Alun Thomas , Lisa Cannon-Albright , Aruna Bansal , Mark H Skolnick
{"title":"癌症位点之间的家族关联","authors":"Alun Thomas , Lisa Cannon-Albright , Aruna Bansal , Mark H Skolnick","doi":"10.1006/cbmr.1999.1525","DOIUrl":null,"url":null,"abstract":"<div><p>The Utah Population Database links together genealogical records, the Utah Cancer Registry, and Utah death certificates and allows identification of cancer clusters. Groups of individuals with cancers of some types tend to fall into related clusters within the genealogy. We examine the apparent tendency of cases of two types of cancer to cluster together and distinguish real clusters from chance occurrences. Some established associations are found, whereas some are surprisingly absent. Some new associations are also suggested.</p></div>","PeriodicalId":75733,"journal":{"name":"Computers and biomedical research, an international journal","volume":"32 6","pages":"Pages 517-529"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cbmr.1999.1525","citationCount":"28","resultStr":"{\"title\":\"Familial Associations between Cancer Sites\",\"authors\":\"Alun Thomas , Lisa Cannon-Albright , Aruna Bansal , Mark H Skolnick\",\"doi\":\"10.1006/cbmr.1999.1525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The Utah Population Database links together genealogical records, the Utah Cancer Registry, and Utah death certificates and allows identification of cancer clusters. Groups of individuals with cancers of some types tend to fall into related clusters within the genealogy. We examine the apparent tendency of cases of two types of cancer to cluster together and distinguish real clusters from chance occurrences. Some established associations are found, whereas some are surprisingly absent. Some new associations are also suggested.</p></div>\",\"PeriodicalId\":75733,\"journal\":{\"name\":\"Computers and biomedical research, an international journal\",\"volume\":\"32 6\",\"pages\":\"Pages 517-529\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cbmr.1999.1525\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and biomedical research, an international journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0010480999915252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and biomedical research, an international journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010480999915252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Utah Population Database links together genealogical records, the Utah Cancer Registry, and Utah death certificates and allows identification of cancer clusters. Groups of individuals with cancers of some types tend to fall into related clusters within the genealogy. We examine the apparent tendency of cases of two types of cancer to cluster together and distinguish real clusters from chance occurrences. Some established associations are found, whereas some are surprisingly absent. Some new associations are also suggested.