]
- National Institute on Drug Abuse
- [U01HG004608]
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Objective: Genetic factors play an important role in modulating the vulnerability to body mass index (BMI). The purpose of this study is to identify novel genetic variants for BMI using genome-wide association (GWA) meta-analysis. Methods: PLINK software was used to perform meta-analysis of two GWA studies (the FUSION and Marshfield samples) of 5218 Caucasian individuals with BMI. A replication study was conducted using the SAGE sample with 762 individuals. Results: Through meta-analysis we identified 33 SNPs associated with BMI with p<10(-4). The most significant association was observed with rs2967951 (p = 1.19 x 10(-6)) at 5p15.2 within ROPN1L gene. Two additional SNPs within ROPN1L and 5 SNPs within MARCH6 (the top SNP was rs2607292 with 4.27 x 10(-6)) further supported the association with BMI on 5p15.2 (p<1.8 x 10(-6)). Conditional analysis on 5p15.2 could not distinguish the effects of ROPN1L and MARCH6. Several SNPs within MARCH6 and ROPN1L were replicated in the SAGE sample (p<0.05). Conclusion: We identified a novel locus for BMI. These findings offer the potential for new insights into the pathogenesis of BMI and obesity and will serve as a resource for replication in other populations to elucidate the potential role of these genetic variants in BMI and obesity. Published by Elsevier B.V.
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