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人类基因组测序时代的基因组分析。

Genomic Analysis in the Age of Human Genome Sequencing.

机构信息

New York Genome Center, New York, NY, USA; Department of Systems Biology, Columbia University, New York, NY, USA.

McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.

出版信息

Cell. 2019 Mar 21;177(1):70-84. doi: 10.1016/j.cell.2019.02.032.

Abstract

Affordable genome sequencing technologies promise to revolutionize the field of human genetics by enabling comprehensive studies that interrogate all classes of genome variation, genome-wide, across the entire allele frequency spectrum. Ongoing projects worldwide are sequencing many thousands-and soon millions-of human genomes as part of various gene mapping studies, biobanking efforts, and clinical programs. However, while genome sequencing data production has become routine, genome analysis and interpretation remain challenging endeavors with many limitations and caveats. Here, we review the current state of technologies for genetic variant discovery, genotyping, and functional interpretation and discuss the prospects for future advances. We focus on germline variants discovered by whole-genome sequencing, genome-wide functional genomic approaches for predicting and measuring variant functional effects, and implications for studies of common and rare human disease.

摘要

平价基因组测序技术有望彻底改变人类遗传学领域,使我们能够全面研究全基因组范围内各种基因组变异类型,涵盖整个等位基因频率谱。目前,世界各地的许多项目都在对数千个——很快将是数百万个——人类基因组进行测序,这些基因组测序是作为各种基因图谱研究、生物库研究和临床项目的一部分。然而,尽管基因组测序数据的产生已经成为常规操作,但基因组分析和解释仍然是具有许多限制和注意事项的具有挑战性的工作。在这里,我们回顾了目前用于遗传变异发现、基因分型和功能解释的技术,并讨论了未来进展的前景。我们重点关注全基因组测序发现的种系变异、用于预测和测量变异功能效应的全基因组功能基因组方法,以及它们对常见和罕见人类疾病研究的影响。

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