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Rare-variant collapsing analyses for complex traits: guidelines and applications.
Nature Reviews Genetics ( IF 42.7 ) Pub Date : 2019-10-11 , DOI: 10.1038/s41576-019-0177-4
Gundula Povysil 1 , Slavé Petrovski 2, 3 , Joseph Hostyk 1 , Vimla Aggarwal 1 , Andrew S Allen 4 , David B Goldstein 1
Affiliation  

The first phase of genome-wide association studies (GWAS) assessed the role of common variation in human disease. Advances optimizing and economizing high-throughput sequencing have enabled a second phase of association studies that assess the contribution of rare variation to complex disease in all protein-coding genes. Unlike the early microarray-based studies, sequencing-based studies catalogue the full range of genetic variation, including the evolutionarily youngest forms. Although the experience with common variants helped establish relevant standards for genome-wide studies, the analysis of rare variation introduces several challenges that require novel analysis approaches.

中文翻译:

复杂特征的稀有变异折叠分析:指南和应用。

全基因组关联研究 (GWAS) 的第一阶段评估了常见变异在人类疾病中的作用。优化和节约高通量测序的进展使关联研究的第二阶段成为可能,该研究评估罕见变异对所有蛋白质编码基因中复杂疾病的贡献。与早期的基于微阵列的研究不同,基于测序的研究对所有的遗传变异进行了分类,包括进化上最年轻的形式。尽管常见变异的经验有助于建立全基因组研究的相关标准,但罕见变异的分析引入了一些需要新分析方法的挑战。
更新日期:2019-10-12
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