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This review found that current forensic DNA phenotyping panels for biogeographical ancestry and visible traits face significant limitations due to inconsistencies in terminology, genetic understanding, and genotyping technologies, highlighting the need for harmonization and further research.

This review discusses existing forensic DNA phenotyping panels for biogeographical ancestry and externally visible characteristics and highlights major technical limitations, including terminology issues, genetic knowledge gaps, and technological debates; it reports no new results.

This review discusses forensic DNA phenotyping and its potential applications, particularly for human identification in Latin American populations, but notes challenges due to genetic diversity and reports no new results.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.

In this study, researchers observed that alopecia areata patients showed higher Th1 and Th2 responses against specific melanogenesis-related protein epitopes, suggesting a role in disease activity and potential targets for diagnostics and therapies.

This study found that using a pharmacogenetic panel with 26 SNPs can improve treatment outcomes for androgenetic alopecia, as overall response rates to minoxidil, finasteride, and dutasteride were high, and specific genetic markers predicted poor responses to these drugs.

This study found that rare germline pathogenic variants in BRCA2, BRCA1, and ATM are associated with increased risk of aggressive prostate cancer.

CEC levels may be a useful marker for predicting prostate cancer progression.

This study applied a machine learning-based genomic analysis to identify genetic markers associated with wool traits in Central Anatolian Merino sheep, successfully highlighting loci relevant to fiber diameter, staple length, and greasy fleece yield, which could inform breeding programs to enhance wool quality and yield.

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.

DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.

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.

This study identified key genes linked to immune cells and potential therapeutic compounds for alopecia areata by evaluating upregulated genes from patient datasets, highlighting T and NK cell involvement in hair follicle attack and suggesting drug candidates through molecular docking and dynamics simulations.

This study constructed a panel of pharmacokinetic and pharmacodynamic genes, revealing that current SNP chips insufficiently capture many drug-response gene variants, highlighting the need for complementary genetic approaches.

This study identified several compounds from traditional Chinese medicines that may inhibit prostaglandin D2 synthase, potentially providing promising candidates for treating androgenic alopecia with minimal adverse skin reactions.

In this study, researchers developed a regression model that reasonably predicts consumer-perceived hair breakage using various parameters such as hair smoothness, detangling forces, extensional strength, and hair density among Indian women.

This review suggests a shift toward genetically informed treatments for male pattern hair loss by integrating genetic insights and pharmacogenetic markers into therapeutic decision-making.

The study introduced an advanced skin model, ImmuSkin-MT, which effectively distinguished between different strengths of skin sensitizers by mimicking the interaction of immune cells in skin tissue.

This Delphi study found that moderate-to-severe alopecia areata in Poland, Czechia, Russia, and Türkiye significantly impacts quality of life and highlights an unmet need for more effective treatments.

This source reports that trastuzumab deruxtecan improves outcomes in HER2-positive and HER2-low metastatic breast cancer, emphasizing the need for careful adverse event monitoring, particularly for interstitial lung disease, and managing emetic risk to maximize benefits.

This study found that short-term exposure to PM2.5 and Asian dust particles did not increase skin symptoms in schoolchildren.

This study found that IL-1 blockers are effective for SURF and identified predictors of colchicine resistance, emphasizing the need for refined diagnostic criteria and personalized treatment due to the heterogeneity observed within SURF.

This study highlights that while advances in dermatology, such as biologics and JAK inhibitors, have improved treatments for conditions like atopic dermatitis and psoriasis, challenges remain, including issues with lasting efficacy and the need for more personalized therapies.

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.

Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

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.

This study assessed breeding value estimation methods for Korean Sapsaree dogs, finding varied accuracy across BLUP approaches and identifying significant genomic regions affecting traits like body height and hair length. The researchers suggest these findings can enhance breeding strategies for this culturally significant breed.

In this study, tofacitinib and baricitinib showed similar effectiveness and safety in treating alopecia areata, but baricitinib had a higher rate of early responders. Baseline hair loss severity was identified as the only independent predictor of treatment response.

This study suggests that human DSCCs may aid in hair follicle regeneration and reduce microinflammation, with potential applications in regenerative medicine evaluated through a new morphometric analysis.