Cruchaga Carlos, Ebbert Mark T W, Kauwe John S K
Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri ; The Hope Center Program on Protein Aggregation and Neurodegeneration (HPAN), Washington University School of Medicine, St. Louis, Missouri.
Department of Biology, Brigham Young University, Provo, Utah ; The ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah.
Curr Genet Med Rep. 2014 Mar 1;2(1):23-29. doi: 10.1007/s40142-014-0031-0.
The use of cerebrospinal fluid levels of Aβ42 and pTau181 as endophenotypes for genetic studies of Alzheimer's disease (AD) has led to successful identification of both rare and common AD risk variants. In addition, this approach has provided meaningful hypotheses for the biological mechanisms by which known AD risk variants modulate the disease process. In this article we discuss these successes and outline challenges to effective and continued applications of this approach. We contrast the statistical power of this approach with traditional case-control designs and discuss solutions to address challenges in quality control and data analysis for these phenotypes. Finally, we discuss the potential for the use of this approach with larger samples as well as the incorporation of next generation sequencing and for future work with other endophenotypes for AD.
将脑脊液中Aβ42和pTau181水平用作阿尔茨海默病(AD)基因研究的内表型,已成功鉴定出罕见和常见的AD风险变异。此外,这种方法还为已知AD风险变异调节疾病进程的生物学机制提供了有意义的假设。在本文中,我们讨论了这些成功之处,并概述了有效且持续应用该方法所面临的挑战。我们将这种方法的统计效力与传统病例对照设计进行了对比,并讨论了应对这些表型在质量控制和数据分析方面挑战的解决方案。最后,我们讨论了使用更大样本以及纳入下一代测序来应用这种方法的潜力,以及未来针对AD的其他内表型开展研究的可能性。