April 2017 in “Journal of Investigative Dermatology” Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
1 citations
,
January 2024 in “Animal Research and One Health” Mouse models are essential for studying and improving genetic traits in agriculture.
30 citations
,
May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
85 citations
,
June 2015 in “Scientific Reports” The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
36 citations
,
March 2019 in “European Journal of Human Genetics” The research found genetic differences in identical twins that could explain why one twin has a disease while the other does not.
2 citations
,
April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
11 citations
,
February 2019 in “Research and reports in forensic medical science” DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
2 citations
,
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.
73 citations
,
April 2006 in “BioTechniques” Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
10 citations
,
May 2007 in “Oncology Reports” Colorectal cancer's ability to spread is due to changes in many genes, not just one.
October 2018 in “Current Opinion in Genetics & Development” The document emphasizes the importance of ongoing research and ethical considerations in genome editing and cellular reprogramming.
5 citations
,
May 2024 in “Current Issues in Molecular Biology” Single-cell sequencing can improve livestock health and productivity but faces challenges in precise cell analysis.
December 2022 in “Research Square (Research Square)” The QuantAnts machines can find cancer markers and create CRISPR targets for them.
24 citations
,
June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
January 2024 in “Updates in clinical dermatology”
4 citations
,
May 2017 in “Data in Brief” Five molecular elements identified as potential future targets for hair loss therapy.
32 citations
,
April 2024 in “Nature Biotechnology”
106 citations
,
November 2014 in “Cell Stem Cell” New single-cell analysis techniques are improving our understanding of stem cells and could help in treating diseases.
9 citations
,
December 2023 in “BMC Genomics” Hair follicles and urine cell pellets are promising for transcriptome studies.
89 citations
,
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.
2 citations
,
December 2024 in “Journal of Cosmetic Dermatology” SNP profiling allows personalized skincare treatments for better results and fewer side effects.
Pangenome analysis reveals key genes for pig adaptation and traits, aiding genetic improvement.
6 citations
,
April 2024 in “Journal of Investigative Dermatology” CRISPR-based tools improve understanding and treatment of skin development and conditions.
August 2024 in “Clinical & experimental pathology” Forensic DNA phenotyping can now predict more physical traits and ancestry from DNA, but further improvements are needed.
1 citations
,
June 2025 in “Frontiers in Genetics” Key genes IRF2BP2 and EGFR are linked to Hetian sheep's double-coat fleece.
May 2023 in “GSC biological and pharmaceutical sciences” Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
822 citations
,
January 2021 in “Genome biology” scMC effectively separates biological signals from technical noise in single-cell genomics data.
April 2023 in “Medizinische Genetik” New gene discoveries have improved diagnosis and treatment for skin and hair disorders, but more research is needed to fully understand them.