Istituto di Genetica delle Popolazioni-CNR, Sassari, Italy.
PLoS Genet. 2011 Jan 20;7(1):e1001281. doi: 10.1371/journal.pgen.1001281.
In contrast to large GWA studies based on thousands of individuals and large meta-analyses combining GWAS results, we analyzed a small case/control sample for uric acid nephrolithiasis. Our cohort of closely related individuals is derived from a small, genetically isolated village in Sardinia, with well-characterized genealogical data linking the extant population up to the 16(th) century. It is expected that the number of risk alleles involved in complex disorders is smaller in isolated founder populations than in more diverse populations, and the power to detect association with complex traits may be increased when related, homogeneous affected individuals are selected, as they are more likely to be enriched with and share specific risk variants than are unrelated, affected individuals from the general population. When related individuals are included in an association study, correlations among relatives must be accurately taken into account to ensure validity of the results. A recently proposed association method uses an empirical genotypic covariance matrix estimated from genome-screen data to allow for additional population structure and cryptic relatedness that may not be captured by the genealogical data. We apply the method to our data, and we also investigate the properties of the method, as well as other association methods, in our highly inbred population, as previous applications were to outbred samples. The more promising regions identified in our initial study in the genetic isolate were then further investigated in an independent sample collected from the Italian population. Among the loci that showed association in this study, we observed evidence of a possible involvement of the region encompassing the gene LRRC16A, already associated to serum uric acid levels in a large meta-analysis of 14 GWAS, suggesting that this locus might lead a pathway for uric acid metabolism that may be involved in gout as well as in nephrolithiasis.
与基于数千个体的大型全基因组关联研究(GWA)和结合 GWAS 结果的大型荟萃分析相比,我们分析了一个尿酸肾结石的小病例对照样本。我们的相关个体队列来自撒丁岛的一个小而遗传隔离的村庄,具有良好的系谱数据,将现存人口追溯到 16 世纪。可以预期,与复杂疾病相关的风险等位基因数量在隔离的创始人群体中比在更多样化的人群中要少,并且当选择相关的、同质的受影响个体时,检测与复杂特征的关联的能力可能会增加,因为与来自一般人群的无关受影响个体相比,他们更有可能富集和共享特定的风险变体。当相关个体被纳入关联研究中时,必须准确考虑亲属之间的相关性,以确保结果的有效性。最近提出的一种关联方法使用从全基因组筛选数据估计的经验基因型协方差矩阵,以允许额外的群体结构和可能无法通过系谱数据捕获的隐性相关性。我们将该方法应用于我们的数据,并且还研究了该方法以及我们高度同系的人群中的其他关联方法的特性,因为之前的应用是针对杂种样本。在我们在遗传隔离体中的初始研究中确定的更有希望的区域,然后在从意大利人群中收集的独立样本中进一步研究。在这项研究中显示关联的基因座中,我们观察到可能涉及包含基因 LRRC16A 的区域的证据,该基因已经在对 14 个 GWAS 的大型荟萃分析中与血清尿酸水平相关联,这表明该基因座可能会导致尿酸代谢途径,该途径可能与痛风以及肾结石有关。