生物
遗传学
选择(遗传算法)
基因
基因组
积极选择
等位基因
单核苷酸多态性
突变
基因型
计算机科学
人工智能
作者
Gladys Y. P. Poon,Caroline J. Watson,Daniel S. Fisher,Jamie R. Blundell
出处
期刊:Nature Genetics
[Springer Nature]
日期:2021-11-01
卷期号:53 (11): 1597-1605
被引量:38
标识
DOI:10.1038/s41588-021-00957-1
摘要
Genetic alterations under positive selection in healthy tissues have implications for cancer risk. However, total levels of positive selection across the genome remain unknown. Passenger mutations are influenced by all driver mutations, regardless of type or location in the genome. Therefore, the total number of passengers can be used to estimate the total number of drivers—including unidentified drivers outside of cancer genes that are traditionally missed. Here we analyze the variant allele frequency spectrum of synonymous mutations from healthy blood and esophagus to quantify levels of missing positive selection. In blood, we find that only 30% of passengers can be explained by single-nucleotide variants in driver genes, suggesting high levels of positive selection for mutations elsewhere in the genome. In contrast, more than half of all passengers in the esophagus can be explained by just the two driver genes NOTCH1 and TP53, suggesting little positive selection elsewhere. Synonymous passenger mutations are used to measure levels of positive selection in healthy blood and esophagus. This approach can quantify missing selection due to unidentified drivers.
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