Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7160, USA.
Am J Med Genet B Neuropsychiatr Genet. 2010 Jul;153B(5):1070-80. doi: 10.1002/ajmg.b.31082.
We performed association studies with 5,151 SNPs that were judged as likely candidate genetic variations conferring susceptibility to anorexia nervosa (AN) based on location under reported linkage peaks, previous results in the literature (182 candidate genes), brain expression, biological plausibility, and estrogen responsivity. We employed a case-control design that tested each SNP individually as well as haplotypes derived from these SNPs in 1,085 case individuals with AN diagnoses and 677 control individuals. We also performed separate association analyses using three increasingly restrictive case definitions for AN: all individuals with any subtype of AN (All AN: n = 1,085); individuals with AN with no binge eating behavior (AN with No Binge Eating: n = 687); and individuals with the restricting subtype of AN (Restricting AN: n = 421). After accounting for multiple comparisons, there were no statistically significant associations for any individual SNP or haplotype block with any definition of illness. These results underscore the importance of large samples to yield appropriate power to detect genotypic differences in individuals with AN and also motivate complementary approaches involving Genome-Wide Association (GWA) studies, Copy Number Variation (CNV) analyses, sequencing-based rare variant discovery assays, and pathway-based analysis in order to make up for deficiencies in traditional candidate gene approaches to AN.
我们进行了关联研究,共涉及 5151 个 SNP,这些 SNP 被认为是基于已报道的连锁峰位置、文献中的先前结果(182 个候选基因)、大脑表达、生物学合理性和雌激素反应性等因素,可能导致神经性厌食症(AN)易感性的候选遗传变异。我们采用病例对照设计,分别对 1085 名 AN 诊断病例个体和 677 名对照个体中的每个 SNP 以及这些 SNP 衍生的单倍型进行了个体测试。我们还使用三种对 AN 进行的更严格的病例定义分别进行了单独的关联分析:任何亚型的 AN 患者(所有 AN:n=1085);没有暴食行为的 AN 患者(无暴食的 AN:n=687);以及限制型 AN 患者(限制型 AN:n=421)。在考虑了多次比较后,没有任何单个 SNP 或单倍型块与任何疾病定义存在统计学上显著的关联。这些结果强调了大样本对于在 AN 患者中检测基因型差异的重要性,也促使我们采用基因组关联研究(GWA)、拷贝数变异(CNV)分析、基于测序的稀有变异发现检测以及基于途径的分析等互补方法来弥补传统候选基因方法在 AN 研究中的不足。