On the differences between maximum likelihood and regression interval mapping in the analysis of quantitative trait loci

Genetics

Volumn 156, Issue 2, 2000, Pages 855-865

  Kao, C H ^a  

^a INSTITUTE OF STATISTICAL SCIENCE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENE LOCUS; GENE MAPPING; GENETIC LINKAGE; HUMAN; HUMAN CELL; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MOLECULAR GENETICS; PRIORITY JOURNAL; QUANTITATIVE TRAIT;

CHROMOSOME MAPPING; COMPARATIVE STUDY; COMPUTER SIMULATION; CROSSES, GENETIC; GENOTYPE; LIKELIHOOD FUNCTIONS; LINKAGE (GENETICS); MODELS, GENETIC; MODELS, STATISTICAL; QUANTITATIVE TRAIT, HERITABLE; REGRESSION ANALYSIS; SUPPORT, NON-U.S. GOV'T;

EID: 0033790225     PISSN: 00166731     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (40)

1. Interval mapping in the analysis of nonadditive quantitative trait loci
2. Maximum likelihood from incomplete data via the EM algorithm
3. Permutation test for multiple loci affecting a quantitative character
4. Statistical methods for mapping quantitative trait loci from a dense set of markers
5. Comparing methods to detect more than one QTL on a chromosome
6. Genetic mapping of quantitative trait loci controlling growth and wood quality traits in Eucalyptus grandis using a maternal half-sib family and RAPD markers
7. Genetic mapping of quantitative trait loci for traits with ordinal distributions
8. The combination of linkage values and the calculation of distances between the loci of linked factors
9. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers
10. Mapping quantitative trait loci in crosses between outbred lines using least squares
11. Multiple-trait mapping of quantitative trait loci after selective genotyping using logistic regression
12. Bayesian analysis of linkage between genetic markers and quantitative trait loci. I. Prior knowledge
13. Bayesian analysis of linkage between genetic markers and quantitative trait loci. II. Combining prior knowledge with experimental evidence
14. Interval mapping of multiple quantitative trait loci
15. Multiple trait analysis of genetic mapping for quantitative trait loci
16. General formulas for obtaining the MLE and the asymptotic variance-covariance matrix in mapping quantitative trait loci when using the EM algorithm
17. Multiple interval mapping for quantitative trait loci
18. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps
19. A nonparametric bootstrap method for testing close linkage vs. pleiotropy of coincident quantitative trait loci
20. Epistasis for three grain yield components in rice (Oryza sativa L.)
21. Finding the observed information matrix when using the EM algorithm
22. Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers
23. Using EM to obtain asymptotic variance-covariance matrix: The SEM algorithm
24. More about quantitative trait locus mapping with diallel designs
25. A Bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo
26. Bayesian mapping of multiple quantitative trait loci from incomplete outbred offspring data
27. The full-sib intercross line (FSIL): A QTL mapping design for outcross species
28. An analysis of polygenes affecting wing shape on Chromosome 3 in Drosophila melanogaster
29. On the mapping of QTL by regression of phenotype on marker type
30. A comment on the simple regression method for interval mapping
31. Mapping quantitative trait loci using four-way crosses
32. Further investigation on the regression method of mapping quantitative trait loci
33. Iteratively reweighted least squares mapping for quantitative trait loci
34. Precision mapping of quantitative trait loci
35. Genetic architecture of a morphological shape difference between two Drosophila species