Department of Genetics and Biology, School of Medicine and School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Hum Genet. 2013 Sep;132(9):987-99. doi: 10.1007/s00439-013-1284-5. Epub 2013 Apr 23.
Malaria is one of the strongest selective pressures in recent human evolution. African populations have been and continue to be at risk for malarial infections. However, few studies have re-sequenced malaria susceptibility loci across geographically and genetically diverse groups in Africa. We examined nucleotide diversity at Intercellular adhesion molecule-1 (ICAM-1), a malaria susceptibility candidate locus, in a number of human populations with a specific focus on diverse African ethnic groups. We used tests of neutrality to assess whether natural selection has impacted this locus and tested whether SNP variation at ICAM-1 is correlated with malaria endemicity. We observe differing patterns of nucleotide and haplotype variation in global populations and higher levels of diversity in Africa. Although we do not observe a deviation from neutrality based on the allele frequency distribution, we do observe several alleles at ICAM-1, including the ICAM-1 (Kilifi) allele, that are correlated with malaria endemicity. We show that the ICAM-1 (Kilifi) allele, which is common in Africa and Asia, exists on distinct haplotype backgrounds and is likely to have arisen more recently in Asia. Our results suggest that correlation analyses of allele frequencies and malaria endemicity may be useful for identifying candidate functional variants that play a role in malaria resistance and susceptibility.
疟疾是人类近代进化过程中最强有力的选择压力之一。非洲人群一直并将继续面临疟疾感染的风险。然而,很少有研究对非洲不同地理和遗传群体中的疟疾易感性基因座进行重新测序。我们在多个人群中研究了细胞间黏附分子-1(ICAM-1)的核苷酸多样性,该基因座是疟疾易感性的候选基因座,特别关注了多样化的非洲族群。我们使用中性检验来评估自然选择是否对该基因座产生了影响,并检验了 ICAM-1 的 SNP 变异是否与疟疾流行程度相关。我们观察到全球人群中核苷酸和单倍型变异的模式不同,而非洲的多样性水平更高。尽管我们没有根据等位基因频率分布观察到偏离中性,但我们确实观察到了几个与疟疾流行程度相关的 ICAM-1 等位基因,包括在非洲和亚洲都很常见的 ICAM-1(基利菲)等位基因。我们表明,在亚洲常见的 ICAM-1(基利菲)等位基因存在于不同的单倍型背景上,并且很可能是最近在亚洲出现的。我们的结果表明,对等位基因频率与疟疾流行程度的相关性分析可能有助于识别在疟疾抗性和易感性中起作用的候选功能变体。