153 citations
,
June 2015 in “GenomeBiology.com” The environment around the time of conception can change the VTRNA2-1 gene in a way that lasts for years and may affect disease risk.
26 citations
,
May 2013 in “British Journal of Dermatology” Hair loss risk is influenced by multiple genes.
26 citations
,
September 2020 in “Journal of the European Academy of Dermatology and Venereology” A certain genetic variant in the androgen receptor may predict the severity of COVID-19 in men.
February 2026 in “International Journal of Molecular Sciences” New biological pathways and potential treatment targets for male pattern baldness were identified.
November 2025 in “Frontiers in Pharmacology” 64 drugs can cause hair loss, needing better monitoring and updated labels.
34 citations
,
April 2014 in “Psychopharmacology” Stress and alcohol affect brain chemicals differently in rats, mice, and humans, influenced by genetic differences.
92 citations
,
December 2016 in “Scientific Reports” Researchers identified genes linked to coat color, body size, cashmere production, and high altitude adaptation in goats.
8 citations
,
March 2011 in “Endocrine” A new gene mutation causes vitamin D-resistant rickets and hair loss in two siblings.
10 citations
,
November 2010 in “Journal of Dermatology” Longer CAG repeats in gene linked to more severe hair loss in females.
July 2025 in “Annals of Human Genetics” Genetics play a major role in acne, but environmental factors and epigenetics also contribute.
20 citations
,
June 2019 in “Experimental Dermatology” The research suggests that autophagy-related genes might play a role in causing alopecia areata.
28 citations
,
November 2018 in “American Journal of Medical Genetics Part A” ODC1 gene mutations cause a neurodevelopmental disorder with large head size, hair loss, and facial abnormalities.
29 citations
,
July 2013 in “The Journal of Sexual Medicine” Testing for CAG repeat polymorphism in the androgen receptor gene is not currently recommended for managing hypogonadism.
51 citations
,
November 2011 in “British Journal of Dermatology” A gene called HDAC9 might be a new factor in male-pattern baldness.
2 citations
,
July 2011 in “AFRICAN JOURNAL OF BIOTECHNOLOGY” Seven genetic variations in sheep's DSG4 gene are linked and affect wool traits.
20 citations
,
December 2000 in “Fertility and Sterility” The N363S gene variant does not cause higher adrenal androgen levels in women with polycystic ovary syndrome.
August 2024 in “Clinical & experimental pathology” Forensic DNA phenotyping can now predict more physical traits and ancestry from DNA, but further improvements are needed.
5 citations
,
March 2005 in “Journal of The American Academy of Dermatology”
February 2024 in “BMC genomics” The TRPV3 gene variant may cause the long-haired suri alpaca coat.
February 2017 in “Cancer Causes & Control” Swedish men with the E213 A-allele of the androgen receptor have a lower risk of prostate cancer.
1 citations
,
November 2025 in “Science Advances” Two gene variants cause white spots in cattle.
2 citations
,
March 2024 in “International Journal of experimental research and review” Genetic variations contribute to over 10% of recurrent early pregnancy loss cases.
1 citations
,
May 2023 in “Frontiers in endocrinology” A new MBTPS2 gene variant disrupts fat metabolism and collagen production, causing Osteogenesis imperfecta.
7 citations
,
July 2018 in “Journal of Investigative Dermatology” Gene differences found in hair follicles linked to male baldness.
June 2024 in “Archives of Dermatological Research” SFRP2 and PTGDS may be key factors in female hair loss.
11 citations
,
February 2019 in “Research and reports in forensic medical science” DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
January 2002 in “映像情報メディア学会技術報告” Some prostate cancers have gene changes that may affect treatment with certain drugs.
January 2004 in “Chinese Journal of New Drugs and Clinical Remedies”
85 citations
,
June 2015 in “Scientific Reports” The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.