Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Hum Mol Genet. 2010 Oct 15;19(20):4112-20. doi: 10.1093/hmg/ddq327. Epub 2010 Aug 5.
Family-based linkage analysis has been a powerful tool for identification of genes contributing to traits with monogenic patterns of inheritance. These approaches have been of limited utility in identification of genes underlying complex traits. In contrast, searches for common genetic variants associated with complex traits have been highly successful. It is now widely recognized that common variations frequently explain only part of the inter-individual variation in populations. 'Rare' genetic variants have been hypothesized to contribute significantly to phenotypic variation in the population. We have developed a combination of family-based linkage, whole-exome sequencing, direct sequencing and association methods to efficiently identify rare variants of large effect. Key to the successful application of the method was the recognition that only a few families in a sample contribute significantly to a linkage signal. Thus, a search for mutations can be targeted to a small number of families in a chromosome interval restricted to the linkage peak. This approach has been used to identify a rare (1.1%) G45R mutation in the gene encoding adiponectin, ADIPOQ. This variant explains a strong linkage signal (LOD > 8.0) and accounts for ∼17% of the variance in plasma adiponectin levels in a sample of 1240 Hispanic Americans and 63% of the variance in families carrying the mutation. Individuals carrying the G45R mutation have mean adiponectin levels that are 19% of non-carriers. We propose that rare variants may be a common explanation for linkage peaks observed in complex trait genetics. This approach is applicable to a wide range of family studies and has potential to be a discovery tool for identification of novel genes influencing complex traits.
基于家系的连锁分析一直是鉴定具有单基因遗传模式的性状相关基因的有力工具。这些方法在鉴定复杂性状的基因方面的应用非常有限。相比之下,寻找与复杂性状相关的常见遗传变异已经取得了巨大成功。现在人们普遍认识到,常见的变异通常只能解释人群中个体间变异的一部分。“罕见”的遗传变异被假设为对人群表型变异有重要贡献。我们开发了一种结合基于家系的连锁分析、全外显子组测序、直接测序和关联方法的策略,以有效地鉴定具有大效应的罕见变异。该方法成功应用的关键是认识到,在一个样本中,只有少数几个家系对连锁信号有显著贡献。因此,可以将突变搜索的目标集中在连锁峰所限制的染色体区间内的少数几个家系上。这种方法已被用于鉴定编码脂联素的基因 ADIPOQ 中罕见的(1.1%)G45R 突变。该变体解释了一个强烈的连锁信号(LOD > 8.0),并解释了 1240 名西班牙裔美国人样本中脂联素水平的 17%的变异,以及携带突变的家系中 63%的变异。携带 G45R 突变的个体的脂联素水平平均为非携带者的 19%。我们提出,罕见变异可能是复杂性状遗传学中观察到的连锁峰的常见解释。这种方法适用于广泛的家系研究,具有成为鉴定影响复杂性状的新基因的发现工具的潜力。