Sanghun Lee, Julian Hecker, Badri N. Vardarajan, Rachel S. Kelly, Nicole Prince, Kristina Mullin, Sharon M. Lutz, Georg Hahn, Jessica Lasky-Su, Richard P. Mayeux, Rudolph E. Tanzi, Christoph Lange, Dmitry Prokopenko
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引用次数: 0
Abstract
In a sample of 89 Dominican families from the National Institute on Aging's Alzheimer's Disease Sequencing Project (ADSP), where at least one family member had a confirmed Alzheimer's disease (AD) diagnosis, we conducted an exploratory recessive whole-genome sequencing (WGS) analysis using family-based association testing (FBAT-GEE). This method tests jointly for affection status and age-at-onset under a recessive inheritance mode. Our analysis identified a genome-wide significant association for rs847697 in the PDK2 gene on chromosome 17, near the MAPT gene previously implicated in AD through linkage studies. Additionally, we detected four suggestive loci (p-value < 1 × 10−6). Given the unexpected strength of these associations in a modest sample size, we rigorously reviewed data quality, ruling out technical artifacts. The PDK2 association was driven by a small subset of families, aligning with recessive inheritance expectations. However, it could not be replicated in other AD datasets including Estudio Familiar de Influencia Genetica en Alzheimer (EFIGA), the National Institute of Mental Health (NIMH), and European Americans from NIA ADSP, suggesting a possible population-specific or ancestry-related effect. This study highlights the effectiveness of the FBAT approach in detecting unique genetic associations in smaller, isolated populations—findings that might be diluted in larger biobank studies where these populations are underrepresented.
期刊介绍:
Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations.
Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.