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. 2025 Aug 1;148(8):2714-2729.
doi: 10.1093/brain/awaf106.

Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer's disease

Jared M Phillips  1   2 Logan C Dumitrescu  1   3 Derek B Archer  1   3 Alexandra N Regelson  1 Shubhabrata Mukherjee  4 Michael L Lee  4 Seo-Eun Choi  4 Phoebe Scollard  4 Emily H Trittschuh  5   6 Walter A Kukull  7 Sarah Biber  7 Jesse Mez  8 Emily R Mahoney  1 Michelle Clifton  1 Julia B Libby  1 Skylar Walters  1 William S Bush  9 Corinne D Engelman  10   11 Qiongshi Lu  11   12   13 David W Fardo  14   15 Keith F Widaman  16 Rachel F Buckley  17   18   19 Elizabeth C Mormino  20 R Elizabeth Sanders  4 Lindsay R Clark  11   21 Katherine A Gifford  1 Badri Vardarajan  22   23   24 Michael L Cuccaro  25   26 Margaret A Pericak-Vance  25 Lindsay A Farrer  8   27   28 Li-San Wang  29 Gerard D Schellenberg  29 Jonathan L Haines  9 Angela L Jefferson  1 Sterling C Johnson  20 Marilyn S Albert  30 C Dirk Keene  31 Andrew J Saykin  32   33   34 Shannon L Risacher  32   33   34 Eric B Larson  4   35 Reisa A Sperling  17   18 Richard Mayeux  22   23 Alison M Goate  36   37 Alan E Renton  36   37 Edoardo Marcora  36   37 Brian Fulton-Howard  36   37 Tulsi Patel  36   37 David A Bennett  38 Julie A Schneider  38 Lisa L Barnes  38 Carlos Cruchaga  39 Jason Hassenstab  40 Michael E Belloy  40 Shea J Andrews  41 Susan M Resnick  42 Murat Bilgel  42 Yang An  42 Lori L Beason-Held  42 Keenan A Walker  42 Michael R Duggan  42 Brandon S Klinedinst  4 Paul K Crane  4 Timothy J Hohman  1   2   3
Affiliations

Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer's disease

Jared M Phillips et al. Brain. .

Abstract

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 better-than-expected cognitive performance while vastly expanding sample size and statistical power. Leveraging 20 513 participants from eight well-characterized cohort studies of ageing, we determined the effects of genetic variants on resilience metrics using mixed-effects regressions. The outcome of interest was residual cognitive resilience, quantified from residuals in three cognitive domains (memory, executive function and language) and built within two frameworks: 'silver' models, which obviate the requirement for neuropathological data (n = 17 241), and 'gold' models, which include post-mortem neuropathological assessments (n = 3272). We then performed cross-ancestry genome-wide association studies (European ancestry, n = 18 269; African ancestry, n = 2244), gene- and pathway-based tests and genetic correlation analyses. All analyses were conducted across all participants and repeated when restricted to those with unimpaired cognition at baseline. Despite different modelling approaches, the silver and gold phenotypes were highly correlated (R = 0.77-0.88) and displayed comparable performance in quantifying better- or worse-than-expected cognition, enabling silver-gold meta-analyses. Genetic correlation analyses highlighted associations of resilience with multiple neuropsychiatric and cardiovascular traits [false discovery rate-corrected P (PFDR) values < 5.0 × 10-2]. In pathway-level tests, we observed three significant associations with resilience: metabolism of amino acids and derivatives (PFDR = 4.1 × 10-2), negative regulation of transforming growth factor beta (TGF-β) production (PFDR = 1.9 × 10-2) and severe acute respiratory syndrome (PFDR = 3.9 × 10-4). Finally, in single-variant analyses, we identified a locus on chromosome 17 approaching genome-wide significance among cognitively unimpaired participants (index single nucleotide polymorphism: rs757022, minor allele frequency = 0.18, β=0.08, P = 1.1 × 10-7). The top variant at this locus (rs757022) was significantly associated with expression of numerous ATP-binding cassette genes in brain. Overall, through validating a novel modelling approach, we demonstrate the utility of silver models of resilience to increase statistical power and participant diversity.

Keywords: cognitive reserve; dementia; functional genomics; genome-wide association study; neurodegeneration.

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Conflict of interest statement

T.J.H. sits on the scientific advisory board for Vivid Genomics. The remaining authors report no competing interests.

References

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    1. Dumitrescu L, Mahoney ER, Mukherjee S, et al. Genetic variants and functional pathways associated with resilience to Alzheimer’s disease. Brain. 2020;143:2561–2575. - PMC - PubMed
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    1. Hohman TJ, Dumitrescu L, Cox NJ, Jefferson AL; Alzheimer’s Neuroimaging Initiative . Genetic resilience to amyloid related cognitive decline. Brain Imaging Behav. 2017;11:401–409. - PMC - PubMed
    1. Hohman TJ, McLaren DG, Mormino EC, Gifford KA, Libon DJ, Jefferson AL. Asymptomatic Alzheimer disease: Defining resilience. Neurology. 2016;87:2443–2450. - PMC - PubMed

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