4 citations
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November 2020 in “BMC Dermatology” This study identified 374 eQTLs in scalp hair follicles associated with genes involved in metabolic, mitotic, immune processes, and responses to steroid hormones, contributing insights into genetic variation and hair traits.
48 citations
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May 2019 in “Genome Biology” This study identified genetic, biological, and technical factors that influence circRNA expression in the human brain, connecting these factors to potential genetic risk for diseases like schizophrenia and type II diabetes.
April 2024 in “Journal of Investigative Dermatology” This study identified three new genetic loci linked to sweat gland density in a GWAS involving 6,210 Han Chinese individuals, highlighting potential targets for understanding conditions like anhidrosis and hyperhidrosis and emphasizing the use of quantitative traits in genetic dermatology research.
11 citations
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July 2021 in “Genetics selection evolution” This study used whole-genome sequence data to identify numerous putative causal variants and genes affecting key wool traits and skin wrinkle in Merino sheep, highlighting their polygenic and pleiotropic nature.
5 citations
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November 2022 in “Genetics selection evolution” This study found that low-coverage whole-genome sequencing followed by imputation effectively identifies genetic variants associated with wool traits in Angora rabbits, offering a cost-efficient method for genetic research and breeding.