Andrei-Emil Constantinescu, David A Hughes, Caroline J Bull, Kathryn Fleming, Ruth E Mitchell, Jie Zheng, Siddhartha Kar, Nicholas J Timpson, Borko Amulic, Emma E Vincent
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Individuals living in malaria endemic regions often have a reduced circulating neutrophil count due to BEN, raising the possibility that reduced neutrophil counts modulate severity of malaria in susceptible populations. As a follow-up, we tested this hypothesis by conducting a Mendelian randomization (MR) analysis of neutrophil counts on severe malaria (MalariaGEN, N = 17,056).</p><p><strong>Results: </strong>We carried out a GWAS of neutrophil count in individuals associated to an African continental ancestry group within UK Biobank, identifying 73 loci (r<sup>2</sup> = 0.1) and 10 index SNPs (GCTA-COJO loci) associated with neutrophil count, including previously unknown rare loci regulating neutrophil count in a non-European population. BOLT-LMM was reliable when conducted in a non-European population, and additional covariates added to the model did not largely alter the results of the top loci or index SNPs. 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引用次数: 0
摘要
背景:"良性种族中性粒细胞减少症"(BEN)是一种遗传性疾病,其特点是中性粒细胞计数较低,主要见于非洲血统的个体,而 BEN 的遗传基础仍是一个广泛研究的课题。在本研究中,我们旨在通过线性混合模型全基因组关联研究(GWAS),在非洲血统人群(N = 5976)中剖析中性粒细胞计数变异的遗传结构。由恶性疟原虫引起的疟疾给撒哈拉以南非洲地区的居民带来了巨大的公共卫生负担。生活在疟疾流行地区的人通常会因 BEN 而导致循环中性粒细胞数量减少,这就提出了一种可能性,即中性粒细胞数量的减少会调节易感人群中疟疾的严重程度。作为后续研究,我们对中性粒细胞计数对重症疟疾的影响进行了孟德尔随机分析(MR),从而验证了这一假设(MalariaGEN,N = 17,056):我们对英国生物库中与非洲大陆血统组相关的个体的中性粒细胞计数进行了GWAS分析,确定了与中性粒细胞计数相关的73个位点(r2 = 0.1)和10个指数SNPs(GCTA-COJO位点),其中包括之前未知的在非欧洲人群中调节中性粒细胞计数的罕见位点。在非欧洲人群中进行 BOLT-LMM 分析是可靠的,模型中添加的其他协变量在很大程度上不会改变顶级位点或指数 SNP 的结果。中性粒细胞计数与严重疟疾之间的双向MR分析显示,中性粒细胞计数与严重贫血之间的效应证据最多,但置信区间越过了空值:我们的中性粒细胞计数基因组学分析揭示了存在于非洲血统个体中的独特基因位点。我们注意到,在我们的 GWAS 中,小样本量降低了我们识别低等位基因频率和/或低效应大小变异的能力。我们的工作强调了在非洲开展大规模生物库研究以及进一步探索中性粒细胞与重症疟疾之间联系的必要性。
A genome-wide association study of neutrophil count in individuals associated to an African continental ancestry group facilitates studies of malaria pathogenesis.
Background: 'Benign ethnic neutropenia' (BEN) is a heritable condition characterized by lower neutrophil counts, predominantly observed in individuals of African ancestry, and the genetic basis of BEN remains a subject of extensive research. In this study, we aimed to dissect the genetic architecture underlying neutrophil count variation through a linear-mixed model genome-wide association study (GWAS) in a population of African ancestry (N = 5976). Malaria caused by P. falciparum imposes a tremendous public health burden on people living in sub-Saharan Africa. Individuals living in malaria endemic regions often have a reduced circulating neutrophil count due to BEN, raising the possibility that reduced neutrophil counts modulate severity of malaria in susceptible populations. As a follow-up, we tested this hypothesis by conducting a Mendelian randomization (MR) analysis of neutrophil counts on severe malaria (MalariaGEN, N = 17,056).
Results: We carried out a GWAS of neutrophil count in individuals associated to an African continental ancestry group within UK Biobank, identifying 73 loci (r2 = 0.1) and 10 index SNPs (GCTA-COJO loci) associated with neutrophil count, including previously unknown rare loci regulating neutrophil count in a non-European population. BOLT-LMM was reliable when conducted in a non-European population, and additional covariates added to the model did not largely alter the results of the top loci or index SNPs. The two-sample bi-directional MR analysis between neutrophil count and severe malaria showed the greatest evidence for an effect between neutrophil count and severe anaemia, although the confidence intervals crossed the null.
Conclusion: Our GWAS of neutrophil count revealed unique loci present in individuals of African ancestry. We note that a small sample-size reduced our power to identify variants with low allele frequencies and/or low effect sizes in our GWAS. Our work highlights the need for conducting large-scale biobank studies in Africa and for further exploring the link between neutrophils and severe malaria.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.