人类疾病中的复杂多等位基因拷贝数变异

Complex and multi-allelic copy number variation in human disease.

作者信息

Usher Christina L, McCarroll Steven A

出版信息

Brief Funct Genomics. 2015 Sep;14(5):329-38. doi: 10.1093/bfgp/elv028. Epub 2015 Jul 9.

Abstract

Hundreds of copy number variants are complex and multi-allelic, in that they have many structural alleles and have rearranged multiple times in the ancestors who contributed chromosomes to current humans. Not only are the relationships of these multi-allelic CNVs (mCNVs) to phenotypes generally unknown, but many mCNVs have not yet been described at the basic levels-alleles, allele frequencies, structural features-that support genetic investigation. To date, most reported disease associations to these variants have been ascertained through candidate gene studies. However, only a few associations have reached the level of acceptance defined by durable replications in many cohorts. This likely stems from longstanding challenges in making precise molecular measurements of the alleles individuals have at these loci. However, approaches for mCNV analysis are improving quickly, and some of the unique characteristics of mCNVs may assist future association studies. Their various structural alleles are likely to have different magnitudes of effect, creating a natural allelic series of growing phenotypic impact and giving investigators a set of natural predictions and testable hypotheses about the extent to which each allele of an mCNV predisposes to a phenotype. Also, mCNVs' low-to-modest correlation to individual single-nucleotide polymorphisms (SNPs) may make it easier to distinguish between mCNVs and nearby SNPs as the drivers of an association signal, and perhaps, make it possible to preliminarily screen candidate loci, or the entire genome, for the many mCNV-disease relationships that remain to be discovered.

摘要

数百个拷贝数变异是复杂的且具有多个等位基因,也就是说它们有许多结构等位基因,并且在为当代人类贡献染色体的祖先中经历了多次重排。这些多等位基因拷贝数变异(mCNV)与表型之间的关系通常尚不清楚,而且许多mCNV在支持基因研究的基本层面——等位基因、等位基因频率、结构特征——上尚未得到描述。迄今为止,大多数报道的这些变异与疾病的关联是通过候选基因研究确定的。然而,只有少数关联在多个队列中通过持久重复达到了被认可的水平。这可能源于在精确测量个体在这些位点所拥有的等位基因时长期存在的挑战。然而,mCNV分析方法正在迅速改进,mCNV的一些独特特征可能有助于未来的关联研究。它们的各种结构等位基因可能具有不同程度的效应,形成一个表型影响不断增加的自然等位基因系列,为研究人员提供了一组关于mCNV的每个等位基因导致某种表型的程度的自然预测和可检验假设。此外,mCNV与个体单核苷酸多态性(SNP)的低至中等相关性可能使区分mCNV和附近SNP作为关联信号的驱动因素变得更容易,也许还能够对许多有待发现的mCNV与疾病的关系进行候选位点或整个基因组的初步筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3905/4576757/13c48b47130a/elv028f1p.jpg

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