ArticleAmerican journal of human genetics2024
Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression.
Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Predicting the geographical distribution of drug use disorder in Sweden from the geographical variation in social deprivation, genetic risk and urbanization.Molecular psychiatry · 2026Article
- Network analysis of the genetic relationships between twenty psychiatric and substance use disorders.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Elucidating psychosocial outcome profiles as a function of aggregate genetic risk for suicide attempt and alcohol use disorder.Translational psychiatry · 2026Article
- LT-FGRS: a unifying R-package for the estimation of family-based genetic liabilities at population-scale.bioRxiv : the preprint server for biology · 2026Article
- The typology of common psychiatric disorders as depicted by genetic maps: a study based on Swedish population-based registers.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- PEStimate: predicting offspring disease risk after polygenic embryo screening.Bioinformatics (Oxford, England) · 2026Article
- The relationship between genotype- and phenotype-based estimates of genetic liability to psychiatric disorders, in practice and in theory.American journal of human genetics · 2026Article
- Estimating disorder probability based on polygenic prediction using the BPC approach.Nature communications · 2025Article
- Article
- Profiles of Genetic Risks for Psychotic Disorders.JAMA psychiatry · 2025Article
- Exploring the implications of case selection methods for psychiatric molecular genetic studies.Molecular psychiatry · 2025Article
- The outcome of major psychiatric and substance use disorders as an index of genetic risk and genetic heterogeneity.Psychological medicine · 2025Article
- Genetic risk effects on psychiatric disorders act in sets.medRxiv : the preprint server for health sciences · 2025Article
- Deep learning-based polygenic scores enhance generalizability of psychiatric disorders prediction.medRxiv : the preprint server for health sciences · 2025Article
- Age at onset as an index of genetic heterogeneity in major psychiatric and substance use disorders.Psychological medicine · 2024Article
- Family Genetic-Risk Profiles Associated With Divorce.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
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Authors and funding
24 authors.
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Abstract
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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