{"title":"人类11p染色体的遗传图谱。","authors":"K H Buetow, A Chakravarti, S A Cole","doi":"10.1002/gepi.1370030721","DOIUrl":null,"url":null,"abstract":"Multipoint methods, such as those of Lathrop et al. (1984) , are more efficient than two-point linkage analysis. However, several questions relating to data communication and comparison remain unresolved. Multipoint methods require extensive computations and large computer resources. In the following we present an alternative method for constructing multipoint linkage maps using the llp data (Antonarakis et al., 1983; Fearon et al., 1984; White et al., 1985). This technique, seriation, utilizes the results of pairwise lod score analysis to obtain locus order. This allows for communication, combination and comparison of results with little effort. Following determination of locus order, inter-locus map distances and interference can be estimated using the least squares method.","PeriodicalId":77852,"journal":{"name":"Genetic epidemiology. Supplement","volume":"1 ","pages":"135-40"},"PeriodicalIF":0.0000,"publicationDate":"1986-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/gepi.1370030721","citationCount":"6","resultStr":"{\"title\":\"A genetic map of human chromosome 11p.\",\"authors\":\"K H Buetow, A Chakravarti, S A Cole\",\"doi\":\"10.1002/gepi.1370030721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multipoint methods, such as those of Lathrop et al. (1984) , are more efficient than two-point linkage analysis. However, several questions relating to data communication and comparison remain unresolved. Multipoint methods require extensive computations and large computer resources. In the following we present an alternative method for constructing multipoint linkage maps using the llp data (Antonarakis et al., 1983; Fearon et al., 1984; White et al., 1985). This technique, seriation, utilizes the results of pairwise lod score analysis to obtain locus order. This allows for communication, combination and comparison of results with little effort. Following determination of locus order, inter-locus map distances and interference can be estimated using the least squares method.\",\"PeriodicalId\":77852,\"journal\":{\"name\":\"Genetic epidemiology. Supplement\",\"volume\":\"1 \",\"pages\":\"135-40\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/gepi.1370030721\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetic epidemiology. Supplement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/gepi.1370030721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic epidemiology. Supplement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/gepi.1370030721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multipoint methods, such as those of Lathrop et al. (1984) , are more efficient than two-point linkage analysis. However, several questions relating to data communication and comparison remain unresolved. Multipoint methods require extensive computations and large computer resources. In the following we present an alternative method for constructing multipoint linkage maps using the llp data (Antonarakis et al., 1983; Fearon et al., 1984; White et al., 1985). This technique, seriation, utilizes the results of pairwise lod score analysis to obtain locus order. This allows for communication, combination and comparison of results with little effort. Following determination of locus order, inter-locus map distances and interference can be estimated using the least squares method.