Sassi Celeste, Nalls Michael A, Ridge Perry G, Gibbs Jesse R, Ding Jinhui, Lupton Michelle K, Troakes Claire, Lunnon Katie, Al-Sarraj Safa, Brown Kristelle S, Medway Christopher, Clement Naomi, Lord Jenny, Turton James, Bras Jose, Almeida Maria R, Holstege Henne, Louwersheimer Eva, van der Flier Wiesje M, Scheltens Philip, Van Swieten John C, Santana Isabel, Oliveira Catarina, Morgan Kevin, Powell John F, Kauwe John S, Cruchaga Carlos, Goate Alison M, Singleton Andrew B, Guerreiro Rita, Hardy John
Reta Lila, Weston Research Laboratories, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA; Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charite' Universitätmedizin, Berlin, Germany; German Center for Neurodegenerative Diseases (DZNE), Berlin site, Germany.
Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Neurobiol Aging. 2016 Oct;46:235.e1-9. doi: 10.1016/j.neurobiolaging.2016.04.004. Epub 2016 Apr 20.
Genome-wide association studies (GWASs) have been effective approaches to dissect common genetic variability underlying complex diseases in a systematic and unbiased way. Recently, GWASs have led to the discovery of over 20 susceptibility loci for Alzheimer's disease (AD). Despite the evidence showing the contribution of these loci to AD pathogenesis, their genetic architecture has not been extensively investigated, leaving the possibility that low frequency and rare coding variants may also occur and contribute to the risk of disease. We have used exome and genome sequencing data to analyze the single independent and joint effect of rare and low-frequency protein coding variants in 9 AD GWAS loci with the strongest effect sizes after APOE (BIN1, CLU, CR1, PICALM, MS4A6A, ABCA7, EPHA1, CD33, and CD2AP) in a cohort of 332 sporadic AD cases and 676 elderly controls of British and North-American ancestry. We identified coding variability in ABCA7 as contributing to AD risk. This locus harbors a low-frequency coding variant (p.G215S, rs72973581, minor allele frequency = 4.3%) conferring a modest but statistically significant protection against AD (p-value = 0.024, odds ratio = 0.57, 95% confidence interval = 0.41-0.80). Notably, our results are not driven by an enrichment of loss of function variants in ABCA7, recently reported as main pathogenic factor underlying AD risk at this locus. In summary, our study confirms the role of ABCA7 in AD and provides new insights that should address functional studies.
全基因组关联研究(GWAS)是系统且无偏地剖析复杂疾病潜在常见遗传变异的有效方法。最近,GWAS已导致发现了20多个阿尔茨海默病(AD)的易感基因座。尽管有证据表明这些基因座对AD发病机制有贡献,但其遗传结构尚未得到广泛研究,这使得低频和罕见编码变异也可能出现并导致疾病风险的可能性存在。我们使用外显子组和基因组测序数据,分析了332例散发性AD病例和676例具有英国和北美血统的老年对照组成的队列中,9个AD GWAS基因座(在APOE之后效应大小最强,包括BIN1、CLU、CR1、PICALM、MS4A6A、ABCA7、EPHA1、CD33和CD2AP)中罕见和低频蛋白质编码变异的单一独立效应和联合效应。我们确定ABCA7中的编码变异会导致AD风险。该基因座存在一个低频编码变异(p.G215S,rs72973581,次要等位基因频率 = 4.3%),对AD具有适度但具有统计学意义的保护作用(p值 = 0.024,优势比 = 0.57,95%置信区间 = 0.41 - 0.80)。值得注意的是,我们的结果并非由ABCA7中功能丧失变异的富集驱动,最近有报道称该变异是该基因座AD风险的主要致病因素。总之,我们的研究证实了ABCA7在AD中的作用,并提供了应有助于功能研究的新见解。