遗传性皮肤病的双基因遗传:来自中东和北非(MENA)地区参考黎巴嫩中心的两个近亲病例的见解。

IF 2.3 4区 医学 Q2 DERMATOLOGY Dermatology practical & conceptual Pub Date : 2025-01-30 DOI:10.5826/dpc.1501a4935
Ayat Kadhi, Lamiaa Hamie, Edward Eid, Georges Nemer, Mazen Kurban
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摘要

简介:遗传性皮肤病是指一组以皮肤为表现的异质性罕见遗传病。几种遗传性皮肤病存在多系统累及,可从轻度到危及生命的情况,导致发病率和死亡率增加。目的:考虑到基因皮肤病领域的文献匮乏,特别是在中东和北非(MENA)地区,基于黎巴嫩第一个建立的基因皮肤病数据库,本研究旨在破译两种不同类型的皮肤遗传性疾病(雄激素性脱发和白癜风)的遗传基础。方法:我们对两名雄激素性脱发和白癜风患者进行了一项初步研究,以探讨基因遗传模型作为这些疾病潜在机制的可能性。采用全外显子组测序(WES)和基因表达综合(GEO)数据集验证方法,为未来更大规模的研究奠定基础。结果:我们发现了两个基因变体FOXC1(p.s his484tyr)和SMARCD1 (p.g arg351cys)与雄激素性脱发有关,HPS1(p.s ser566ter)和ITK (p.p pro521leu)与白癜风有关。使用GEO数据集的进一步分析证实了每种疾病所涉及的基因之间的关联。结论:本研究确定了新的候选疾病基因和遗传模型,可以解释潜在的表型,这可能为更好地指导个性化治疗和早期诊断的基因组方法打开大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Di-Genic Inheritance in Genodermatoses: Insights from Two Consanguineous Cases in a Reference Lebanese Center within the Middle East and North Africa (MENA) Region.

Introduction: Genodermatoses refer to a group of heterogenous rare genetic diseases with cutaneous expression. Several genodermatoses present with multisystem involvement that can range from mild to life-threatening conditions leading to increased morbidity and mortality.

Objective: Given the paucity in the literature in the field of genodermatoses, especially in the Middle East and North Africa (MENA) region, and building upon the first established genodermatoses database based in Lebanon, this study aimed to decipher the genetic basis of two different types of skin-inherited diseases (androgenic alopecia and vitiligo).

Methods: We conducted a pilot study on two subjects with androgenic alopecia and vitiligo to investigate the possibility of a digenic inheritance model as a potential underlying mechanism for these conditions. Whole exome sequencing (WES) and Gene Expression Omnibus (GEO) DataSets were employed to validate the methodology and provide a foundation for future, larger-scale studies.

Results: We identified two gene variants FOXC1(p.His484Tyr) and SMARCD1 (p.Arg351Cys) responsible for androgenic alopecia and HPS1(p.Ser566Ter) and ITK (p.Pro521Leu) responsible for vitiligo. Further analysis using GEO DataSets confirmed the association between the genes involved in each each disease.

Conclusion: This study identified novel candidate disease genes and inheritance model that could explain the underlying phenotypes that could open the door for a better-guided genomic approach for personalized treatment and early diagnosis.

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