AI Article Synopsis

  • The UK Biobank contains genotype data for around 500,000 individuals and over 7,000 traits, but many significant relationships are overlooked due to the vast number of tests conducted.
  • This study focuses on 13 skin-related conditions and identifies 447 important genetic variants that are more likely to affect protein functions, along with a higher CADD score, indicating their potential impact.
  • Through further analysis, the researchers not only confirmed existing pathways related to skin cancers but also discovered five new protein-coding variants linked to conditions like lipomas and systemic lupus erythematosus.

Article Abstract

The UK Biobank includes genotype information for about 500,000 patients for over 7000 phenotypes. However, owing to multiple testing correction for approximately 200 billion tests, many clinically and statistically significant associations remain unappreciated. We perform a focused analysis of the UK Biobank for 13 dermatologic conditions, including malignant melanoma, melanoma in situ, squamous cell carcinoma, basal cell carcinoma, actinic keratosis, seborrheic keratosis, psoriasis, lichen planus, systemic lupus erythematosus, hyperhidrosis, pilonidal cyst, sebaceous cyst, and lipoma. We identify 447 sentinel variants, which are enriched for protein-coding variants and an elevated combined annotation-dependent depletion (CADD) score compared with background variants. Through gene ontology enrichment analysis, we identify known pathways involved in melanoma, actinic keratoses, and squamous cell carcinoma and uncover additional pathways. We also uncover 5 protein-coding variants, which, to our knowledge, have not been previously reported, including for lipomas, for sebaceous cysts, for lichen planus, for pilonidal cysts, and for systemic lupus erythematosus.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11609433PMC
http://dx.doi.org/10.1016/j.xjidi.2024.100322DOI Listing

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