1 citations
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February 2025 in “Medicina” No significant genetic link to alopecia areata was found in the Jordanian group.
4 citations
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March 2024 in “Forensic Sciences Research” Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
1 citations
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August 2021 in “Medical Science Monitor” Male and female hair loss have different genetic causes.
24 citations
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March 2011 in “British Journal of Dermatology” Men with hair loss have more DNA changes in back-of-head hair follicles, possibly protecting them from thinning.
77 citations
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April 2009 in “British Journal of Dermatology” Aromatase gene variation may increase female hair loss risk.
2 citations
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March 2023 in “Research Square (Research Square)” Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
9 citations
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August 2013 in “PLOS ONE” Genetic variants at 20p11 increase baldness risk in Chinese Han people.
51 citations
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November 2011 in “British Journal of Dermatology” A gene called HDAC9 might be a new factor in male-pattern baldness.
38 citations
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February 2012 in “British Journal of Dermatology” AR/EDA2R gene linked to early-onset female hair loss, but 20p11 gene not involved.
28 citations
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March 2010 in “British Journal of Dermatology” Genetic marker rs12558842 strongly linked to male hair loss.
25 citations
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July 2013 in “Journal of Dermatological Science” Six new hair loss factors in men not linked to female hair loss.
21 citations
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December 2013 in “Archives of Dermatological Research” No link found between new male baldness genes and female hair loss.
15 citations
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June 2011 in “British Journal of Dermatology” No link found between aromatase gene and female hair loss.
9 citations
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November 2012 in “Archives of Dermatological Research” MC4R gene variants not linked to female hair loss.
6 citations
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January 2020 in “Czech Journal of Animal Science” The FAT1 gene and its variations can help improve wool quality in Chinese Merino sheep through selective breeding.
Combined finasteride and anastrozole therapy effectively treats BPH, influenced by hormone imbalances and genetics.
4 citations
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March 2018 in “PloS one” Men with less sun-sensitive skin have lower PSA levels, while men with more sun-sensitive skin have higher PSA levels.
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.
57 citations
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November 2006 in “International Journal of Cancer” A49T gene variant linked to higher prostate cancer risk, lower hormone levels, and slightly reduced balding risk.
6 citations
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November 2019 in “The application of clinical genetics” The study found that a specific genetic variation in the TNFα gene is significantly linked to Alopecia Areata in the Jordanian Arab population.
505 citations
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October 2011 in “Journal of clinical oncology” MK-2206 was safe and effectively blocked AKT signaling in cancer patients, warranting more trials.
September 2024 in “Frontiers in Genetics” A specific genetic marker is linked to male pattern baldness in Han Chinese men.
89 citations
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April 2023 in “Forensic Science International Genetics” Forensic DNA Phenotyping can now better predict appearance, ancestry, and age from DNA, but more research is needed for precise police use.
1 citations
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October 2024 in “Medicina” CLEC4D gene variants may increase the risk of alopecia areata in Jordanians.
26 citations
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September 2010 in “Experimental Dermatology” Two gene areas linked to male pattern baldness found, more research needed.
February 2017 in “Cancer Causes & Control” Swedish men with the E213 A-allele of the androgen receptor have a lower risk of prostate cancer.
73 citations
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April 2006 in “BioTechniques” Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
November 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” A new method helps find proteins in hair to identify fetal growth issues.
117 citations
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September 2003 in “Molecular & cellular proteomics” The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
822 citations
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January 2021 in “Genome biology” scMC effectively separates biological signals from technical noise in single-cell genomics data.