Single nucleotide polymorphisms in human health and disease: Towards resolution of a conundrum

Narendra Joshi
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引用次数: 1

Abstract

Single nucleotide polymorphisms, also referred to as Single nucleotide variants remain single most dominant feature of variations in the human genome. The large numbers, stability and presence at easily detectable frequencies make them the most suitable potential markers for association studies in human health and disease. The study of these common genetic variants has now evolved and given rise to the understanding of less frequently encountered ‘rare’ variants of varying minor allele frequencies. The acceptance of role of rare single nucleotide variants in human diseases appears to coincide with the phasing out of the term ‘mutation’ in the dbSNP. The contribution of rare variants helps resolve the enigma of heritability of complex traits to a great extent. Integration of analysis of rare and common variants with the support of technological innovations and improved strategies for data analyses is expected to yield better and reliable association data. By virtue of their relatively stronger impact on the phenotype compared to that of the common variants, rare variants are likely to be better candidates as markers of association as well as targets for intervention strategies while providing mechanistic insights into the underlying biological processes. Starting with discussion of the basics of single nucleotide variants, this review summarizes concepts and principles of approaches used to study their association with parameters in health and diseases including cancer. Implications for studies in Indian population are discussed.
人类健康和疾病中的单核苷酸多态性:解决一个难题
单核苷酸多态性,也被称为单核苷酸变异,仍然是人类基因组变异的最主要特征。数量多,稳定性好,存在频率易检测,使其成为人类健康和疾病关联研究中最合适的潜在标记物。对这些常见遗传变异的研究现在已经得到了发展,并引起了对不同小等位基因频率的不太常见的“罕见”变异的理解。人们接受罕见的单核苷酸变异在人类疾病中的作用,似乎与dbSNP中“突变”一词的逐步淘汰是一致的。稀有变异的贡献在很大程度上有助于解开复杂性状遗传力之谜。在技术创新和改进的数据分析策略的支持下,将罕见和常见变异的分析集成在一起,有望产生更好和可靠的关联数据。与常见变异相比,罕见变异对表型的影响相对更大,因此它们可能是更好的关联标记和干预策略目标的候选者,同时提供了对潜在生物学过程的机制见解。从讨论单核苷酸变异的基础开始,本文综述了用于研究它们与健康和疾病(包括癌症)参数关联的方法的概念和原理。讨论了对印度人口研究的启示。
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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