23 citations
,
July 2020 in “BMC Genomics” NCBP3, SDHA, and PTPRA are the best genes for accurate goat skin research.
2 citations
,
October 1990 in “The Lancet” Some people have a genetic variation that makes them less effective at breaking down drugs.
1 citations
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September 2023 in “Acta dermato-venereologica” Certain genetic variants are linked to frontal fibrosing alopecia in Spanish patients.
May 2023 in “Pharmaceuticals” Three specific mutations in the LIPH gene can cause hair loss by damaging the protein's structure and function.
October 2025 in “Communications Medicine” Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
February 2026 in “Frontiers in Medicine” Personalized sonidegib dosing can effectively treat Gorlin-Goltz syndrome with fewer side effects.
The study found genetic variations in sheep that affect traits like milk production, growth, and health.
1 citations
,
November 2024 in “Diabetes Metabolic Syndrome and Obesity” A specific gene variant is linked to severe insulin resistance and hormone imbalance in a teenage girl.
36 citations
,
November 2005 in “Forensic Science International” BioPlex-11 improves DNA profiling from telogen hair roots in forensic work.
February 1989 in “PubMed” A genetic hair protein variant is more common in Japanese people and is inherited.
October 2023 in “Psychiatry research. Case reports” A new HRAS gene variant may cause a range of symptoms including intellectual disability and psychiatric issues.
November 2024 in “Journal of Investigative Dermatology” Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
39 citations
,
December 2012 in “The American Journal of Human Genetics” Mutations in the SNRPE gene cause hereditary hair loss.
April 2026 in “Human Genome Variation” Long-read RNA sequencing can identify complex gene changes in IFAP syndrome.
January 2013 in “Faculty of Health; Institute of Health and Biomedical Innovation” Four genetic risk areas related to male-pattern baldness were identified, with WNT signaling playing a role in its development.
3 citations
,
August 2022 in “Biochemical Genetics” 1 citations
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April 2021 in “IntechOpen eBooks” The PCR technique can identify genetic differences in a wool-related gene among different sheep breeds, which may help improve wool and pelt quality.
2 citations
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October 2016 in “OPAL (Open@LaTrobe) (La Trobe University)” The Swedish neonatal screening program effectively detects PKU, galactosaemia, and biotinidase deficiency with low false positives.
13 citations
,
June 2024 in “Frontiers in Genetics” About 50% of 46, XY DSD cases lack a genetic diagnosis, but advanced sequencing methods improve detection.
August 2024 in “Cosmetics” Personalized treatments for hair loss are becoming more effective by using genetic information.
January 1999 in “American Journal of Medical Genetics Part A” The report expanded knowledge of MBTPS1-related disorders by identifying new symptoms.
August 2015 in “International Journal of Genetics and Molecular Biology” Certain genetic markers may increase or decrease prostate cancer risk.
November 2025 in “animal” Certain genes in European Merino sheep help them adapt to different climates.
January 2026 in “Figshare” January 2026 in “Figshare”
February 2025 in “Archives animal breeding/Archiv für Tierzucht” Certain gene combinations improve cashmere quality and production in Liaoning goats.
September 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” The research provided new insights into the genetic factors contributing to hair loss and skin conditions by analyzing individual cells from the human scalp.
68 citations
,
August 2009 in “American Journal of Medical Genetics Part A” A new classification for trichothiodystrophy helps identify genetic causes and potential treatments.
26 citations
,
May 2024 in “Molecular Neurodegeneration” H1 increases risk for neurodegenerative diseases, while H2 offers protection but is linked to other disorders.
April 2023 in “Anatomy Physiology & Biochemistry International Journal” PCOS in Karnataka is influenced by genetics, lifestyle, obesity, and diabetes.