An Integrative Analysis of Structural Variation for the 1000 Genomes Project

描述（由申请人提供）：结构变异（Structural variation， SV）涉及DNA片段的缺失、重复、插入和倒位，在人类遗传多样性中占很大比例。对这些遗传变异的全面鉴定和分析将有助于我们更充分地阐明它们对人类健康和人口统计学的功能影响的生物学。尽管最近取得了进展，但全面识别所有类型的sv、每种变异的基因型、整合和分阶段这些变异所需的工具和数据仍然缺乏。事实上，1000基因组计划（1000GP）早期阶段发布的数据（1000基因组计划联盟，2010年；1000基因组计划联盟，2012年）主要偏向于检测基因组中相对独特区域的缺失。作为一个联盟，我们建议汇集来自不同研究小组的专业知识，通过将严格的计算算法开发与广泛的实验验证相结合，提供SVs的综合分析。我们开发的新算法和获得的SVs高置信度列表将迅速作为公共资源提供。

DESCRIPTION (provided by applicant): Structural variation (SV), involving deletions, duplications, insertions and inversions of DNA segments, accounts for a large proportion of human genetic diversity. Comprehensive identification and analysis of these genetic variants will help us more fully elucidate the biology of their functional effects on human health and demography. Despite recent advances, the tools and data needed to comprehensively identify all types of SVs, genotype each variant, integrate and phase these variants remain lacking. Indeed, the data released from the early phases of the 1000 Genomes Project (1000GP) (1000 Genomes Project Consortium, 2010; 1000 Genomes Project Consortium, 2012) are biased primarily towards the detection of deletions within relatively unique regions of the genome. As a consortium, we propose to pool expertise from various research groups to provide an integrative analysis of SVs by combining rigorous computational algorithmic development with extensive experimental validation. The new algorithms we develop and the high confidence lists of SVs obtained will be rapidly made available as a public resource.