Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

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.

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 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 study applied a prediction model based on five SNPs to Russian males with male pattern hair loss, finding a significant association between the AR genomic region and high dihydrotestosterone levels in these patients.

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.

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.

This study found that genetic variants in the goat KRTAP22-2 gene are associated with the mean fiber diameter of cashmere in Longdong Cashmere goats, suggesting these variants could serve as molecular markers for improving cashmere traits.

This study found that specific DNA variants in the TCHH, WNT10A, and FRAS1 genes are associated with predicting straight hair in Europeans, showing high sensitivity but low specificity, especially using a neural networks approach.

This paper discusses forensic DNA phenotyping, emphasizing its ability to infer visible traits from biological samples without reference samples, but notes ethical and legal concerns related to its use.

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.

In this study, researchers found that a PER3 gene SNP may be pathogenic for a new subtype of dyschromatosis universalis hereditaria, especially when combined with a SASH1 mutation.

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.

In this study, intrathecal progesterone administration initially worsened mechanical allodynia in mice after nerve injury, but later reduced pain when applied during the maintenance phase, highlighting distinct roles for cytochrome P450c17 and 5α-reductase in neuropathic pain modulation.

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.

In this study, researchers identified two genetic mutations associated with producing finer and denser wool in fine-wool sheep, involving the genes KRT74 and EDAR, which may guide future breeding efforts to enhance wool quality.

This paper reviews genome-based personalized medicine developments using Web services for analyzing SNPs in reproductive potential but reports no new clinical findings.

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.

This review highlights how the development of forensic DNA phenotyping systems like IrisPlex, HIrisPlex, and HIrisPlex-S has advanced criminal investigation by accurately predicting physical traits such as eye, hair, and skin color from DNA, thereby improving the precision and relevance of forensic applications.

In this study, researchers from the Swedish forensic medicine agency aimed to enhance routine practices by integrating affordable photogrammetry technology to improve 3D injury documentation, highlighting efforts to implement this in daily forensic work amid financial and staffing constraints.

This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.

This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.

This review explores the role of hyperandrogenism, including adrenal-derived 11-oxygenated androgen, in the development of polycystic ovarian syndrome and discusses potential therapeutic strategies targeting androgen excess, without reporting new clinical results.

This study found that integrating breed-specific BOA and SNP-based models helps reveal the genetic factors involved in thermotolerance traits in beef cattle, enhancing insights into thermoregulation and potentially improving cattle's heat resilience.

This study identified two novel genetic variants associated with Alzheimer's disease in APOE ε4 non-carriers, revealing insights into the disease's underlying regulatory mechanisms.

This study found that both genetic and epigenetic factors significantly influence age-related facial skin aging, with lifestyle and environmental factors also playing a substantial role.

This study identified a new gene in sheep, KRTAP36-2, discovering variants associated with wool yield. Variations in this gene were linked to the efficiency of fleece conversion from greasy to clean, which may enhance wool production.

This review highlights that alopecia areata is influenced by genetic, autoimmune, and environmental factors, with emerging treatments like JAK-2 inhibitors showing promise for severe cases.

This study found that while genetic variants contribute minimally to predicting hair greying in a Polish population, age remains the primary predictor, underscoring the complexity of hair greying as a genetic trait.

Men with early balding should be checked for metabolic syndrome, as there's a link between the two.

This study found that low massage frequencies like 4.2 Hz enhance nanoparticle penetration into hair follicles more effectively than higher frequencies, indicating potential applications in therapeutic and cosmetic delivery.