生物
突变
癌症的体细胞进化
进化动力学
健身景观
克隆选择
人口
体细胞
选择(遗传算法)
遗传适应性
进化生物学
造血
遗传学
干细胞
基因
免疫学
社会学
人口学
人工智能
计算机科学
作者
Caroline J. Watson,Alana Papula,Gladys Y. P. Poon,Winghing Wong,Andrew L. Young,Todd E. Druley,Daniel S. Fisher,Jamie R. Blundell
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2020-03-26
卷期号:367 (6485): 1449-1454
被引量:351
标识
DOI:10.1126/science.aay9333
摘要
Evolutionary dynamics in hematopoiesis Cells accumulate mutations as we age, and these mutations can be a source of diseases such as cancer. How cells containing mutations evolve, are maintained, and proliferate within the body has not been well characterized. Using a quantitative framework, Watson et al. applied population genetic theory to estimate mutation accumulation in cells in blood from sequencing data derived from nearly 50,000 healthy individuals (see the Perspective by Curtis). By evaluating how mutations differ between blood cell populations, a phenomenon known as clonal hematopoiesis, the researchers could observe how recurrent mutations can drive certain clonal lineages to high frequencies within an individual. The risk of specific mutations, some of which are associated with leukemias, rising to high frequencies may therefore be a function of cellular selection and the age at which the mutation originated. Science , this issue p. 1449 ; see also p. 1426
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