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Volumn 8, Issue 1, 2014, Pages 176-203

Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene-environment interactions

Author keywords

Bayes factor; Bayesian hypothesis testing; Gene environment interaction; Heterogeneity; Meta analysis

Indexed keywords


EID: 84898024088     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/13-AOAS695     Document Type: Article
Times cited : (37)

References (35)
  • 1
    • 0035182332 scopus 로고    scopus 로고
    • Simple pooling versus combining in meta-analysis
    • BRAVATA, D. and OLKIN, I. (2001). Simple pooling versus combining in meta-analysis. Eval. Health Prof. 24 218-230.
    • (2001) Eval. Health Prof , vol.24 , pp. 218-230
    • Bravata, D.1    Olkin, I.2
  • 2
    • 84887072133 scopus 로고    scopus 로고
    • Integrative modeling of eQTLs and cis-regulatory elements suggest mechanisms underlying cell type specifcity of eQTLs
    • BROWN, C., MANGRAVITE, L. M. and ENGELHARDT, B. E. (2012). Integrative modeling of eQTLs and cis-regulatory elements suggest mechanisms underlying cell type specifcity of eQTLs. Preprint. Available at arXiv:1210.3294.
    • (2012) Preprint. Available At ArXiv , vol.1210 , pp. 3294
    • Brown, C.1    Mangravite, L.M.2    Engelhardt, B.E.3
  • 3
    • 77952858616 scopus 로고    scopus 로고
    • Bayesian methods for metaanalysis of causal relationships estimated using genetic instrumental variables
    • BURGESS, S., THOMPSON, S. G. and ANDREWS, G. et al. (2010). Bayesian methods for metaanalysis of causal relationships estimated using genetic instrumental variables. Stat. Med. 29 1298-1311.
    • (2010) Stat. Med , vol.29 , pp. 1298-1311
    • Burgess, S.1    Thompson, S.G.2    Andrews, G.3
  • 4
    • 0036389689 scopus 로고    scopus 로고
    • Laplace approximations for hypergeometric functions with matrix argument
    • MR1926172
    • BUTLER, R.W. and WOOD, A. T. A. (2002). Laplace approximations for hypergeometric functions with matrix argument. Ann. Statist. 30 1155-1177. MR1926172
    • (2002) Ann. Statist , vol.30 , pp. 1155-1177
    • Butler, R.W.1    Wood, A.T.A.2
  • 6
    • 69949176863 scopus 로고    scopus 로고
    • Common regulatory variation impacts gene expression in a cell type-dependent manner
    • DIMAS, A. S., DEUTSCH, S., STRANGER, B. E., MONTGOMERY, S. B., BOREL, C. et al. (2009). Common regulatory variation impacts gene expression in a cell type-dependent manner. Science 325 1246-1250.
    • (2009) Science , vol.325 , pp. 1246-1250
    • Dimas, A.S.1    Deutsch, S.2    Stranger, B.E.3    Montgomery, S.B.4    Borel, C.5
  • 7
    • 0000499514 scopus 로고
    • Bayes methods for combining the results of cancer studies in humans and other species
    • MR0711105
    • DUMOUCHEL, W. H. and HARRIS, J. E. (1983). Bayes methods for combining the results of cancer studies in humans and other species. J. Amer. Statist. Assoc. 78 293-315. MR0711105
    • (1983) J. Amer. Statist. Assoc , vol.78 , pp. 293-315
    • Dumouchel, W.H.1    Harris, J.E.2
  • 8
  • 10
    • 79959257505 scopus 로고    scopus 로고
    • Variation in human recombination rates and its genetic determinants
    • Fledel-Alon, A., LEFFLER, E.M., GUAN, Y., STEPHENS, M., COOP, G. et al. (2011). Variation in human recombination rates and its genetic determinants. PloS One 6 e20321.
    • (2011) PloS One , vol.6
    • Fledel-Alon, A.1    Leffler, E.M.2    Guan, Y.3    Stephens, M.4    Coop, G.5
  • 11
    • 84878476783 scopus 로고    scopus 로고
    • A statistical framework for joint eQTL analysis in multiple tissues
    • FLUTRE, T., WEN, X., PRITCHARD, J. K. and STEPHENS, M. (2013). A statistical framework for joint eQTL analysis in multiple tissues. PLoS Genetics 9 e1003486.
    • (2013) PLoS Genetics , vol.9
    • Flutre, T.1    Wen, X.2    Pritchard, J.K.3    Stephens, M.4
  • 12
    • 47249142778 scopus 로고    scopus 로고
    • Revealing the architecture of gene regulation: The promise of eQTL studies
    • GILAD, Y., RIFKIN, S. A. and PRITCHARD, J. K. (2008). Revealing the architecture of gene regulation: The promise of eQTL studies. Trends Genet. 24 408-415.
    • (2008) Trends Genet , vol.24 , pp. 408-415
    • Gilad, Y.1    Rifkin, S.A.2    Pritchard, J.K.3
  • 13
    • 0347107686 scopus 로고    scopus 로고
    • Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate
    • GIVENS, G. H., SMITH, D. D. and TWEEDIE, R. L. (1997). Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate. Statist. Sci. 12 221-250.
    • (1997) Statist. Sci , vol.12 , pp. 221-250
    • Givens, G.H.1    Smith, D.D.2    Tweedie, R.L.3
  • 14
    • 58149175796 scopus 로고    scopus 로고
    • Practical issues in imputation-based association mapping
    • GUAN, Y. and STEPHENS, M. (2008). Practical issues in imputation-based association mapping. PLoS Genetics 4 e1000279.
    • (2008) PLoS Genetics , vol.4
    • Guan, Y.1    Stephens, M.2
  • 15
    • 79955860273 scopus 로고    scopus 로고
    • Random-effects model aimed at discovering associations in metaanalysis of genome-wide association studies
    • HAN, B. and ESKIN, E. (2011). Random-effects model aimed at discovering associations in metaanalysis of genome-wide association studies. Am. J. Hum. Genet. 88 586-598.
    • (2011) Am. J. Hum. Genet , vol.88 , pp. 586-598
    • Han, B.1    Eskin, E.2
  • 16
    • 28044457646 scopus 로고    scopus 로고
    • Bayes factors based on test statistics
    • MR2210687
    • JOHNSON, V. E. (2005). Bayes factors based on test statistics. J. R. Stat. Soc. Ser. B Stat. Methodol. 67 689-701. MR2210687
    • (2005) J. R. Stat. Soc. Ser. B Stat. Methodol , vol.67 , pp. 689-701
    • Johnson, V.E.1
  • 17
    • 43749095435 scopus 로고    scopus 로고
    • Properties of Bayes factors based on test statistics
    • MR2418746
    • JOHNSON, V. E. (2008). Properties of Bayes factors based on test statistics. Scand. J. Stat. 35 354-368. MR2418746
    • (2008) Scand. J. Stat , vol.35 , pp. 354-368
    • Johnson, V.E.1
  • 18
    • 39449106471 scopus 로고    scopus 로고
    • Sequence variants in the RNF212 gene associate with genome-wide recombination rate
    • KONG, A., THORLEIFSSON, G., STEFANSSON, H., MASSON, G. et al. (2008). Sequence variants in the RNF212 gene associate with genome-wide recombination rate. Science 319 1398-1401.
    • (2008) Science , vol.319 , pp. 1398-1401
    • Kong, A.1    Thorleifsson, G.2    Stefansson, H.3    Masson, G.4
  • 19
    • 77649159762 scopus 로고    scopus 로고
    • Dealing with heterogeneity between cohorts in genomewide SNP association studies dealing with heterogeneity between cohorts in genomewide SNP association studies
    • Art. 8, MR2594947
    • LEBREC, J. J., STIJNEN, T. and VAN HOUWELINGEN, H. C. (2010). Dealing with heterogeneity between cohorts in genomewide SNP association studies dealing with heterogeneity between cohorts in genomewide SNP association studies. Stat. Appl. Genet. Mol. Biol. 9 Art. 8, 22 pp. MR2594947
    • (2010) Stat. Appl. Genet. Mol. Biol , vol.9 , pp. 22
    • Lebrec, J.J.1    Stijnen, T.2    Van Houwelingen, H.C.3
  • 20
    • 21844518225 scopus 로고
    • Random effects models for combining results from controlled and uncontrolled studies in a meta-analysis
    • MR1310241
    • LI, Z. and BEGG, C. B. (1994). Random effects models for combining results from controlled and uncontrolled studies in a meta-analysis. J. Amer. Statist. Assoc. 89 1523-1527. MR1310241
    • (1994) J. Amer. Statist. Assoc , vol.89 , pp. 1523-1527
    • Li, Z.1    Begg, C.B.2
  • 21
    • 79551590421 scopus 로고    scopus 로고
    • A Bayesian approach to meta-analysis of plant pathology studies
    • MILA, A. L. and NGUGI, H. K. (2011). A Bayesian approach to meta-analysis of plant pathology studies. Phytopathology 101 42-51.
    • (2011) Phytopathology , vol.101 , pp. 42-51
    • Mila, A.L.1    Ngugi, H.K.2
  • 22
    • 73949084229 scopus 로고    scopus 로고
    • Karl Pearson's meta-analysis revisited
    • MR2572446
    • OWEN, A. B. (2009). Karl Pearson's meta-analysis revisited. Ann. Statist. 37 3867-3892. MR2572446
    • (2009) Ann. Statist , vol.37 , pp. 3867-3892
    • Owen, A.B.1
  • 23
    • 77950460661 scopus 로고    scopus 로고
    • Understanding mechanisms underlying human gene expression variation with RNA sequencing
    • PICKRELL, J. K., MARIONI, J. C., PAI, A. A., DEGNER, J. F. et al. (2010). Understanding mechanisms underlying human gene expression variation with RNA sequencing Nature 464 768-772.
    • (2010) Nature , vol.464 , pp. 768-772
    • Pickrell, J.K.1    Marioni, J.C.2    Pai, A.A.3    Degner, J.F.4
  • 24
    • 34547622688 scopus 로고    scopus 로고
    • Imputation-based analysis of association studies: Candidate regions and quantitative traits
    • SERVIN, B. and STEPHENS, M. (2008). Imputation-based analysis of association studies: Candidate regions and quantitative traits. PLoS Genetics 3 e114.
    • (2008) PLoS Genetics , vol.3
    • Servin, B.1    Stephens, M.2
  • 26
    • 84879818733 scopus 로고    scopus 로고
    • A unified framework for association analysis with multiple related phenotypes
    • STEPHENS, M. (2013). A unified framework for association analysis with multiple related phenotypes. PLoS One 8 e65245.
    • (2013) PLoS One , vol.8
    • Stephens, M.1
  • 28
    • 0034927232 scopus 로고    scopus 로고
    • Bayesian methods in meta-analysis and evidence synthesis
    • SUTTON, A. J. and ABRAMS, K. R. (2001). Bayesian methods in meta-analysis and evidence synthesis. Stat. Methods Med. Res. 10 277-303.
    • (2001) Stat. Methods Med. Res , vol.10 , pp. 277-303
    • Sutton, A.J.1    Abrams, K.R.2
  • 29
    • 77955505564 scopus 로고    scopus 로고
    • Biological, clinical and population relevance of 95 loci for blood lipids
    • TESLOVICH, T. M., MUSUNURU, K., SMITH, A. V., EDMONDSON, A. C., STYLIANOU, I. M. et al. (2010). Biological, clinical and population relevance of 95 loci for blood lipids. Nature 466 707-713.
    • (2010) Nature , vol.466 , pp. 707-713
    • Teslovich, T.M.1    Musunuru, K.2    Smith, A.V.3    Edmondson, A.C.4    Stylianou, I.M.5
  • 30
    • 41549109212 scopus 로고    scopus 로고
    • Bayesian meta-analysis of genetic association studies with different sets of markers
    • VERZILLI, C. J., SHAH, T., CASAS, J. P., CHAPMAN, J., SANDHU, M. et al. (2008). Bayesian meta-analysis of genetic association studies with different sets of markers. Am. J. Hum. Genet. 82 859-872.
    • (2008) Am. J. Hum. Genet , vol.82 , pp. 859-872
    • Verzilli, C.J.1    Shah, T.2    Casas, J.P.3    Chapman, J.4    Sandhu, M.5
  • 31
    • 66049114148 scopus 로고    scopus 로고
    • Bayes factors for genome-wide association studies: Comparison with P -values
    • WAKEFIELD, J. (2009). Bayes factors for genome-wide association studies: Comparison with P -values. Genet. Epidemiol. 33 79-86.
    • (2009) Genet. Epidemiol , vol.33 , pp. 79-86
    • Wakefield, J.1
  • 33
    • 84898024088 scopus 로고    scopus 로고
    • Supplement to "Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene-environment interactions.", DOI:10.1214/13-AOAS695SUPP
    • WEN, X. and STEPHENS, M. (2014). Supplement to "Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene-environment interactions." DOI:10.1214/13-AOAS695SUPP.
    • (2014)
    • Wen, X.1    Stephens, M.2
  • 34
    • 0026009636 scopus 로고
    • A general parametric approach to the meta-analysis of randomized clinical trials
    • WHITEHEAD, A. and WHITEHEAD, J. (1991). A general parametric approach to the meta-analysis of randomized clinical trials. Stat. Med. 10 1665-1677.
    • (1991) Stat. Med , vol.10 , pp. 1665-1677
    • Whitehead, A.1    Whitehead, J.2
  • 35
    • 77955894071 scopus 로고    scopus 로고
    • METAL: Fast and efficient meta-analysis of genomewide association scans
    • WILLER, C. J., LI, Y. and ABECASIS, G. R. (2010). METAL: Fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26 2190-2191.
    • (2010) Bioinformatics , vol.26 , pp. 2190-2191
    • Willer, C.J.1    Li, Y.2    Abecasis, G.R.3


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