Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine University of Cape Town, Private Bag, Rondebosch, 7700 Cape Town, South Africa.
Hum Mol Genet. 2020 Jan 1;29(1):168-176. doi: 10.1093/hmg/ddz258.
Estimating single nucleotide polymorphism (SNP)-heritability (h2g) of severe malaria resistance and its distribution across the genome might shed new light in to the underlying biology.
We investigated h2g of severe malaria resistance from a genome-wide association study (GWAS) dataset (sample size = 11 657). We estimated the h2g and partitioned in to chromosomes, allele frequencies and annotations using the genetic relationship-matrix restricted maximum likelihood approach. We further examined non-cell type-specific and cell type-specific enrichments from GWAS-summary statistics.
The h2g of severe malaria resistance was estimated at 0.21 (se = 0.05, P = 2.7 × 10-5), 0.20 (se = 0.05, P = 7.5 × 10-5) and 0.17 (se = 0.05, P = 7.2 × 10-4) in Gambian, Kenyan and Malawi populations, respectively. A comparable range of h2g [0.21 (se = 0.02, P < 1 × 10-5)] was estimated from GWAS-summary statistics meta-analysed across the three populations. Partitioning analysis from raw genotype data showed significant enrichment of h2g in genic SNPs while summary statistics analysis suggests evidences of enrichment in multiple categories. Supporting the polygenic inheritance, the h2g of severe malaria resistance is distributed across the chromosomes and allelic frequency spectrum. However, the h2g is disproportionately concentrated on three chromosomes (chr 5, 11 and 20), suggesting cost-effectiveness of targeting these chromosomes in future malaria genomic sequencing studies.
We report for the first time that the heritability of malaria resistance is largely ascribed by common SNPs and the causal variants are overrepresented in protein coding regions of the genome. Further studies with larger sample sizes are needed to better understand the underpinning genetics of severe malaria resistance.
估计严重疟疾抗性的单核苷酸多态性 (SNP)-遗传力 (h2g) 及其在基因组中的分布,可能会为潜在生物学提供新的线索。
我们从全基因组关联研究 (GWAS) 数据集 (样本量=11657) 中研究了严重疟疾抗性的 h2g。我们使用遗传关系矩阵限制最大似然方法估计了 h2g,并将其分为染色体、等位基因频率和注释。我们进一步从 GWAS 汇总统计数据中检查了非细胞类型特异性和细胞类型特异性富集。
在冈比亚、肯尼亚和马拉维人群中,严重疟疾抗性的 h2g 分别估计为 0.21(se=0.05,P=2.7×10-5)、0.20(se=0.05,P=7.5×10-5)和 0.17(se=0.05,P=7.2×10-4)。在这三个人群中,从 GWAS 汇总统计数据的meta 分析中估计出了类似范围的 h2g[0.21(se=0.02,P<1×10-5)]。从原始基因型数据的分区分析显示,h2g 在基因 SNP 中显著富集,而汇总统计数据分析表明在多个类别中存在富集的证据。支持多基因遗传,严重疟疾抗性的 h2g 分布在染色体和等位基因频率谱上。然而,h2g 主要集中在三个染色体上(chr5、11 和 20),这表明在未来的疟疾基因组测序研究中靶向这些染色体具有成本效益。
我们首次报告,疟疾抗性的遗传力主要归因于常见 SNP,并且这些因果变异在基因组的蛋白质编码区域中过表达。需要更大样本量的进一步研究,以更好地理解严重疟疾抗性的潜在遗传学。