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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. Genome-wide association study in alopecia areata implicates both innate and adaptive immunity Nature · 2010 · 717 citations
    2. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features Nature Communications · 2016 · 196 citations
    3. Genome-wide association study in frontal fibrosing alopecia identifies four susceptibility loci including HLA-B*07:02 Nature Communications · 2019 · 115 citations
    4. Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability Nature Genetics · 2018 · 94 citations
    5. Genome-wide association study identifies a new locus JMJD1C at 10q21 that may influence serum androgen levels in men 2012 · 78 citations
    6. Genome-wide association study in Japanese females identifies fifteen novel skin-related trait associations Scientific reports · 2018 · 58 citations
    7. Functional Interpretation of Genome-Wide Association Study Evidence in Alopecia Areata Journal of Investigative Dermatology · 2015 · 55 citations
    8. Genome-wide association study of skin complex diseases Journal of Dermatological Science · 2012 · 25 citations
    9. Genome-wide association study for cashmere traits in Inner Mongolia cashmere goat population reveals new candidate genes and haplotypes BMC Genomics · 2024 · 13 citations
    10. Genome-Wide Association Study for Udder Conformation Traits in Chinese Holstein Cattle Animals · 2022 · 10 citations
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