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METHOD TO IDENTIFY GENES UNDER POSITIVE SELECTION

机译:积极选择下识别基因的方法

摘要

A method and computer system for identifying genes associated with a phenotype includes obtaining data representing mutations in a cohort of subjects exhibiting a phenotype. An evolutionary action (EA) score is calculated for each mutation using the data obtained. For each gene in the cohort, respective distributions of the calculated EA scores are determined for mutations found in the gene. The determined distributions of EA scores are quantitatively compared within the cohort and with random distributions to establish comparison data. Based on the comparison data, distributions of EA scores are identified that are non-random, and linkage of each gene in the cohort to the phenotype is assessed based on the identified non-random distributions to identify genes associated with the phenotype. The phenotype can be a disease, such as cancer, and linkage of each gene in the cohort to the disease can be assessed to identify disease causing genes.
机译:一种用于识别与表型相关的基因的方法和计算机系统,包括获得代表表现出表型的受试者群体中的突变的数据。使用获得的数据为每个突变计算进化作用(EA)分数。对于队列中的每个基因,确定在基因中发现的突变的计算出的EA分数的各自分布。将确定的EA分数分布在队列中进行定量比较,并与随机分布进行定量比较以建立比较数据。根据比较数据,确定EA分数的分布是非随机的,并根据所识别的非随机分布评估队列中每个基因与表型的联系,以鉴定与该表型相关的基因。该表型可以是疾病,例如癌症,并且可以评估队列中每个基因与疾病的联系以鉴定引起疾病的基因。

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