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Measuring heritable contributions to Alzheimer's disease: polygenic risk score analysis with twins
Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.;Jonkoping Univ, Sch Hlth & Welf 6, Aging Res Network Jonkoping ARNJ, Jonkoping, Sweden..ORCID iD: 0000-0003-3605-7829
Cardiff Univ, Inst Psychol Med & Clin Neurosci, UK Dementia Res Inst Cardiff, Cardiff, Wales..ORCID iD: 0000-0003-1784-5483
Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.;Univ Southern Calif, Ctr Econ & Social Res, Los Angeles, CA 90007 USA..ORCID iD: 0000-0002-1071-9970
UCL Queen Sq Inst Neurol, Dept Neurodegenerat Dis, Queen Sq, London WC1N 3BG, England.;UCL, UCL Inst Neurol, UK Dementia Res Inst UCL, London, England.;UCL, UCL Inst Neurol, Dept Neurodegenerat Dis, London, England.;UCL Queen Sq Inst Neurol, Reta Lila Weston Inst, 1 Wakefield St, London WC1N 1PJ, England.;UCL, UCL Movement Disorders Ctr, London, England.;Hong Kong Univ Sci & Technol, Inst Adv Study, Hong Kong, Peoples R China..ORCID iD: 0000-0002-3122-0423
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2022 (English)In: Brain Communications, E-ISSN 2632-1297, Vol. 4, no 1, article id fcab308Article in journal (Refereed) Published
Abstract [en]

The heritability of Alzheimer's disease estimated from twin studies is greater than the heritability derived from genome-based studies, for reasons that remain unclear. We apply both approaches to the same twin sample, considering both Alzheimer's disease polygenic risk scores and heritability from twin models, to provide insight into the role of measured genetic variants and to quantify uncaptured genetic risk. A population-based heritability and polygenic association study of Alzheimer's disease was conducted between 1986 and 2016 and is the first study to incorporate polygenic risk scores into biometrical twin models of Alzheimer's disease. The sample included 1586 twins drawn from the Swedish Twin Registry which were nested within 1137 twin pairs (449 complete pairs and 688 incomplete pairs) with clinically based diagnoses and registry follow-up (M-age = 85.28, SD = 7.02; 44% male; 431 cases and 1155 controls). We report contributions of polygenic risk scores at P < 1 x 10(-5), considering a full polygenic risk score (PRS), PRS without the APOE region (PRS.no.APOE) and PRS.no.APOE plus directly measured APOE alleles. Biometric twin models estimated the contribution of environmental influences and measured (PRS) and unmeasured genes to Alzheimer's disease risk. The full PRS and PRS.no.APOE contributed 10.1 and 2.4% to Alzheimer's disease risk, respectively. When APOE e4 alleles were added to the model with the PRS.no.APOE, the total contribution was 11.4% to Alzheimer's disease risk, where APOE e4 explained 9.3% and PRS.no.APOE dropped from 2.4 to 2.1%. The total genetic contribution to Alzheimer's disease risk, measured and unmeasured, was 71% while environmental influences unique to each twin accounted for 29% of the risk. The APOE region accounts for much of the measurable genetic contribution to Alzheimer's disease, with a smaller contribution from other measured polygenic influences. Importantly, substantial background genetic influences remain to be understood. Karlsson et al. report that measured polygenic scores from genome-based studies, including an outsized role for APOE, explain only a fraction of the heritability indicated by twin models of Alzheimer's disease, leaving most genetic risk for Alzheimer's disease unexplained. Sensitive designs are needed to capture all the genetic influences.

Place, publisher, year, edition, pages
Oxford University Press, 2022. Vol. 4, no 1, article id fcab308
Keywords [en]
polygenic risk scores (PRSs), APOE, heritability, twins, Alzheimer's disease
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:hj:diva-57230DOI: 10.1093/braincomms/fcab308ISI: 000804710200011PubMedID: 35169705Local ID: HOA;intsam;818360OAI: oai:DiVA.org:hj-57230DiVA, id: diva2:1670991
Funder
NIH (National Institute of Health)Available from: 2022-06-16 Created: 2022-06-16 Last updated: 2022-10-31Bibliographically approved

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Karlsson, Ida K.

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Karlsson, Ida K.Escott-Price, ValentinaGatz, MargaretHardy, JohnShoai, Maryam
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