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全基因组测序预测恒河猴新的人类疾病模型。

Whole genome sequencing predicts novel human disease models in rhesus macaques.

作者信息

Bimber Benjamin N, Ramakrishnan Ranjani, Cervera-Juanes Rita, Madhira Ravi, Peterson Samuel M, Norgren Robert B, Ferguson Betsy

机构信息

Division of Neurosciences, Oregon National Primate Research Center, Oregon Health & Sciences University, Beaverton, OR 97006, United States.

Oregon Health & Sciences University, Portland, OR 97239, United States.

出版信息

Genomics. 2017 Jul;109(3-4):214-220. doi: 10.1016/j.ygeno.2017.04.001. Epub 2017 Apr 23.

Abstract

Rhesus macaques are an important pre-clinical model of human disease. To advance our understanding of genomic variation that may influence disease, we surveyed genome-wide variation in 21 rhesus macaques. We employed best-practice variant calling, validated with Mendelian inheritance. Next, we used alignment data from our cohort to detect genomic regions likely to produce inaccurate genotypes, potentially due to either gene duplication or structural variation between individuals. We generated a final dataset of >16 million high confidence variants, including 13 million in Chinese-origin rhesus macaques, an increasingly important disease model. We detected an average of 131 mutations predicted to severely alter protein coding per animal, and identified 45 such variants that coincide with known pathogenic human variants. These data suggest that expanded screening of existing breeding colonies will identify novel models of human disease, and that increased genomic characterization can help inform research studies in macaques.

摘要

恒河猴是人类疾病重要的临床前模型。为了加深我们对可能影响疾病的基因组变异的理解,我们对21只恒河猴的全基因组变异进行了调查。我们采用了最佳实践变异检测方法,并通过孟德尔遗传进行了验证。接下来,我们利用我们队列中的比对数据来检测可能产生不准确基因型的基因组区域,这可能是由于个体之间的基因重复或结构变异所致。我们生成了一个最终数据集,包含超过1600万个高可信度变异,其中1300万个来自中国恒河猴,这是一种越来越重要的疾病模型。我们平均每只动物检测到131个预计会严重改变蛋白质编码的突变,并鉴定出45个与已知致病性人类变异一致的此类变异。这些数据表明,对现有繁殖群体进行扩大筛查将识别出人类疾病的新模型,并且增加基因组特征分析有助于为猕猴的研究提供信息。

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