rs10116741 - TRPM3 - RPL35AP21

Magnitude 2.2 · 1 study on file

Reported associations

• Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer's disease. - Brain : a journal of neurology (2025) · Phillips JM, Dumitrescu LC, Archer DB, Regelson AN, Mukherjee S, Lee ML, Choi SE, Scollard P, Trittschuh EH, Kukull WA, Biber S, Mez J, Mahoney ER, Clifton M, Libby JB, Walters S, Bush WS, Engelman CD, Lu Q, Fardo DW, Widaman KF, Buckley RF, Mormino EC, Sanders RE, Clark LR, Gifford KA, Vardarajan B, Cuccaro ML, Pericak-Vance MA, Farrer LA, Wang LS, Schellenberg GD, Haines JL, Jefferson AL, Johnson SC, Albert MS, Keene CD, Saykin AJ, Risacher SL, Larson EB, Sperling RA, Mayeux R, Goate AM, Renton AE, Marcora E, Fulton-Howard B, Patel T, Bennett DA, Schneider JA, Barnes LL, Cruchaga C, Hassenstab J, Belloy ME, Andrews SJ, Resnick SM, Bilgel M, An Y, Beason-Held LL, Walker KA, Duggan MR, Klinedinst BS, Crane PK, Hohman TJ · PubMed 40111762

  Up to 30% of older adults meet pathological criteria for a diagnosis of Alzheimer's disease at autopsy yet never show signs of cognitive impairment. Recent work has highlighted genetic drivers of this resilience, or better-than-expected cognitive performance given a level of neuropathology, that allow the aged brain to protect itself from the downstream consequences of amyloid and tau deposition. However, models of resilience have been constrained by reliance on measures of neuropathology, substantially limiting the number of participants available for analysis. We sought to determine whether new approaches using APOE allele status, age and other demographic variables as a proxy for neuropathology could still effectively quantify resilience and uncover novel genetic drivers associated with

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