ReviewPLoS genetics2018
Population structure in genetic studies: Confounding factors and mixed models.
Review in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 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
155 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A comprehensive compilation of data on the association between XRCC3 polymorphisms and thyroid cancer susceptibility.BMC endocrine disorders · 2025Pooled it
- Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits.Nature genetics · 2022Pooled it
- A Family-Based Genome Wide Association Study of Externalizing Behaviors.Behavior genetics · 2020Pooled it
- An IRAT109 NAM population: Genetic characterization and mapping utility for trait dissection in japonica rice (Oryza sativa L.).The plant genome · 2026Article
- Genetic Relationships, Whole-Fruit Oil Variations, and Quantitative Trait Diversity in EliteBiology · 2026Article
- Review
- Scalable medium-density genotyping platforms for cultivar identification, pedigree authentication, marker-assisted and genomic selection, and other applications in strawberry.G3 (Bethesda, Md.) · 2026Article
- A Cis-Regulatory Duplication in a Hox Hotspot Implicated in Mimetic Convergence in the Bumble Bee Bombus flavifrons.Molecular ecology · 2026Article
- Genotype-Phenotype-Environment Associations and Potential Local Adaptation Signals in the Mesquite Lizard Along the Eastern Trans-Mexican Volcanic Belt.Molecular ecology · 2026Article
- Extending genome-wide association studies to admixed cohorts with high degrees of relatedness.Nature genetics · 2026Article
- Article
- A robust, sensitive phylogenetic method enables gene-level metagenomic analyses.bioRxiv : the preprint server for biology · 2026Article
- Genomic reconstruction of the Pakistani Roma reveals dual South Asian ancestry, medieval bottlenecks, and the early dispersal routes of the Romani people.Human genomics · 2026Article
- Within-sibling attenuation of polygenic risk score accuracy: investigating the effects of principal component analysis, LD score regression, and mixed model association in the UK Biobank.Human genetics · 2026Article
- Genetically Informed Research Designs in Perinatal Pharmacoepidemiology: A Methodological Overview.Drug safety · 2026Review
- Genetic diversity of Camelina sativa: implications for sustainable crop improvement through Genotyping-by-Sequencing (GBS).BMC plant biology · 2026Article
- Article
- A decade of discovery: Leveraging genomic data in the ABCD study to illuminate adolescent neurodevelopment.Developmental cognitive neuroscience · 2026Review
- Discovery and characterization of gene-by-environment and epistatic genetic effects in a vertebrate model.Cell genomics · 2026Article
- A versatile multi-components mixed model for bacterial-Genome Wide association studies.Nature communications · 2026Article
95 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
3 authors.
Funding
Abstract
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the development and progression of a specific disease. Over the past 10 years, new approaches using mixed models have emerged to mitigate the deleterious effects of population structure and relatedness in association studies. However, developing GWAS techniques to accurately test for association while correcting for population structure is a computational and statistical challenge. Using laboratory mouse strains as an example, our review characterizes the problem of population structure in association studies and describes how it can cause false positive associations. We then motivate mixed models in the context of unmodeled factors.
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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.