Ciullo Marina, Nutile Teresa, Dalmasso Cyril, Sorice Rossella, Bellenguez Céline, Colonna Vincenza, Persico Maria Graziella, Bourgain Catherine
Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Via Pietro Castellino, 111, 80131 Naples, Italy.
Diabetes. 2008 Mar;57(3):783-90. doi: 10.2337/db07-0970. Epub 2007 Dec 27.
Obesity is a complex trait with a variety of genetic susceptibility variants. Several loci linked to obesity and/or obesity-related traits have been identified, and relatively few regions have been replicated. Studying isolated populations can be a useful approach to identify rare variants that will not be detected with whole-genome association studies in large populations.
Random individuals were sampled from Campora, an isolated village of the Cilento area in South Italy, phenotyped for BMI, and genotyped using a dense microsatellite marker map. An efficient pedigree-breaking strategy was applied to perform genome-wide linkage analyses of both BMI and obesity. Significance was assessed with ad hoc simulations for the two traits and with an original local false discovery rate approach to quantitative trait linkage analysis for BMI. A genealogy-corrected association test was performed for a single nucleotide polymorphism located in one of the linkage regions. A replication study was conducted in the neighboring village of Gioi.
A new locus on chr1q24 significantly linked to BMI was identified in Campora. Linkage at the same locus is suggested with obesity. Three additional loci linked to BMI were also detected, including the locus including the INSIG2 gene region. No evidence of association between the rs7566605 variant and BMI or obesity was found. In Gioi, the linkage on chr1q24 was replicated with both BMI and obesity.
Overall, our results confirm that successful linkage studies can be accomplished in these populations both to replicate known linkages and to identify novel quantitative trait linkages.
肥胖是一种具有多种遗传易感性变异的复杂性状。已经确定了几个与肥胖和/或肥胖相关性状相关的基因座,但相对较少的区域得到重复验证。研究隔离人群可能是一种有用的方法,以识别在大规模人群的全基因组关联研究中无法检测到的罕见变异。
从意大利南部奇伦托地区的一个隔离村庄坎波拉随机抽取个体,对其体重指数进行表型分析,并使用密集的微卫星标记图谱进行基因分型。应用一种有效的打破家系策略对体重指数和肥胖进行全基因组连锁分析。通过针对这两个性状的特设模拟以及针对体重指数的定量性状连锁分析的原始局部错误发现率方法来评估显著性。对位于一个连锁区域内的单核苷酸多态性进行了系谱校正关联测试。在邻近的乔伊村进行了重复研究。
在坎波拉发现了一个与体重指数显著连锁的位于1号染色体q24区域的新基因座。提示该相同基因座与肥胖存在连锁关系。还检测到另外三个与体重指数相关的基因座,包括包含INSIG2基因区域的基因座。未发现rs7566605变异与体重指数或肥胖之间存在关联的证据。在乔伊村,1号染色体q24区域的连锁在体重指数和肥胖方面均得到重复验证。
总体而言,我们的结果证实,在这些人群中可以成功进行连锁研究,以重复已知的连锁关系并识别新的定量性状连锁关系。