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Dybdahl Krebs, M.* ; Georgii Hellberg, K.L.* ; Lundberg, M.* ; Appadurai, V.* ; Ohlsson, H.* ; Pedersen, E.S.L.* ; Steinbach, J.* ; Matthews, J.* ; Border, R.* ; LaBianca, S.* ; Calle, X.* ; Meijsen, J.J.* ; Ingason, A.* ; Buil, A.* ; Vilhjálmsson, B.J.* ; Flint, J.* ; Bacanu, S.A.* ; Cai, N. ; Dahl, A.* ; Zaitlen, N.* ; Werge, T.* ; Kendler, K.S.* ; Schork, A.J.*

Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression.

Am. J. Hum. Genet., DOI: 10.1016/j.ajhg.2024.09.009 (2024)

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Free by publisher: Publ. Version/Full Text online available 05/2025

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Large biobank samples provide an opportunity to integrate broad phenotyping, familial records, and molecular genetics data to study complex traits and diseases. We introduce Pearson-Aitken Family Genetic Risk Scores (PA-FGRS), a method for estimating disease liability from patterns of diagnoses in extended, age-censored genealogical records. We then apply the method to study a paradigmatic complex disorder, major depressive disorder (MDD), using the iPSYCH2015 case-cohort study of 30,949 MDD cases, 39,655 random population controls, and more than 2 million relatives. We show that combining PA-FGRS liabilities estimated from family records with molecular genotypes of probands improves three lines of inquiry. Incorporating PA-FGRS liabilities improves classification of MDD over and above polygenic scores, identifies robust genetic contributions to clinical heterogeneity in MDD associated with comorbidity, recurrence, and severity and can improve the power of genome-wide association studies. Our method is flexible and easy to use, and our study approaches are generalizable to other datasets and other complex traits and diseases.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Depression ; Family Genetic Risk Scores ; Genealogy ; Genetic Liability ; Genetic Risk Profiles ; Pedigree

ISSN (print) / ISBN 0002-9297

e-ISSN 1537-6605

Journal American Journal of Human Genetics, The

Publisher Elsevier

Publishing Place New York, NY

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Helmholtz Pioneer Campus (HPC)