Sex differences in the genetic architecture of cognitive resilience to Alzheimer’s disease

Author:

Eissman Jaclyn M12ORCID,Dumitrescu Logan12ORCID,Mahoney Emily R12,Smith Alexandra N12,Mukherjee Shubhabrata3,Lee Michael L3ORCID,Scollard Phoebe3,Choi Seo Eun3,Bush William S4ORCID,Engelman Corinne D5,Lu Qiongshi67ORCID,Fardo David W89,Trittschuh Emily H1011,Mez Jesse12,Kaczorowski Catherine C13,Hernandez Saucedo Hector14,Widaman Keith F15,Buckley Rachel F161718ORCID,Properzi Michael J16,Mormino Elizabeth C19,Yang Hyun Sik1617,Harrison Theresa M20,Hedden Trey21,Nho Kwangsik2223,Andrews Shea J21ORCID,Tommet Douglas24,Hadad Niran13,Sanders R Elizabeth3,Ruderfer Douglas M2,Gifford Katherine A1,Zhong Xiaoyuan67,Raghavan Neha S252627,Vardarajan Badri N252627,Pericak-Vance Margaret A28,Farrer Lindsay A122930,Wang Li San31,Cruchaga Carlos32,Schellenberg Gerard D31,Cox Nancy J2,Haines Jonathan L4,Keene C Dirk33,Saykin Andrew J34,Larson Eric B335,Sperling Reisa A16,Mayeux Richard252627,Cuccaro Michael L28,Bennett David A36ORCID,Schneider Julie A36,Crane Paul K3,Jefferson Angela L1,Hohman Timothy J12, , ,

Affiliation:

1. Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center , Nashville, TN , USA

2. Vanderbilt Genetics Institute, Vanderbilt University Medical Center , Nashville, TN , USA

3. Department of Medicine, University of Washington , Seattle, WA , USA

4. Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University , Cleveland, OH , USA

5. Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison , Madison, WI , USA

6. Department of Statistics, University of Wisconsin-Madison , Madison, WI , USA

7. Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison , Madison, WI , USA

8. Department of Biostatistics, College of Public Health, University of Kentucky , Lexington, KY , USA

9. Sanders-Brown Center on Aging, University of Kentucky , Lexington, KY , USA

10. Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine , Seattle, WA , USA

11. VA Puget Sound Health Care System, GRECC , Seattle, WA , USA

12. Department of Neurology, Boston University School of Medicine , Boston, MA , USA

13. The Jackson Laboratory , Bar Harbor, ME , USA

14. UC Davis Alzheimer's Disease Research Center, Department of Neurology, University of California Davis Medical Center , Sacramento, CA , USA

15. University of California at Riverside , Riverside, CA , USA

16. Department of Neurology, Massachusetts General Hospital/Harvard Medical School , Boston, MA , USA

17. Center for Alzheimer's Research and Treatment, Department of Neurology, Brigham and Women’s Hospital/Harvard Medical School , Boston, MA , USA

18. Melbourne School of Psychological Sciences, University of Melbourne , Melbourne , Australia

19. Department of Neurology and Neurological Sciences, Stanford University , Stanford, CA , USA

20. Helen Wills Neuroscience Institute, University of California Berkeley , Berkeley, CA , USA

21. Icahn School of Medicine at Mount Sinai , New York City, NY , USA

22. Department of Radiology and Imaging Sciences, Indiana Alzheimer Disease Center, Indiana University School of Medicine , Indianapolis, IN , USA

23. Center for Computational Biology and Bioinformatics, Indiana University School of Medicine , Indianapolis, IN , USA

24. Department of Psychiatry and Human Behavior, Brown University School of Medicine , Providence, RI , USA

25. Department of Neurology, Columbia University , New York, NY , USA

26. The Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University , New York, NY , USA

27. The Institute for Genomic Medicine, Columbia University Medical Center and The New York Presbyterian Hospital , New York, NY , USA

28. John P. Hussman Institute for Human Genomics, University of Miami School of Medicine , Miami, FL , USA

29. Department of Biostatistics, Boston University School of Public Health , Boston, MA , USA

30. Department of Medicine (Biomedical Genetics), Boston University School of Medicine , Boston, MA , USA

31. Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine , Philadelphia, PA , USA

32. Department of Psychiatry, Washington University School of Medicine , St. Louis, MO , USA

33. Department of Pathology, University of Washington , Seattle, WA , USA

34. Department of Radiology and Imaging Sciences, Indiana University School of Medicine , Indianapolis, IN , USA

35. Kaiser Permanente Washington Health Research Institute , Seattle, WA , USA

36. Rush Alzheimer's Disease Center, Rush University Medical Center , Chicago, IL , USA

Abstract

Abstract Approximately 30% of elderly adults are cognitively unimpaired at time of death despite the presence of Alzheimer’s disease neuropathology at autopsy. Studying individuals who are resilient to the cognitive consequences of Alzheimer’s disease neuropathology may uncover novel therapeutic targets to treat Alzheimer’s disease. It is well established that there are sex differences in response to Alzheimer’s disease pathology, and growing evidence suggests that genetic factors may contribute to these differences. Taken together, we sought to elucidate sex-specific genetic drivers of resilience. We extended our recent large scale genomic analysis of resilience in which we harmonized cognitive data across four cohorts of cognitive ageing, in vivo amyloid PET across two cohorts, and autopsy measures of amyloid neuritic plaque burden across two cohorts. These data were leveraged to build robust, continuous resilience phenotypes. With these phenotypes, we performed sex-stratified [n (males) = 2093, n (females) = 2931] and sex-interaction [n (both sexes) = 5024] genome-wide association studies (GWAS), gene and pathway-based tests, and genetic correlation analyses to clarify the variants, genes and molecular pathways that relate to resilience in a sex-specific manner. Estimated among cognitively normal individuals of both sexes, resilience was 20–25% heritable, and when estimated in either sex among cognitively normal individuals, resilience was 15–44% heritable. In our GWAS, we identified a female-specific locus on chromosome 10 [rs827389, β (females) = 0.08, P (females) = 5.76 × 10−09, β (males) = −0.01, P(males) = 0.70, β (interaction) = 0.09, P (interaction) = 1.01 × 10−04] in which the minor allele was associated with higher resilience scores among females. This locus is located within chromatin loops that interact with promoters of genes involved in RNA processing, including GATA3. Finally, our genetic correlation analyses revealed shared genetic architecture between resilience phenotypes and other complex traits, including a female-specific association with frontotemporal dementia and male-specific associations with heart rate variability traits. We also observed opposing associations between sexes for multiple sclerosis, such that more resilient females had a lower genetic susceptibility to multiple sclerosis, and more resilient males had a higher genetic susceptibility to multiple sclerosis. Overall, we identified sex differences in the genetic architecture of resilience, identified a female-specific resilience locus and highlighted numerous sex-specific molecular pathways that may underly resilience to Alzheimer’s disease pathology. This study illustrates the need to conduct sex-aware genomic analyses to identify novel targets that are unidentified in sex-agnostic models. Our findings support the theory that the most successful treatment for an individual with Alzheimer’s disease may be personalized based on their biological sex and genetic context.

Funder

CurePSP Foundation

Mayo Foundation

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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