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首页> 外文期刊>PLoS Genetics >Fine Mapping of Five Loci Associated with Low-Density Lipoprotein Cholesterol Detects Variants That Double the Explained Heritability
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Fine Mapping of Five Loci Associated with Low-Density Lipoprotein Cholesterol Detects Variants That Double the Explained Heritability

机译:与低密度脂蛋白胆固醇相关的五个基因座的精细作图可检测到使遗传力加倍的变异

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Complex trait genome-wide association studies (GWAS) provide an efficient strategy for evaluating large numbers of common variants in large numbers of individuals and for identifying trait-associated variants. Nevertheless, GWAS often leave much of the trait heritability unexplained. We hypothesized that some of this unexplained heritability might be due to common and rare variants that reside in GWAS identified loci but lack appropriate proxies in modern genotyping arrays. To assess this hypothesis, we re-examined 7 genes ( APOE , APOC1 , APOC2 , SORT1 , LDLR , APOB , and PCSK9 ) in 5 loci associated with low-density lipoprotein cholesterol (LDL-C) in multiple GWAS. For each gene, we first catalogued genetic variation by re-sequencing 256 Sardinian individuals with extreme LDL-C values. Next, we genotyped variants identified by us and by the 1000 Genomes Project (totaling 3,277 SNPs) in 5,524 volunteers. We found that in one locus ( PCSK9 ) the GWAS signal could be explained by a previously described low-frequency variant and that in three loci ( PCSK9 , APOE , and LDLR ) there were additional variants independently associated with LDL-C, including a novel and rare LDLR variant that seems specific to Sardinians. Overall, this more detailed assessment of SNP variation in these loci increased estimates of the heritability of LDL-C accounted for by these genes from 3.1% to 6.5%. All association signals and the heritability estimates were successfully confirmed in a sample of ~10,000 Finnish and Norwegian individuals. Our results thus suggest that focusing on variants accessible via GWAS can lead to clear underestimates of the trait heritability explained by a set of loci. Further, our results suggest that, as prelude to large-scale sequencing efforts, targeted re-sequencing efforts paired with large-scale genotyping will increase estimates of complex trait heritability explained by known loci. Author Summary Despite the striking success of genome-wide association studies in identifying genetic loci associated with common complex traits and diseases, much of the heritable risk for these traits and diseases remains unexplained. A higher resolution investigation of the genome through sequencing studies is expected to clarify the sources of this missing heritability. As a preview of what we might learn in these more detailed assessments of genetic variation, we used sequencing to identify potentially interesting variants in seven genes associated with low-density lipoprotein cholesterol (LDL-C) in 256 Sardinian individuals with extreme LDL-C levels, followed by large scale genotyping in 5,524 individuals, to examine newly discovered and previously described variants. We found that a combination of common and rare variants in these loci contributes to variation in LDL-C levels, and also that the initial estimate of the heritability explained by these loci doubled. Importantly, our results include a Sardinian-specific rare variant, highlighting the need for sequencing studies in isolated populations. Our results provide insights about what extensive whole-genome sequencing efforts are likely to reveal for the understanding of the genetic architecture of complex traits.
机译:复杂性状全基因组关联研究(GWAS)提供了一种有效的策略,用于评估大量个体中的大量常见变异并鉴定与特征相关的变异。然而,GWAS通常使很多特征遗传力无法解释。我们假设这种无法解释的遗传力可能是由于GWAS鉴定的基因座中存在常见且罕见的变异,但在现代基因分型阵列中缺少适当的代理。为了评估该假设,我们在多个GWAS中的5个低密度脂蛋白胆固醇(LDL-C)相关位点中重新检查了7个基因(APOE,APOC1,APOC2,SORT1,LDLR,APOB和PCSK9)。对于每个基因,我们首先通过对具有极端LDL-C值的256个撒丁岛个体进行重新排序来对遗传变异进行分类。接下来,我们对我们和1000个基因组计划(总计3277个SNP)在5,524名志愿者中鉴定出的变体进行了基因分型。我们发现,在一个基因座(PCSK9)中,GWAS信号可以用先前描述的低频变体来解释,而在三个基因座(PCSK9,APOE和LDLR)中,还有与LDL-C独立相关的其他变体,包括一个新的罕见的LDLR变种,似乎是撒丁岛人所特有的。总体而言,这些基因座中SNP变异的更详细评估将这些基因占LDL-C遗传力的估计值从3.1%提高到了6.5%。在约10,000名芬兰和挪威人的样本中成功确认了所有关联信号和遗传力估计。因此,我们的结果表明,关注通过GWAS可访问的变体可能导致一组基因座所解释的性状遗传力的明显低估。此外,我们的结果表明,作为大规模测序工作的序幕,有针对性的重测序工作与大规模基因分型相结合将增加对已知基因座所解释的复杂性状遗传力的估计。作者概述尽管全基因组关联研究在鉴定与常见复杂性状和疾病相关的遗传基因座方面取得了巨大成功,但仍无法解释这些性状和疾病的许多遗传风险。期望通过测序研究对基因组进行更高分辨率的研究,以弄清这种缺失的遗传力的来源。作为我们在这些更详细的遗传变异评估中可能学到的内容的预览,我们使用了测序方法来鉴定256个撒丁岛极端LDL-C水平较低的个体中与低密度脂蛋白胆固醇(LDL-C)相关的七个基因中潜在有趣的变异,然后在5,524个个体中进行大规模基因分型,以检查新发现和先前描述的变体。我们发现这些基因座中常见和稀有变体的组合会导致LDL-C水平发生变化,而且这些基因座所解释的遗传力的初始估计值也增加了一倍。重要的是,我们的结果包括一个撒丁岛特有的稀有变种,这凸显了在孤立人群中进行测序研究的必要性。我们的结果提供了有关广泛的全基因组测序工作可能会揭示出的哪些信息,以了解复杂性状的遗传结构。

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