Ryu Seungjin, Han Jeehae, Norden-Krichmar Trina M, Schork Nicholas J, Suh Yousin
Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
The Scripps Research Institute, La Jolla, CA 92037, USA.
Mutat Res. 2018 May;809:24-31. doi: 10.1016/j.mrfmmm.2018.03.007. Epub 2018 Mar 30.
Identification of all genetic variants associated with complex traits is one of the most important goals in modern human genetics. Genome-wide association studies (GWAS) have been successfully applied to identify common variants, which thus far explain only small portion of heritability. Interests in rare variants have been increasingly growing as an answer for this missing heritability. While next-generation sequencing allows detection of rare variants, its cost is still prohibitively high to sequence a large number of human DNA samples required for rare variant association studies. In this study, we evaluated the sensitivity and specificity of sequencing for pooled DNA samples of multiple individuals (Pool-seq) as a cost-effective and robust approach for rare variant discovery. We comparatively analyzed Pool-seq vs. individual-seq of indexed target capture of up to 960 genes in ∼1000 individuals, followed by independent genotyping validation studies. We found that Pool-seq was as effective and accurate as individual-seq in detecting rare variants and accurately estimating their minor allele frequencies (MAFs). Our results suggest that Pool-seq can be used as an efficient and cost-effective method for discovery of rare variants for population-based sequencing studies in individual laboratories.
识别与复杂性状相关的所有遗传变异是现代人类遗传学最重要的目标之一。全基因组关联研究(GWAS)已成功应用于识别常见变异,然而迄今为止,这些变异仅解释了一小部分遗传力。作为对这种缺失遗传力的一种解决方案,人们对罕见变异的兴趣日益增加。虽然下一代测序能够检测罕见变异,但其成本对于罕见变异关联研究所需的大量人类DNA样本测序来说仍然高得令人望而却步。在本研究中,我们评估了对多个个体的混合DNA样本进行测序(Pool-seq)的敏感性和特异性,将其作为一种经济高效且可靠的罕见变异发现方法。我们对约1000个个体中多达960个基因的索引目标捕获的Pool-seq与个体测序进行了比较分析,随后进行了独立的基因分型验证研究。我们发现,Pool-seq在检测罕见变异和准确估计其次要等位基因频率(MAF)方面与个体测序一样有效和准确。我们的结果表明,Pool-seq可作为一种高效且经济的方法,用于个体实验室基于人群的测序研究中罕见变异的发现。