ArticleNature human behaviour2021
Resource profile and user guide of the Polygenic Index Repository.
Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
86 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The predictive value of polygenic risk scores for depression in gene-environment interaction studies: a systematic review.Translational psychiatry · 2026Pooled it
- A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology.Nature human behaviour · 2024Pooled it
- Overcoming attenuation bias in regressions using polygenic indices.Nature communications · 2023Pooled it
- Genetics of Educational Attainment and Childhood Problem Behavior: Direct Genetic Effects, Cognitive Pathways, and Sex Differences.Behavior genetics · 2026Article
- Associations of ADHD genetic risk with objective and subjective economic wellbeing: evidence from Finnish population-based cohorts.Social psychiatry and psychiatric epidemiology · 2026Article
- Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.Molecular psychiatry · 2026Article
- Genomic-Relatedness Matching Expands Population Coverage, Improves Power, and Reduces Bias in Genetic Association Analyses.medRxiv : the preprint server for health sciences · 2026Article
- Causal Associations of Cerebrospinal Fluid and Circulating Metabolites With Malignant Brain Neoplasms: A Mendelian Randomization Analysis.Brain and behavior · 2026Article
- Prenatal famine exposure restricts genetic effects on birth weight with implications for metabolic disease risk.Communications medicine · 2026Article
- Clinical use of polygenic risk scores: current status, barriers and future directions.Nature reviews. Genetics · 2026Review
- Article
- Genetic associations with education have increased and are patterned by socioeconomic context: Evidence from 3 studies born 1946-1970.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Economics and Econometrics of Gene-Environment Interplay.The Review of economic studies · 2026Article
- Genetic disparities in sleep traits and human capital development: A 25-year study in Finnish population-based cohorts.Scandinavian journal of work, environment & health · 2026Article
- Polygenic Risks for Mood Disorders and Economic Well-being: Study of Finnish Cohorts.Depression and anxiety · 2026Article
- Assessing Orthogonality in Gene-Environment Interaction Studies Using Polygenic Indices.Behavior genetics · 2026Article
- Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes.European journal of psychotraumatology · 2025Article
- Family-GWAS reveals effects of environment and mating on genetic associations.medRxiv : the preprint server for health sciences · 2025Article
- An Updated Polygenic Index Repository: Expanded Phenotypes, New Cohorts, and Improved Causal Inference.Research square · 2025Article
- Genotypic and socioeconomic risks for depressive symptoms in two U.S. cohorts spanning early to older adulthood.Journal of psychopathology and clinical science · 2025Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
43 authors.
Funding
Abstract
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs' prediction accuracies, we constructed them using genome-wide association studies-some not previously published-from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the 'additive SNP factor'. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.