ArticleScientific reports2016
Accuracy of heritability estimations in presence of hidden population stratification.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A novel simulation tool for low-coverage whole-genome sequencing using multivariate Gaussian mixture models.BMC bioinformatics · 2026Article
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- Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation.Sociological methodology · 2024Article
- Heritability estimation of subcortical volumes in a multi-ethnic multi-site cohort study.bioRxiv : the preprint server for biology · 2024Article
- Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology.The Behavioral and brain sciences · 2022Article
- Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank.Genes · 2021Article
- Exploring the role of genetic confounding in the association between maternal and offspring body mass index: evidence from three birth cohorts.International journal of epidemiology · 2020Article
- Missing heritability of complex diseases: case solved?Human genetics · 2020Review
- Is population structure in the genetic biobank era irrelevant, a challenge, or an opportunity?Human genetics · 2020Review
- Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis.Nature communications · 2019Article
- Detecting the dominance component of heritability in isolated and outbred human populations.Scientific reports · 2018Article
- Gene regulation underlies environmental adaptation in house mice.Genome research · 2018Article
- Population Stratification in Genetic Association Studies.Current protocols in human genetics · 2017Review
- Article
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Authors and funding
6 authors.
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Abstract
The heritability of a trait is the proportion of its variance explained by genetic factors; it has historically been estimated using familial data. However, new methods have appeared for estimating heritabilities using genomewide data from unrelated individuals. A drawback of this strategy is that population stratification can bias the estimates. Indeed, an environmental factor associated with the phenotype may differ among population subgroups. This factor being associated both with the phenotype and the genetic variation in the population would be a confounder. A common solution consists in adjusting on the first Principal Components (PCs) of the genomic data. We study this procedure on simulated data and on 6000 individuals from the Three-City Study. We analyse the geographical coordinates of the birth cities, which are not genetically determined, but the heritability of which should be overestimated due to population stratification. We also analyse various anthropometric traits. The procedure fails to correct the bias in geographical coordinates heritability estimates. The heritability estimates of the anthropometric traits are affected by the inclusion of the first PC, but not by the following PCs, contrarily to geographical coordinates. We recommend to be cautious with heritability estimates obtained from a large population.
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