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Structural Architecture of SNP Effects on Complex Traits

机译:SNP对复杂性状的影响的结构体系结构

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摘要

Despite the discovery of copy-number variation (CNV) across the genome nearly 10 years ago, current SNP-based analysis methodologies continue to collapse the homozygous (i.e., A/A), hemizygous (i.e., A/0), and duplicative (i.e., A/A/A) genotype states, treating the genotype variable as irreducible or unaltered by other colocalizing forms of genetic (e.g., structural) variation. Our understanding of common, genome-wide CNVs suggests that the canonical genotype construct might belie the enormous complexity of the genome. Here we present multiple analyses of several phenotypes and provide methods supporting a conceptual shift that embraces the structural dimension of genotype. We comprehensively investigate the impact of the structural dimension of genotype on (1) GWAS methods, (2) interpretation of rare LOF variants, (3) characterization of genomic architecture, and (4) implications for snapping loci involved in complex disease. Taken together, these results argue for the inclusion of a structural dimension and suggest that some portion of the "missing" heritability might be recovered through integration of the structural dimension of SNP effects on complex traits.
机译:尽管近10年前在整个基因组中发现了拷贝数变异(CNV),但当前基于SNP的分析方法仍使纯合子(即A / A),半合子(即A / 0)和重复性( (例如A / A / A)基因型状态,将基因型变量视为不可改变或不受遗传(例如结构)变异的其他共定位形式的影响。我们对常见的全基因组CNV的理解表明,规范的基因型构建可能掩盖了基因组的巨大复杂性。在这里,我们介绍了几种表型的多种分析方法,并提供了支持涵盖基因型结构维度的概念转变的方法。我们全面研究了基因型的结构尺寸对(1)GWAS方法,(2)罕见LOF变体的解释,(3)基因组结构的表征以及(4)对于捕捉涉及复杂疾病的基因座的影响的影响。综上所述,这些结果主张包括结构维度,并建议通过整合SNP对复杂性状的影响的结构维度,可以弥补“缺失”遗传力的某些部分。

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