DOI: 10.1002/alz.078928 ISSN: 1552-5260

A Genome‐Wide Search for Pleiotropy in More Than 100,000 Harmonized Longitudinal Cognitive Domain Scores

Moonil Kang, Ting Fang Alvin Ang, Sherral A. Devine, Richard Sherva, Shubhabrata Mukherjee, Emily H. Trittschuh, Laura E Gibbons, Phoebe Scollard, Michael L. Lee, Seo‐Eun Choi, Brandon S Klinedinst, Connie Nakano, Logan C Dumitrescu, Timothy J. Hohman, Michael L. Cuccaro, Andrew J. Saykin, Walter A. Kukull, David A. A Bennett, Li‐San Wang, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak‐Vance, Gerald D. Schellenberg, Paul K Crane, Rhoda Au, Kathryn L. Lunetta, Jesse B. Mez, Lindsay A. Farrer
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Geriatrics and Gerontology
  • Neurology (clinical)
  • Developmental Neuroscience
  • Health Policy
  • Epidemiology



More than 75 common variant loci account for only a portion of the heritability for Alzheimer’s disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD‐related endophenotypes.


We conducted genome‐wide scans for cognitive domain performance using harmonized and co‐calibrated scores derived by confirmatory factor analyses for executive function, language, and memory. We analyzed 103,796 longitudinal observations from 23,066 members of community‐based (FHS, ACT, ROSMAP) and clinic‐based (ADRCs, ADNI) cohorts using generalized linear mixed models including terms for SNP, age, SNP×age interaction, sex, education, and five ancestry principal components. Significance was determined based on a joint test of the SNP’s main effect and interaction with age. Results across datasets were combined using inverse‐variance meta‐analysis. Genome‐wide tests of pleiotropy for each domain pair as the outcome were performed using PLACO software.


Individual domain and pleiotropy analyses revealed genome‐wide significant (GWS) associations with five established loci for AD and AD‐related disorders (BIN1, CR1, GRN, MS4A6A, APOE) and eight novel loci. ULK2 was associated with executive function in the community‐based cohorts (rs157405, P = 2.19×10−9). GWS associations for language were identified with CDK14 in the clinic‐based cohorts (rs705353, P = 1.73×10−8) and LINC02712 in the total sample (rs145012974, P = 3.66×10−8). GRN (rs5848, P = 4.21×10−8) and PURG (rs117523305, P = 1.73×10−8) were associated with memory in the total and community‐based cohorts, respectively. GWS pleiotropy was observed for language and memory with LOC107984373 (rs73005629, P = 3.12×10−8) in the clinic‐based cohorts, and with NCALD (rs56162098, P = 1.23×10−9) and PTPRD (rs145989094, P = 8.34×10−9) in the community‐based cohorts. GWS pleiotropy was also found for executive function and memory with OSGIN1 (rs12447050, P = 4.09×10−8) and PTPRD (rs145989094, P = 3.85×10−8) in the community‐based cohorts. Functional studies have previously linked AD to ULK2, NCALD, and PTPRD.


Our results provide some insight into genes associated with domain‐specific cognitive impairment and AD, as well as a conduit toward a syndrome‐specific precision medicine approach to AD. Increasing the size of datasets by applying the confirmatory factor analysis approach to derive harmonized measures of cognitive performance would likely enhance the discovery of additional genetic factors of cognitive decline leading to AD and related dementias.

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