In genetic analysis it is often of interest to analyze associations between traits of unknown genetic etiology and genetic markers from pedigree data. Statistical methods that assume independence of pedigree members cannot be used because they disregard the statistical dependencies of members in a p
Statistical genetics of normal variation in family data for oligogenic diseases
β Scribed by Dr. Michael C. Mahaney; Cashell E. Jaquish; Anthony G. Comuzzie
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 301 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
β¦ Synopsis
A quadrivariate quantitative genetic analysis detected significant heritabilities for four simulated quantitative traits (Q1 -Q4) with additive genetic pleiotropy between traits Q1, 42, and 43. Using univariate segregation analysis, we tentatively detected five major loci: one each for 42, 43, and 4 4 and two, at different maxima, for Q 1. Bivariate one-locus segregation analysis identified significant major locus pleiotropy for Q1, Q2, and 4 3 only; and suggested identity between one of Ql's major genes and that for 42, and between the second 41 major gene and that for 43. Patterns of linkage, supportive of inferences from the bivariate segregation analyses, were detected between three candidate genes and the major genes for Ql,Q2 and 44.
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