Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer’s disease

Manish D Paranjpe, Mark Chaffin, Sohail Zahid, Scott Ritchie, Jerome I Rotter, Stephen S Rich, Robert Gerszten, Xiuqing Guo, Susan Heckbert, Russ Tracy, John Danesh, Eric S Lander, Michael Inouye, Sekar Kathiresan, Adam S Butterworth and Amit V Khera

PLOS Genetics, 2022, vol. 18, issue 9, 1-20

Abstract: For Alzheimer’s disease–a leading cause of dementia and global morbidity–improved identification of presymptomatic high-risk individuals and identification of new circulating biomarkers are key public health needs. Here, we tested the hypothesis that a polygenic predictor of risk for Alzheimer’s disease would identify a subset of the population with increased risk of clinically diagnosed dementia, subclinical neurocognitive dysfunction, and a differing circulating proteomic profile. Using summary association statistics from a recent genome-wide association study, we first developed a polygenic predictor of Alzheimer’s disease comprised of 7.1 million common DNA variants. We noted a 7.3-fold (95% CI 4.8 to 11.0; p

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1010294

DOI: 10.1371/journal.pgen.1010294

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