Parolo Silvia, Lisa Antonella, Gentilini Davide, Di Blasio Anna Maria, Barlera Simona, Nicolis Enrico B, Boncoraglio Giorgio B, Parati Eugenio A, Bione Silvia
Computational Biology Unit, Institute of Molecular Genetics-National Research Council, Pavia, Italy.
Molecular Biology Laboratory, Istituto Auxologico Italiano, Milan, Italy.
BMC Genet. 2015 Nov 9;16:132. doi: 10.1186/s12863-015-0293-x.
The genetic structure of human populations is the outcome of the combined action of different processes such as demographic dynamics and natural selection. Several efforts toward the characterization of population genetic architectures and the identification of adaptation signatures were recently made. In this study, we provide a genome-wide depiction of the Italian population structure and the analysis of the major determinants of the current existing genetic variation.
We defined and characterized 210 genomic loci associated with the first Principal Component calculated on the Italian genotypic data and correlated to the North-south genetic gradient. Using a gene-enrichment approach we identified the immune function as primarily involved in the Italian population differentiation and we described a locus on chromosome 13 showing combined evidence of North-south diversification in allele frequencies and signs of recent positive selection. In this region our bioinformatics analysis pinpointed an uncharacterized long intergenic non-coding (lincRNA), whose expression appeared specific for immune-related tissues suggesting its relevance for the immune function.
Our study, combining population genetic analyses with biological insights provides a description of the Italian genetic structure that in future could contribute to the evaluation of complex diseases risk in the population context.
人类群体的遗传结构是人口动态和自然选择等不同过程共同作用的结果。最近人们为表征群体遗传结构和识别适应性特征做出了多项努力。在本研究中,我们提供了意大利人群体结构的全基因组描述,并分析了当前现有遗传变异的主要决定因素。
我们定义并表征了210个基因组位点,这些位点与根据意大利基因型数据计算出的第一主成分相关,并与南北遗传梯度相关。使用基因富集方法,我们确定免疫功能主要参与了意大利人群体分化,并且我们描述了13号染色体上的一个位点,该位点显示出等位基因频率的南北差异以及近期正选择迹象的综合证据。在该区域,我们的生物信息学分析确定了一个未表征的长链基因间非编码(lincRNA),其表达似乎对免疫相关组织具有特异性,表明其与免疫功能相关。
我们的研究将群体遗传分析与生物学见解相结合,提供了意大利遗传结构的描述,这在未来可能有助于在群体背景下评估复杂疾病风险。