Genetic Causes of Disease Group, Genes and Disease Program, Center for Genomic Regulation (CRG-UPF) and CIBERESP, Barcelona, Catalonia, Spain.
PLoS One. 2009 Sep 30;4(9):e7230. doi: 10.1371/journal.pone.0007230.
Understanding the genetic contribution to phenotype variation of human groups is necessary to elucidate differences in disease predisposition and response to pharmaceutical treatments in different human populations.
METHODOLOGY/PRINCIPAL FINDINGS: We have investigated the genome-wide profile of structural variation on pooled samples from the three populations studied in the HapMap project by comparative genome hybridization (CGH) in different array platforms. We have identified and experimentally validated 33 genomic loci that show significant copy number differences from one population to the other. Interestingly, we found an enrichment of genes related to environment adaptation (immune response, lipid metabolism and extracellular space) within these regions and the study of expression data revealed that more than half of the copy number variants (CNVs) translate into gene-expression differences among populations, suggesting that they could have functional consequences. In addition, the identification of single nucleotide polymorphisms (SNPs) that are in linkage disequilibrium with the copy number alleles allowed us to detect evidences of population differentiation and recent selection at the nucleotide variation level.
Overall, our results provide a comprehensive view of relevant copy number changes that might play a role in phenotypic differences among major human populations, and generate a list of interesting candidates for future studies.
了解人类群体表型变异的遗传贡献对于阐明不同人群中疾病易感性和对药物治疗反应的差异是必要的。
方法/主要发现:我们通过比较基因组杂交(CGH)在不同的阵列平台上,研究了 HapMap 项目中三个研究人群的 pooled samples 的全基因组结构变异图谱。我们已经鉴定并实验验证了 33 个基因组位点,这些位点在一个人群与另一个人群之间存在显著的拷贝数差异。有趣的是,我们发现这些区域内富集了与环境适应(免疫反应、脂质代谢和细胞外空间)相关的基因,并且表达数据的研究表明,超过一半的拷贝数变异(CNVs)会导致人群之间的基因表达差异,这表明它们可能具有功能后果。此外,鉴定与拷贝数等位基因连锁不平衡的单核苷酸多态性(SNP),使我们能够在核苷酸变异水平上检测到人群分化和近期选择的证据。
总的来说,我们的结果提供了一个全面的视角,了解了可能在主要人类群体之间的表型差异中发挥作用的相关拷贝数变化,并生成了一个有趣的候选基因列表,供未来的研究。