INFERENCE IN LINKAGE ANALYSIS OF MULTIFACTORIAL TRAITS USING RECOMBINANT INBRED STRAINS OF MICE

被引：52
作者：
NEUMANN, PE [1 ]
机构：
[1] HARVARD UNIV,SCH MED,BOSTON,MA 02115
来源：
BEHAVIOR GENETICS | 1992年 / 22卷 / 06期
关键词：
LINKAGE ANALYSIS; MULTIFACTORIAL TRAITS; MICE; RECOMBINANT INBRED STRAINS;
D O I：
10.1007/BF01066637
中图分类号：
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号：
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要：
Recombinant inbred strains have been shown to be important tools for segregation and linkage analysis of multifactorial traits. Tests of association have been used as robust methods of linkage detection, however, guidelines for forming inferences from significance levels have not been generally available. In this paper, lessons learned from a Bayesian statistical approach to linkage analysis of Mendelian traits have been applied to studies of multifactorial traits. Criteria for detection of linkage based on Bonferroni's correction for multiple testing are also discussed.
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页码：665 / 676
页数：12
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