Wu Yuchang, Sun Zhongxuan, Zheng Qinwen, Miao Jiacheng, Dorn Stephen, Mukherjee Shubhabrata, Fletcher Jason M, Lu Qiongshi
Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Department of Medicine, University of Washington, Seattle, WA, USA.
Nat Genet. 2024 Dec;56(12):2696-2703. doi: 10.1038/s41588-024-01963-9. Epub 2024 Nov 4.
Almost every recent Alzheimer's disease (AD) genome-wide association study (GWAS) has performed meta-analysis to combine studies with clinical diagnosis of AD with studies that use proxy phenotypes based on parental disease history. Here, we report major limitations in current GWAS-by-proxy (GWAX) practices due to uncorrected survival bias and nonrandom participation in parental illness surveys, which cause substantial discrepancies between AD GWAS and GWAX results. We demonstrate that the current AD GWAX provide highly misleading genetic correlations between AD risk and higher education, which subsequently affects a variety of genetic epidemiological applications involving AD and cognition. Our study sheds light on potential issues in the design and analysis of middle-aged biobank cohorts and underscores the need for caution when interpreting genetic association results based on proxy-reported parental disease history.
几乎每一项近期的阿尔茨海默病(AD)全基因组关联研究(GWAS)都进行了荟萃分析,以将AD临床诊断研究与基于父母疾病史使用替代表型的研究相结合。在此,我们报告了当前通过代理进行的GWAS(GWAX)实践中的主要局限性,这些局限性源于未校正的生存偏差以及父母疾病调查中的非随机参与,这导致AD GWAS和GWAX结果之间存在显著差异。我们证明,当前的AD GWAX在AD风险与高等教育之间提供了极具误导性的遗传相关性,这随后影响了涉及AD和认知的各种遗传流行病学应用。我们的研究揭示了中年生物样本库队列设计和分析中的潜在问题,并强调在解释基于代理报告的父母疾病史的遗传关联结果时需要谨慎。