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首个在贝宁两个出生队列中进行的非重症疟疾全基因组关联研究。

First genome-wide association study of non-severe malaria in two birth cohorts in Benin.

机构信息

Université de Paris, MERIT, IRD, F-75006, Paris, France.

Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, 91057, Evry, France.

出版信息

Hum Genet. 2019 Dec;138(11-12):1341-1357. doi: 10.1007/s00439-019-02079-5. Epub 2019 Oct 30.

Abstract

Recent research efforts to identify genes involved in malaria susceptibility using genome-wide approaches have focused on severe malaria. Here, we present the first GWAS on non-severe malaria designed to identify genetic variants involved in innate immunity or innate resistance mechanisms. Our study was performed on two cohorts of infants from southern Benin (525 and 250 individuals used as discovery and replication cohorts, respectively) closely followed from birth to 18-24 months of age, with an assessment of a space- and time-dependent environmental risk of exposure. Both the recurrence of mild malaria attacks and the recurrence of malaria infections as a whole (symptomatic and asymptomatic) were considered. Post-GWAS functional analyses were performed using positional, eQTL, and chromatin interaction mapping to identify the genes underlying association signals. Our study highlights a role of PTPRT, a tyrosine phosphatase receptor involved in STAT3 pathway, in the protection against both mild malaria attacks and malaria infections (p = 9.70 × 10 and p = 1.78 × 10, respectively, in the discovery cohort). Strong statistical support was also found for a role of MYLK4 (meta-analysis, p = 5.29 × 10 with malaria attacks), and for several other genes, whose biological functions are relevant in malaria infection. Results shows that GWAS on non-severe malaria can successfully identify new candidate genes and inform physiological mechanisms underlying natural protection against malaria.

摘要

最近,使用全基因组方法识别疟疾易感性相关基因的研究工作集中在严重疟疾上。在这里,我们首次进行了针对非严重疟疾的 GWAS,旨在鉴定与先天免疫或先天抵抗机制相关的遗传变异。我们的研究在贝宁南部的两个婴儿队列中进行(分别使用 525 名和 250 名个体作为发现和复制队列),从出生开始密切跟踪至 18-24 个月大,评估了与时间和空间相关的环境暴露风险。复发的轻度疟疾发作和整体疟疾感染(有症状和无症状)均被视为研究对象。进行了后 GWAS 功能分析,使用位置、eQTL 和染色质相互作用映射来识别关联信号背后的基因。我们的研究强调了 PTPRT 的作用,PTPRT 是一种参与 STAT3 途径的酪氨酸磷酸酶受体,它在预防轻度疟疾发作和疟疾感染方面都具有保护作用(在发现队列中,分别为 p = 9.70×10 和 p = 1.78×10)。对 MYLK4(荟萃分析,p = 5.29×10 与疟疾发作)和其他几个基因也有很强的统计学支持,它们的生物学功能与疟疾感染有关。结果表明,非严重疟疾的 GWAS 可以成功识别新的候选基因,并为自然抵抗疟疾的生理机制提供信息。

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