Identification of Associations with Dermatologic Diseases through a Focused GWAS of the UK Biobank

Jason C. Klein , Ruchika Mahapatra , Gary C. Hon , Richard C. Wang
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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 LRP3 for lipomas, PLCD1 for sebaceous cysts, EIF3CL for lichen planus, TTK for pilonidal cysts, and MAPK15 for systemic lupus erythematosus.
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通过英国生物库的重点基因组研究确定皮肤病的相关性
英国生物库包括约 50 万名患者 7000 多种表型的基因型信息。然而,由于对约 2,000 亿次检测进行了多重检测校正,许多具有临床和统计学意义的关联仍未得到重视。我们对英国生物库中的 13 种皮肤病进行了重点分析,包括恶性黑色素瘤、原位黑色素瘤、鳞状细胞癌、基底细胞癌、光化性角化病、脂溢性角化病、银屑病、扁平苔藓、系统性红斑狼疮、多汗症、皮样囊肿、皮脂腺囊肿和脂肪瘤。我们发现了 447 个哨点变异,这些变异富含蛋白质编码变异,与背景变异相比,综合注释依赖性损耗(CADD)得分较高。通过基因本体富集分析,我们确定了涉及黑色素瘤、光化性角化病和鳞状细胞癌的已知通路,并发现了其他通路。我们还发现了 5 种蛋白质编码变异,据我们所知,这些变异以前从未报道过,其中包括脂肪瘤的 LRP3、皮脂腺囊肿的 PLCD1、扁平苔藓的 EIF3CL、朝天鼻囊肿的 TTK 和系统性红斑狼疮的 MAPK15。
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来源期刊
CiteScore
4.00
自引率
0.00%
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0
审稿时长
8 weeks
期刊最新文献
Cover 1 Corrigendum to ‘Proteomic Profiling of CCCA Reveals Role of Humoral Immune Response Pathway and Metabolic Dysregulation’ JID Innovations, Volume 4, Issue 3, May 2024, 100263 Identification of Associations with Dermatologic Diseases through a Focused GWAS of the UK Biobank From Plant to Patient: A Historical Perspective and Review of Selected Medicinal Plants in Dermatology Spatial Transcriptomics in Inflammatory Skin Diseases Using GeoMx Digital Spatial Profiling: A Practical Guide for Applications in Dermatology
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