3 citations
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November 2022 in “European Journal of Human Genetics” This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.
5 citations
,
November 2020 in “Forensic Science International Genetics” This study found that using trait prevalence-informed priors may improve the prediction accuracy of appearance traits in Bayesian models, but their application is limited by sparse knowledge on trait prevalence.
37 citations
,
August 2020 in “BMC Genomics” This study found that while genetic variants contribute minimally to predicting hair greying in a Polish population, age remains the primary predictor, underscoring the complexity of hair greying as a genetic trait.
58 citations
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December 2018 in “Nature Communications” This study found that male pattern baldness in European males is strongly heritable and associated with genetic markers linked to earlier puberty, bone density, and pancreatic function.
58 citations
,
June 2018 in “Scientific reports” This study identified novel genetic associations with skin phenotypes such as age-spots, freckles, and hair characteristics in Japanese women, providing insights into the genetic basis of these traits.
57 citations
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November 2017 in “Nature Communications” This genome-wide association study identified 71 genetic loci linked to male pattern baldness, with 30 novel loci, explaining 38% of the risk and suggesting shared pathways with lifespan and cancer traits.
64 citations
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March 2017 in “Nature communications” This study identified 63 genetic loci associated with male-pattern baldness, uncovering genes and pathways that may help develop treatments and suggesting its connection to other human conditions.
133 citations
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February 2017 in “PLoS Genetics” In this study, researchers used genetic data from over 52,000 men to identify over 250 genetic loci associated with severe hair loss and developed a predictive algorithm for determining hair loss risk.
37 citations
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October 2015 in “European Journal of Human Genetics” This study found that a genetic model using SNPs can predict early-onset male-pattern baldness with moderate accuracy, which may assist in decisions about interventions.
36 citations
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September 2015 in “Forensic Science International: Genetics” This study found that specific DNA variants in the TCHH, WNT10A, and FRAS1 genes are associated with predicting straight hair in Europeans, showing high sensitivity but low specificity, especially using a neural networks approach.
48 citations
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May 2015 in “PLOS ONE” This study found that a genetic test using 5 to 20 SNPs can predict male pattern baldness with variable accuracy in European men, especially those aged 50 and older.
74 citations
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January 2013 in “Journal of Investigative Dermatology” Four genetic risk spots found for hair loss, with WNT signaling involved and a link to curly hair.
191 citations
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December 2003 in “Journal of Investigative Dermatology” Male pattern baldness is largely genetic, linked to the androgen receptor gene, and may relate to certain health issues.