کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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2817928 | 1160019 | 2012 | 5 صفحه PDF | دانلود رایگان |

ObjectiveGenetic 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.MethodsPLINK 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.ResultsThrough meta-analysis we identified 33 SNPs associated with BMI with p < 10− 4. The most significant association was observed with rs2967951 (p = 1.19 × 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 × 10− 6) further supported the association with BMI on 5p15.2 (p < 1.8 × 10− 5). 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).ConclusionWe 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.
► We identified 33 SNPs associated with BMI with p < 10− 4 through meta-analysis.
► The most significant association was observed with rs2967951 at 5p15.2.
► The novel locus at 5p15.2 was well-replicated in an independent sample.
► These findings offer the potential for new insights into the pathogenesis of obesity.
Journal: Gene - Volume 500, Issue 1, 25 May 2012, Pages 80–84