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婴儿隐孢子虫病的全基因组关联研究提示.

Genome-Wide Association Study of Cryptosporidiosis in Infants Implicates .

机构信息

Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA.

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

出版信息

mBio. 2020 Feb 4;11(1):e03343-19. doi: 10.1128/mBio.03343-19.

DOI:10.1128/mBio.03343-19
PMID:32019797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7002356/
Abstract

Diarrhea is a major cause of both morbidity and mortality worldwide, especially among young children. Cryptosporidiosis is a leading cause of diarrhea in children, particularly in South Asia and sub-Saharan Africa, where it is responsible for over 200,000 deaths per year. Beyond the initial clinical presentation of diarrhea, it is associated with long-term sequelae such as malnutrition and neurocognitive developmental deficits. Risk factors include poverty and overcrowding, and yet not all children with these risk factors and exposure are infected, nor do all infected children develop symptomatic disease. One potential risk factor to explain these differences is their human genome. To identify genetic variants associated with symptomatic cryptosporidiosis, we conducted a genome-wide association study (GWAS) examining 6.5 million single nucleotide polymorphisms (SNPs) in 873 children from three independent cohorts in Dhaka, Bangladesh, namely, the Dhaka Birth Cohort (DBC), the Performance of Rotavirus and Oral Polio Vaccines in Developing Countries (PROVIDE) study, and the Cryptosporidiosis Birth Cohort (CBC). Associations were estimated separately for each cohort under an additive model, adjusting for length-for-age Z-score at 12 months of age, the first two principal components to account for population substructure, and genotyping batch. The strongest meta-analytic association was with rs58296998 ( = 3.73 × 10), an intronic SNP and expression quantitative trait locus (eQTL) of protein kinase C alpha (). Each additional risk allele conferred 2.4 times the odds of -associated diarrhea in the first year of life. This genetic association suggests a role for protein kinase C alpha in pediatric cryptosporidiosis and warrants further investigation. Globally, diarrhea remains one of the major causes of pediatric morbidity and mortality. The initial symptoms of diarrhea can often lead to long-term consequences for the health of young children, such as malnutrition and neurocognitive developmental deficits. Despite many children having similar exposures to infectious causes of diarrhea, not all develop symptomatic disease, indicating a possible role for human genetic variation. Here, we conducted a genetic study of susceptibility to symptomatic disease associated with infection (a leading cause of diarrhea) in three independent cohorts of infants from Dhaka, Bangladesh. We identified a genetic variant within protein kinase C alpha () associated with higher risk of cryptosporidiosis in the first year of life. These results indicate a role for human genetics in susceptibility to cryptosporidiosis and warrant further research to elucidate the mechanism.

摘要

腹泻是全世界发病率和死亡率的主要原因,尤其是在幼儿中。隐孢子虫病是儿童腹泻的主要原因,特别是在南亚和撒哈拉以南非洲,每年导致超过 20 万人死亡。除了腹泻的初始临床表现外,它还与长期的后遗症有关,如营养不良和神经认知发育缺陷。风险因素包括贫困和过度拥挤,但并非所有具有这些风险因素和暴露的儿童都受到感染,也并非所有受感染的儿童都出现症状性疾病。一个潜在的风险因素可以解释这些差异,那就是他们的人类基因组。为了确定与症状性隐孢子虫病相关的遗传变异,我们对来自孟加拉国达卡的三个独立队列的 873 名儿童进行了全基因组关联研究(GWAS),这些队列分别是达卡出生队列(DBC)、发展中国家轮状病毒和口服脊髓灰质炎疫苗的表现(PROVIDE)研究和隐孢子虫病出生队列(CBC)。在加性模型下,分别对每个队列进行关联估计,调整 12 月龄时的年龄与身长 Z 评分、前两个主成分以解释人群亚结构以及基因分型批次。最强的荟萃分析关联是与 rs58296998( = 3.73 × 10),一个内含子 SNP 和蛋白激酶 C 阿尔法的表达数量性状基因座(eQTL)()。每个额外的风险等位基因赋予生命第一年与 -相关腹泻的 2.4 倍的优势比。这种遗传关联表明蛋白激酶 C 阿尔法在儿科隐孢子虫病中起作用,值得进一步研究。在全球范围内,腹泻仍然是儿童发病率和死亡率的主要原因之一。腹泻的初始症状往往会对幼儿的健康造成长期影响,如营养不良和神经认知发育缺陷。尽管许多儿童有类似的暴露于感染性腹泻的原因,但并非所有儿童都出现症状性疾病,这表明人类遗传变异可能起作用。在这里,我们对来自孟加拉国达卡的三个独立婴儿队列进行了与感染相关的症状性疾病易感性的遗传研究(腹泻的主要原因之一)。我们在蛋白激酶 C 阿尔法()内发现了一个与生命第一年隐孢子虫病风险增加相关的遗传变异。这些结果表明人类遗传学在隐孢子虫病易感性中的作用,并需要进一步研究来阐明机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/3ba17442650e/mBio.03343-19-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/4d4187d8f51e/mBio.03343-19-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/319e4c02141c/mBio.03343-19-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/53ca5093373c/mBio.03343-19-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/3ba17442650e/mBio.03343-19-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/4d4187d8f51e/mBio.03343-19-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/319e4c02141c/mBio.03343-19-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/53ca5093373c/mBio.03343-19-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d160/7002356/3ba17442650e/mBio.03343-19-f0004.jpg

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