{"title":"Our ancestry dictates clonal architecture and skin cancer susceptibility","authors":"Marco De Dominici, James DeGregori","doi":"10.1038/s41588-023-01467-y","DOIUrl":null,"url":null,"abstract":"Incidence of keratinocyte skin cancer varies markedly between populations living in different areas of the world. A detailed analysis of somatic mutations in the normal skin of individuals from the UK and Singapore reveals different patterns of clonal mutational landscapes that could contribute to differential risk.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"55 9","pages":"1428-1429"},"PeriodicalIF":31.7000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-023-01467-y","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Incidence of keratinocyte skin cancer varies markedly between populations living in different areas of the world. A detailed analysis of somatic mutations in the normal skin of individuals from the UK and Singapore reveals different patterns of clonal mutational landscapes that could contribute to differential risk.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution