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This study found that the JAK1 rs310241 AG genotype is associated with a 4.6-fold increased risk of alopecia areata, whereas JAK2 polymorphisms showed no significant link, suggesting a potential genetic susceptibility factor warranting further research.

This Mendelian randomization study suggests a causal link between higher BMI and increased risk of psoriasis, atopic dermatitis, and hidradenitis suppurativa, potentially due to elevated biomarkers such as triglycerides and C-reactive protein.

This study found that genetic predictions of male pattern baldness derived from European data do not accurately predict baldness in African populations, highlighting significant continental differences in genetic architecture and evolutionary history.

This study found several microRNA-related genetic variants linked to epithelial ovarian cancer risk, with a notable association at the 17q21.31 region, suggesting potential new susceptibility genes.

This study suggests that variations in PCOS phenotypes observed across different ethnic groups may be due to a genetic gradient resulting from historical human migrations and genetic drift.

This study found that Ldh activity in hair follicle stem cell-mediated squamous cell carcinoma is not necessary for tumorigenesis, as its modulation did not affect the cancer's development or characteristics.

This study found that polymorphisms in the KAP8.1 gene were significantly associated with cashmere weight, length, and guard hair length in Chinese Inner Mongolian Cashmere goats, but not with fibre diameter.

This study demonstrated that genetic markers can predict human ear morphology with moderate to good accuracy, potentially aiding forensic identification in crime scene investigations where traditional DNA matches are unavailable.

This study detected insomnia risk signals associated with various medications, primarily nervous system drugs, using the FDA's Adverse Event Reporting System data from 2004 to 2024.

In this study, researchers identified 19 genetic risk loci and highlighted 16 candidate causal genes, including immune-related ones, associated with polycystic ovary syndrome, emphasizing the role of specific immune cells like T cells and NK cells in its pathogenesis.

This study identified novel genetic variations in the KRTAP22-2 gene among eight sheep breeds but found no association between these genotypes and wool fibre traits, indicating possible species-specific differences compared to goats.

This study found that among women with PCOS, the FokI CC genotype of the VDR gene may offer protection against acne and seborrhea, while the VDR-TaqI dominant genotype is associated with reduced oxidative stress.

This study offers evidence suggesting a probable causal role of certain gut microbiota in the development of alopecia areata.

This study found no significant genetic correlations between male pattern baldness and COVID-19 outcomes, suggesting that shared genetic factors may not explain the reported association.

This study found that TCF7L2 gene polymorphism is linked to alopecia areata, but no significant difference in treatment outcomes was observed between PRP and conventional therapy among different genotypes.

This study used a new statistical approach, PLACO, to identify several novel shared genetic regions associated with both Type 2 Diabetes and Prostate Cancer in two large GWAS datasets.

This study designed a 66 K SNP chip using solution hybrid selection for cashmere goats, reporting SNP call rates between 95.3% and 99.8% and demonstrating its utility in genomic analyses, suggesting potential application for other species.

This study found that certain keratin gene mutations associated with pachyonychia congenita are linked to altered enamel structure and increased risk of dental caries.

This study found that specific SNPs in the CXCL1 and CXCL2 genes may be associated with increased susceptibility to alopecia areata in the Korean population.

In a retrospective cohort of patients with steroid 5 α-reductase 2 deficiency, this study identified seven novel genetic variants in the SRD5A2 gene, expanding the variant database and contributing to improved diagnostic and therapeutic approaches for the condition.

This study found that a high percentage of pediatric sickle cell disease patients have parents from medium-high socioeconomic status, indicating that the educational background of parents did not influence the disease's prevalence.

This study established a predictive model for water intake in hair sheep, finding significant associations with dry matter and its intake but not with sex classes, suggesting a more accurate and efficient way to predict and manage water use in these animals.

This study found that specific SNPs in the CYP19A1 gene were associated with Female Pattern Hair Loss in Egyptian women, with altered CYP19A1 gene expression and higher frequencies of related genotypes observed in patients compared to controls.

This review discusses the genetic causes and pathogenesis of Olmsted syndrome, emphasizing the potential for a genotype-phenotype correlation due to TRPV3 mutations, and explores avenues for individualized treatment developments for this condition.

This study found that a combined genotypic and phenotypic reanalysis increased molecular diagnostic accuracy from 9% to 26% in a cohort of unresolved monogenic diabetes cases, identifying five previously overlooked genetic defects.

This review discusses the potential of augmented reality to advance vascular and endovascular surgery by improving 3D anatomical understanding and reducing patient risk, but notes that further research is needed to overcome current technological limitations.

This study investigated genetic markers for alopecia areata in the Turkish population, finding that the CT60 polymorphism might be linked to increased susceptibility, while no such association was found for the +49AG polymorphism; further studies are needed to confirm these findings.

In this study, the HairCheck device was reported to accurately assess changes in hair density and diameter, suggesting its usefulness in monitoring alopecia progression and treatment response.

This study reported that using plain bottles instead of commercial kits for extracting platelet-rich plasma may be an effective method for treating hair loss.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.