Application of Bayesian spatial statistical methods to analysis of haplotypes effects and gene mapping

Genetic Epidemiology

Volumn 25, Issue 2, 2003, Pages 95-105

  Molitor, John ^a   Marjoram, Paul ^a   Thomas, Duncan ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Bayesian methods; Fine mapping; Haplotype; Markov chain Monte Carlo; Spatial statistics

Indexed keywords

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CYSTIC FIBROSIS; FRIEDREICH ATAXIA; GENE LOCATION; GENE MAPPING; GENE MUTATION; GENETIC RISK; HAPLOTYPE; HUMAN; MONTE CARLO METHOD; POPULATION GENETICS; PROBABILITY; STATISTICAL ANALYSIS;

BAYES THEOREM; CHROMOSOME MAPPING; CYSTIC FIBROSIS; FRIEDREICH ATAXIA; HAPLOTYPES; HUMANS; MARKOV CHAINS; MODELS, GENETIC; MONTE CARLO METHOD;

ATAXIA;

EID: 0042358743     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.10251     Document Type: Article

References (20)

1. Besag Jr, York J, Mollié A. 1991. Bayesian image restoration, with two applications in spatial statitics (with discussion). Ann Inst Stat Math 43:1-59.
2. Carlin BP, Banerlee S. 2002. Hierarchical multivariate CAR models for spatio-temporally correlated survival data. In: Bernardo JM, Dawid AP, Berger JO, West M, editors. Bayesian statistics 7. Oxford: Oxford University Press. p 29-105.
3. Cressie NA. 1993. Statistics for spatial data, revised edition. New York: John Wiley & Sons, Inc.
4. Devlin B, Risch N, Roeder K. 1996. Disequilibrium mapping: composite likelihood for pairwise disequilibrium. Genomics 36:1-16.
5. Gelfand A, Smith A. 1990. Sampling-based approaches to calculating marginal densities. J Am Stat Assoc 85:398-409.
6. Gilks W, Richardson S, Spiegelhalter D, editors. 1996. Markov chain Monte Carlo in practice. London: Chapman and Hall.
7. Green P. 1995. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrica 82:711-732.
8. Hyndman J. 1996. Computing and graphing highest density regions. Am Stat 50:120-126.
9. Besag J, Kooperberg C. 1995. On conditional and intrinsic autoregressions. Biometrika 82:733-746.
10. Kelsall J, Wakefield J. 1999. Bayesian models for spatially correlated disease and exposure data. Oxford: Oxford University Press. p 151.
11. Kerem B, Rommens J, Buchanan J, Markiewicz D, Cox TK, Chakravarti A, Buchwald M, Tsui L. 1989. Identification of the cystic fibrosis gene: genetic analysis. Science 245:1073-1080.
12. Liu JS, Sabatti C, Teng J, Keats BJ, Risch N. 2001. Bayesian analysis of haplotypes for linkage disequilibrium mapping. Genome Res 11:1716-1724.
13. McPeek MS, Strahs A. 1999. Assessment of linkage disequilibrium by the decay of haplotype sharing, with application to fine-scale genetic mapping. Am J Hum Genet 65:858-875.
14. Mollié A. 1996. Markov chain Monte Carlo in practice. Chap 20, Bayesian Mapping of Disease. London: Chapman & Hall. p 359-380.
15. Morris AJ, Whittaker J, Balding D. 2000. Bayesian fine-scale mapping of disease loci, by hidden Markov models. Am J Hum Genet 67:155-169.
16. Morris A, Whittaker J, Balding DJ. 2002. Fine-scale mapping of disease loci via shattered coalescent modeling of genealogies. Am J Hum Genet 70:686-707.
17. Sun D, Tsutakawa R, Kim H, He Z. 2000. Bayesian analysis of mortality rates with disease maps. Stat Med 19:2015-2035.
18. Terwilliger J. 1995. A powerful likelihood method for the analysis of linkage disequilibrium between trait loci and one or more polymorphic marker loci. Am J Hum Genet 56:777-787.
19. Thomas DC, Morrison JL, Clayton DG. 2001. Bayes estimates of haplotype effects. Genet Epidemiol 21 (Suppl 1):S712-S717.
20. Xiong M, Guo S-W. 1997. Fine-scale genetic mapping based on linkage disequilibrium: theory and applications. Am J Hum Genet 60:1513-1531.