Model choice in gene mapping: What and why

Trends in Genetics

Volumn 18, Issue 6, 2002, Pages 301-307

  Sillanpää, Mikko J ^a   Corander, Jukka ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; BEHAVIOR; COMPUTER; ENVIRONMENTAL FACTOR; GENE MAPPING; GENE NUMBER; GENETIC MODEL; HUMAN; PHENOTYPE; PRIORITY JOURNAL; QUANTITATIVE TRAIT LOCUS; REVIEW; STATISTICAL ANALYSIS;

ANIMALS; BAYES THEOREM; CHROMOSOME MAPPING; HUMANS; MODELS, GENETIC; QUANTITATIVE TRAIT, HERITABLE;

EID: 0036606954     PISSN: 01689525     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9525(02)02688-4     Document Type: Review

References (54)

1. Design III with marker loci
2. Mapping epistatic quantitative trait loci with one-dimensional genome searches
3. Complex segregation analyses: Uses and limitations
4. Linkage analysis in nuclear families. 2. Relationship between affected sib-pair tests and lod-score analysis
5. Effect of genetic architecture on the power of human linkage studies to resolve the contribution of quantitative trait loci
6. The future of genetic studies of complex human diseases
7. Further evidence for the increased power of LOD scores compared with nonparametric methods
8. Empirical threshold values for quantitative trait mapping
9. Asymptotic theory for gene mapping
10. Bayesian model choice: Asymptotics and exact calculations
11. A Bayesian approach to detect quantitative trait loci using Markov Chain Monte Carlo
12. A Bayesian approach to multipoint mapping in nuclear families
13. Bayes factors for detection of quantitative trait loci
14. Interval mapping of multiple quantitative trait loci
15. High resolution of quantitative traits into multiple loci via interval mapping
16. Multipoint quantitative-trait linkage analysis in general pedigrees
17. Multiple interval mapping for quantitative trait loci
18. Estimating the genetic architecture of quantitative traits
19. Marker pair selection for mapping quantitative trait loci
20. A statistical framework for quantitative trait mapping
21. Bayesian methods for quantitative trait loci mapping based on model selection: Approximate analysis using the Bayesian information criterion
22. The use of genetic algorithm for simultaneous mapping of multiple interacting quantitative trait loci
23. Detection of closely linked multiple quantitative trait loci using a genetic algorithm
24. A review of methods for identifying QTLs in experimental crosses
25. A model selection approach for identification of quantitative trait loci in experimental crosses
26. Bayes offers a 'new' way to make sense of numbers
27. Bayesian statistics in genetics. A guide for the uninitiated
28. Book Reviews
29. Bayesian inference of phylogeny and its impact on evolutionary biology
30. High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence
31. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
32. A tutorial on reversible jump MCMC with a view toward applications in QTL-mapping
33. Markov chain Monte Carlo segregation and linkage analysis for oligogenic models
34. Performance of Markov Chain-Monte Carlo approaches for mapping genes in oligogenetic models with an unknown number of loci
35. Bayesian oligogenic analysis of quantitative and qualitative traits in general pedigrees
36. Mapping linked quantitative trait loci using Bayesian analysis and Markov chain Monte Carlo algorithms
37. Bayesian mapping of multiple quantitative trait loci from incomplete inbred line cross data
38. Bayesian mapping of multiple quantitative trait loci from incomplete outbred offspring data
39. Mixed model analysis of quantitative trait loci
40. Bayesian versus frequentist analysis of multiple quantitative trait loci with an application to an outbred apple cross
41. Model selection and accounting for model uncertainty in graphical models using Occam's window
42. Bayesian model averaging for linear regression models
43. A new look at the statistical model identification
44. Estimating the dimension of a model
45. Bayesian model choice: What and why?
46. A strongly consistent procedure for model selection in a regression problem
47. Stochastic complexity
48. Statistical theory. The prequential approach
49. Fractional Bayesian lag length inference in multivariate autoregressive processes
50. Bayes factors
51. Stratified exponential families: Graphical models and model selection