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    Glossary Genome-Wide Association Study

    research method identifying genetic variants linked to specific traits

    A Genome-Wide Association Study (GWAS) is a research approach used to identify genetic variations linked to specific diseases or traits by scanning the genomes of many individuals. By comparing the DNA of people with and without a particular condition, researchers can pinpoint genetic markers that may contribute to the risk of developing that condition, providing insights into its biological mechanisms.

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    1. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features Nature Communications · 2016 · 196 citations
    2. Genomewide Scan for Linkage Reveals Evidence of Several Susceptibility Loci for Alopecia Areata The American Journal of Human Genetics · 2007 · 143 citations
    3. Genome-wide association study in Japanese females identifies fifteen novel skin-related trait associations Scientific reports · 2018 · 58 citations
    4. Genetic determinants of skin ageing: a systematic review and meta-analysis of genome-wide association studies and candidate genes Journal of PHYSIOLOGICAL ANTHROPOLOGY · 2025 · 3 citations
    5. The Genetics of Seborrheic Dermatitis: A Candidate Gene Approach and Pilot Genome-Wide Association Study Journal of Investigative Dermatology · 2017 · 15 citations
    6. The Polycystic Ovary Syndrome Evolutionary Paradox: a Genome-Wide Association Studies–Based, in silico, Evolutionary Explanation The Journal of Clinical Endocrinology and Metabolism · 2014 · 47 citations
    7. Genome-wide association study in alopecia areata implicates both innate and adaptive immunity Nature · 2010 · 717 citations
    8. Genome-Wide Association Study for Udder Conformation Traits in Chinese Holstein Cattle Animals · 2022 · 10 citations
    9. Identification of Candidate Genes for Min Pig Villi Hair Traits by Genome-Wide Association of Copy Number Variation Veterinary sciences · 2023 · 3 citations
    10. Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation BMC plant biology · 2023 · 2 citations
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