MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK.
Hum Mol Genet. 2012 Oct 15;21(20):4537-42. doi: 10.1093/hmg/dds283. Epub 2012 Jul 12.
Before the advent of genome-wide association studies (GWASs), hundreds of candidate genes for obesity-susceptibility had been identified through a variety of approaches. We examined whether those obesity candidate genes are enriched for associations with body mass index (BMI) compared with non-candidate genes by using data from a large-scale GWAS. A thorough literature search identified 547 candidate genes for obesity-susceptibility based on evidence from animal studies, Mendelian syndromes, linkage studies, genetic association studies and expression studies. Genomic regions were defined to include the genes ±10 kb of flanking sequence around candidate and non-candidate genes. We used summary statistics publicly available from the discovery stage of the genome-wide meta-analysis for BMI performed by the genetic investigation of anthropometric traits consortium in 123 564 individuals. Hypergeometric, rank tail-strength and gene-set enrichment analysis tests were used to test for the enrichment of association in candidate compared with non-candidate genes. The hypergeometric test of enrichment was not significant at the 5% P-value quantile (P = 0.35), but was nominally significant at the 25% quantile (P = 0.015). The rank tail-strength and gene-set enrichment tests were nominally significant for the full set of genes and borderline significant for the subset without SNPs at P < 10(-7). Taken together, the observed evidence for enrichment suggests that the candidate gene approach retains some value. However, the degree of enrichment is small despite the extensive number of candidate genes and the large sample size. Studies that focus on candidate genes have only slightly increased chances of detecting associations, and are likely to miss many true effects in non-candidate genes, at least for obesity-related traits.
在全基因组关联研究(GWAS)出现之前,通过多种方法已经确定了数百个肥胖易感性候选基因。我们通过使用大规模 GWAS 的数据,研究了这些肥胖候选基因是否与体重指数(BMI)相关联的可能性比非候选基因更为丰富。通过对动物研究、孟德尔综合征、连锁研究、遗传关联研究和表达研究的证据进行全面的文献检索,确定了 547 个肥胖易感性候选基因。候选基因和非候选基因的基因组区域定义为包含候选基因和非候选基因周围±10kb 的侧翼序列的基因。我们使用遗传分析人体测量特征联盟在 123564 个人中进行的 BMI 全基因组荟萃分析发现阶段公开的汇总统计数据。使用超几何检验、秩尾强度检验和基因集富集分析检验候选基因与非候选基因之间关联的富集情况。在 5% P 值分位数(P=0.35)时,富集的超几何检验没有显著意义,但在 25%分位数(P=0.015)时具有名义上的显著意义。秩尾强度和基因集富集检验对于完整的基因集和 P<10(-7)的没有 SNP 的子集都是名义上显著的,边缘显著。总的来说,观察到的富集证据表明候选基因方法仍然具有一定的价值。然而,尽管候选基因数量众多且样本量庞大,但富集程度很小。关注候选基因的研究仅略微增加了检测关联的机会,并且很可能会错过非候选基因中的许多真实效应,至少对于肥胖相关特征是如此。