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1.
Nat Genet ; 53(11): 1597-1605, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34737428

RESUMO

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.


Assuntos
Genoma Humano , Seleção Genética , Mutação Silenciosa , Adulto , Fatores Etários , Idoso , Fenômenos Fisiológicos Sanguíneos/genética , Esôfago/fisiologia , Frequência do Gene , Genética Populacional , Estudo de Associação Genômica Ampla , Humanos , Pessoa de Meia-Idade , Oncogenes , Receptor Notch1/genética , Proteína Supressora de Tumor p53/genética
2.
Science ; 367(6485): 1449-1454, 2020 03 27.
Artigo em Inglês | MEDLINE | ID: mdl-32217721

RESUMO

Somatic mutations acquired in healthy tissues as we age are major determinants of cancer risk. Whether variants confer a fitness advantage or rise to detectable frequencies by chance remains largely unknown. Blood sequencing data from ~50,000 individuals reveal how mutation, genetic drift, and fitness shape the genetic diversity of healthy blood (clonal hematopoiesis). We show that positive selection, not drift, is the major force shaping clonal hematopoiesis, provide bounds on the number of hematopoietic stem cells, and quantify the fitness advantages of key pathogenic variants, at single-nucleotide resolution, as well as the distribution of fitness effects (fitness landscape) within commonly mutated driver genes. These data are consistent with clonal hematopoiesis being driven by a continuing risk of mutations and clonal expansions that become increasingly detectable with age.


Assuntos
Envelhecimento , Evolução Biológica , Deriva Genética , Aptidão Genética , Hematopoese/genética , Seleção Genética , Frequência do Gene , Genética Populacional , Células-Tronco Hematopoéticas/citologia , Humanos , Modelos Genéticos , Mutação , Taxa de Mutação
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