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基于芯片的全基因组关联研究中编码变异的直接基因分型:实用性、问题和前景。

Chip-based direct genotyping of coding variants in genome wide association studies: utility, issues and prospects.

机构信息

Department of Psychiatry, University of California, San Diego; VA Center of Excellence for Stress and Mental Health, VA San Diego.

Scripps Genomic Medicine, Scripps Health; The Scripps Translational Science Institute, The Scripps Research Institute.

出版信息

Gene. 2014 Apr 25;540(1):104-9. doi: 10.1016/j.gene.2014.01.069. Epub 2014 Feb 9.

Abstract

There is considerable debate about the most efficient way to interrogate rare coding variants in association studies. The options include direct genotyping of specific known coding variants in genes or, alternatively, sequencing across the entire exome to capture known as well as novel variants. Each strategy has advantages and disadvantages, but the availability of cost-efficient exome arrays has made the former appealing. Here we consider the utility of a direct genotyping chip, the Illumina HumanExome array (HE), by evaluating its content based on: 1. functionality; and 2. amenability to imputation. We explored these issues by genotyping a large, ethnically diverse cohort on the HumanOmniExpressExome array (HOEE) which combines the HE with content from the GWAS array (HOE). We find that the use of the HE is likely to be a cost-effective way of expanding GWAS, but does have some drawbacks that deserve consideration when planning studies.

摘要

关于在关联研究中最有效地检测罕见编码变异的方法存在很大争议。选择包括直接对基因中的特定已知编码变异进行基因分型,或者对整个外显子组进行测序,以捕获已知和新的变异。每种策略都有其优缺点,但成本效益高的外显子组芯片的出现使得前者更具吸引力。在这里,我们通过评估 Illumina HumanExome 阵列(HE)的基于:1. 功能;2. 可用于推测。我们通过在 HumanOmniExpressExome 阵列(HOEE)上对一个大型的、种族多样化的队列进行基因分型来探索这些问题,该阵列将 HE 与 GWAS 阵列(HOE)的内容相结合。我们发现,使用 HE 可能是扩展 GWAS 的一种具有成本效益的方法,但确实存在一些缺点,在计划研究时值得考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ff/3980715/6c5266a3c4d6/nihms568901f1.jpg

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