遗传变异对人类疾病的影响:从基因组学到表型

Xiaohui Shi
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引用次数: 0

摘要

基因变异对人类疾病的影响是一个涉及基因组学、表观遗传学和表型关系的多方面现象。人类基因分析技术的进步彻底改变了我们对遗传疾病的认识,使我们能够通过大规模筛选来探索序列变异与疾病易感性之间的关联。环境刺激也会导致表观遗传学的改变,从而形成基因表达和表型特征。最近对单卵双生子的研究突出了非遗传因素在表型差异中的作用,强调了遗传与环境之间复杂的相互作用。文献综述重点介绍了一些开创性研究,这些研究阐明了人类疾病的遗传和进化机制,为个性化医疗提供了启示。药物遗传学和免疫组学等方法为精准治疗和免疫学研究提供了途径。异质性加权 U 检验和高斯随机效应模型有助于探索表型与基因型的关系,并有助于评估疾病模型中的遗传异质性。模拟实验加深了我们对遗传变异对疾病表现影响的理解。跨学科方法对于揭示人类疾病的复杂遗传图谱和开发有针对性的治疗干预措施至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Genetic Variation on Human Disease: From Genomics to Phenotype
The impact of genetic variation on human disease is a multifaceted phenomenon involving genomics, epigenetics, and phenotype relationships. Advances in human genetic analysis technology have revolutionized our understanding of genetic disorders, enabling large-scale screens to explore associations between sequence variants and disease susceptibility. Environmental stimuli also contribute to epigenetic modifications that shape gene expression and phenotypic traits. Recent research on monozygotic twins highlights the role of non-genetic factors in phenotypic differences, underscoring the complex interplay between genetics and environment. The literature review highlights seminal studies that elucidate genetic and evolutionary mechanisms underlying human disease, providing insights for personalized medicine. Methods such as pharmacogenetics and immunomics provide avenues for precision therapies and immunological research. The Heterogeneity Weighted U test and the Gaussian random effects model facilitate the exploration of phenotype-genotype relationships and help to assess genetic heterogeneity in disease models. Simulation experiments deepen our understanding of the impact of genetic variation on disease manifestation. The interdisciplinary approaches are crucial to unravel the complex genetic landscape of human diseases and to develop tailored therapeutic interventions.
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