探索多种长期疾病的遗传架构,使用全基因组关联研究在英国生物银行的人口
Anand Thakarakkattil Narayanan Nair1, Miles Witham2,3, Avan A Sayer2,3
1Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Scientific reports
|December 6, 2025
概括
多重长期疾病 (MLTC) 正在增加,其中涉及HLA基因等遗传因素. 研究确定了关键的疾病因素和途径,为更好的预防和管理策略铺平了道路.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 公共卫生 公共卫生
- 计算生物学 计算生物学
背景情况:
- 多重长期疾病 (MLTC) 的患病率日益增加,对公众健康构成了重大挑战.
- 了解MLTC的生物机制和遗传基础对于制定有效的预防和管理策略至关重要.
- 目前关于MLTC遗传驱动因素的知识仍然有限.
研究的目的:
- 使用英国生物银行数据,识别与多种长期疾病 (MLTC) 相关的遗传驱动因素.
- 通过全基因组关联研究 (GWAS) 描述MLTC和复杂MLTC的遗传结构.
- 通过因子分析和多基因风险评分 (PRS) 探索导致MLTC的潜在因素的基因组基础.
主要方法:
- 利用英国生物库的数据来定义和描述来自51个疾病标签的MLTC (≥2种长期疾病) 和复杂MLTC (≥3种不同身体系统的疾病).
- 针对MLTC和复杂MLTC进行了全基因组关联研究 (GWAS),随后进行了GWAS后分析.
- 在个别疾病数据上进行了因子分析,以确定潜在因素,并使用单一疾病的PRS和GWAS调查它们的基因组学.
主要成果:
- 简单MLTC的患病率为33.0%,复杂MLTC的患病率为11.2%.
- 对于MLTC GWAS,大多数显著单核酸多态 (SNPs) 位于6号染色体上,主要位于HLA区域.
- 因子分析确定了五个关键因素:代谢疾病,精神疾病,癌症,肌肉骨/炎症和消化系统疾病. 在所有分析中,HLA基因和MLTC之间的关联始终被强调.
结论:
- 遗传因素,特别是在HLA区域内,在多种长期疾病的发展中发挥着重要作用.
- 鉴定了有助于MLTC的不同潜在因素,提供了对疾病同时发生模式的见解.
- 需要进一步的研究整合多omics数据,以充分阐明MLTC和HLA基因之间的复杂关系.
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