{"title":"确定主要基因座对疾病易感性影响的统计方法","authors":"J. Maccluer","doi":"10.1159/000416888","DOIUrl":null,"url":null,"abstract":"The aim of this presentation is to describe statistical methods that are currently available for detecting the contribution of single genes to traits determined by both genetic and environmental factors. These traits incluse common diseases such as coronary heart disease, and quantitative risk factors such as serum concentrations of lipoproteins and apolipoproteins","PeriodicalId":76182,"journal":{"name":"Monographs in human genetics","volume":"12 1","pages":"50-78"},"PeriodicalIF":0.0000,"publicationDate":"1989-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000416888","citationCount":"6","resultStr":"{\"title\":\"Statistical Approaches to Identifying Major Locus Effects on Disease Susceptibility\",\"authors\":\"J. Maccluer\",\"doi\":\"10.1159/000416888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this presentation is to describe statistical methods that are currently available for detecting the contribution of single genes to traits determined by both genetic and environmental factors. These traits incluse common diseases such as coronary heart disease, and quantitative risk factors such as serum concentrations of lipoproteins and apolipoproteins\",\"PeriodicalId\":76182,\"journal\":{\"name\":\"Monographs in human genetics\",\"volume\":\"12 1\",\"pages\":\"50-78\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1159/000416888\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Monographs in human genetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1159/000416888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Monographs in human genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000416888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical Approaches to Identifying Major Locus Effects on Disease Susceptibility
The aim of this presentation is to describe statistical methods that are currently available for detecting the contribution of single genes to traits determined by both genetic and environmental factors. These traits incluse common diseases such as coronary heart disease, and quantitative risk factors such as serum concentrations of lipoproteins and apolipoproteins
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
