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Volumn 26, Issue 12, 2010, Pages 493-498

Critical reasoning on causal inference in genome-wide linkage and association studies

Author keywords

[No Author keywords available]

Indexed keywords

GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC VARIABILITY; MATHEMATICAL MODEL; POPULATION SIZE; PRIORITY JOURNAL; QUANTITATIVE TRAIT LOCUS; SHORT SURVEY; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 78549270383     PISSN: 01689525     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tig.2010.09.002     Document Type: Short Survey
Times cited : (54)

References (33)
  • 1
    • 0001589778 scopus 로고
    • Correlation and causation
    • Wright S. Correlation and causation. J. Agric. Res. 1921, 20:557-585.
    • (1921) J. Agric. Res. , vol.20 , pp. 557-585
    • Wright, S.1
  • 2
    • 0028589097 scopus 로고
    • Inferring the direction of causation in cross-sectional twin data: theoretical and empirical considerations
    • Duffy D.L., Martin N.G. Inferring the direction of causation in cross-sectional twin data: theoretical and empirical considerations. Genet. Epidemiol. 1994, 11:483-502.
    • (1994) Genet. Epidemiol. , vol.11 , pp. 483-502
    • Duffy, D.L.1    Martin, N.G.2
  • 5
    • 40749105508 scopus 로고    scopus 로고
    • Variations in DNA elucidate molecular networks that cause disease
    • Chen Y., et al. Variations in DNA elucidate molecular networks that cause disease. Nature 2008, 452:429-435.
    • (2008) Nature , vol.452 , pp. 429-435
    • Chen, Y.1
  • 6
    • 45149106353 scopus 로고    scopus 로고
    • Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks
    • Zhu J., et al. Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks. Nat. Genet. 2008, 40:854-861.
    • (2008) Nat. Genet. , vol.40 , pp. 854-861
    • Zhu, J.1
  • 7
    • 22844446947 scopus 로고    scopus 로고
    • An integrative genomics approach to infer causal associations between gene expression and disease
    • Schadt E.E., et al. An integrative genomics approach to infer causal associations between gene expression and disease. Nat. Genet. 2005, 37:710-717.
    • (2005) Nat. Genet. , vol.37 , pp. 710-717
    • Schadt, E.E.1
  • 8
    • 41349095280 scopus 로고    scopus 로고
    • Genetics of gene expression and its effect on disease
    • Emilsson V., et al. Genetics of gene expression and its effect on disease. Nature 2008, 452:423-428.
    • (2008) Nature , vol.452 , pp. 423-428
    • Emilsson, V.1
  • 9
    • 42949144555 scopus 로고    scopus 로고
    • Harnessing naturally randomized transcription to infer regulatory relationships among genes
    • Chen L.S., et al. Harnessing naturally randomized transcription to infer regulatory relationships among genes. Genome Biol. 2007, 8:R219.
    • (2007) Genome Biol. , vol.8
    • Chen, L.S.1
  • 10
    • 44149084690 scopus 로고    scopus 로고
    • Using genetic markers to orient the edges in quantitative trait networks: the NEO software
    • Aten J.E., et al. Using genetic markers to orient the edges in quantitative trait networks: the NEO software. BMC Syst. Biol. 2008, 2:34.
    • (2008) BMC Syst. Biol. , vol.2 , pp. 34
    • Aten, J.E.1
  • 11
    • 67650258730 scopus 로고    scopus 로고
    • Disentangling molecular relationships with a causal inference test
    • Millstein J., et al. Disentangling molecular relationships with a causal inference test. BMC Genet. 2009, 10:23.
    • (2009) BMC Genet. , vol.10 , pp. 23
    • Millstein, J.1
  • 12
    • 49849090353 scopus 로고    scopus 로고
    • Inferring causal phenotype networks from segregating populations
    • Chaibub Neto E., et al. Inferring causal phenotype networks from segregating populations. Genetics 2008, 179:1089-1100.
    • (2008) Genetics , vol.179 , pp. 1089-1100
    • Chaibub Neto, E.1
  • 13
    • 57649124192 scopus 로고    scopus 로고
    • Reverse engineering the genotype-phenotype map with natural genetic variation
    • Rockman M.V. Reverse engineering the genotype-phenotype map with natural genetic variation. Nature 2008, 456:738-744.
    • (2008) Nature , vol.456 , pp. 738-744
    • Rockman, M.V.1
  • 14
    • 3242806720 scopus 로고    scopus 로고
    • An integrative genomics approach to the reconstruction of gene networks in segregating populations
    • Zhu J., et al. An integrative genomics approach to the reconstruction of gene networks in segregating populations. Cytogenet. Genome Res. 2004, 105:363-374.
    • (2004) Cytogenet. Genome Res. , vol.105 , pp. 363-374
    • Zhu, J.1
  • 15
    • 22144454660 scopus 로고    scopus 로고
    • Genetical genomics analysis of a yeast segregant population for transcription network inference
    • Bing N., Hoeschele I. Genetical genomics analysis of a yeast segregant population for transcription network inference. Genetics 2005, 170:533-542.
    • (2005) Genetics , vol.170 , pp. 533-542
    • Bing, N.1    Hoeschele, I.2
  • 16
    • 18144399354 scopus 로고    scopus 로고
    • Inferring gene transcriptional modulatory relations: a genetical genomics approach
    • Li H., et al. Inferring gene transcriptional modulatory relations: a genetical genomics approach. Hum. Mol. Genet. 2005, 14:1119-1125.
    • (2005) Hum. Mol. Genet. , vol.14 , pp. 1119-1125
    • Li, H.1
  • 17
    • 33745483785 scopus 로고    scopus 로고
    • Causal inference of regulator-target pairs by gene mapping of expression phenotypes
    • Kulp D.C., Jagalur M. Causal inference of regulator-target pairs by gene mapping of expression phenotypes. BMC Genomics 2006, 7:125.
    • (2006) BMC Genomics , vol.7 , pp. 125
    • Kulp, D.C.1    Jagalur, M.2
  • 18
    • 40849097776 scopus 로고    scopus 로고
    • Heritability in the genomics era - concepts and misconceptions
    • Visscher P.M., et al. Heritability in the genomics era - concepts and misconceptions. Nat. Rev. Genet. 2008, 9:255-266.
    • (2008) Nat. Rev. Genet. , vol.9 , pp. 255-266
    • Visscher, P.M.1
  • 19
    • 33746623411 scopus 로고    scopus 로고
    • Structural model analysis of multiple quantitative traits
    • Li R., et al. Structural model analysis of multiple quantitative traits. PLoS Genet. 2006, 2:e114.
    • (2006) PLoS Genet. , vol.2
    • Li, R.1
  • 20
    • 45149096374 scopus 로고    scopus 로고
    • Gene network inference via structural equation modeling in genetical genomics experiments
    • Liu B., et al. Gene network inference via structural equation modeling in genetical genomics experiments. Genetics 2008, 178:1763-1776.
    • (2008) Genetics , vol.178 , pp. 1763-1776
    • Liu, B.1
  • 21
    • 34247556038 scopus 로고    scopus 로고
    • Increasing the power to detect causal associations by combining genotypic and expression data in segregating populations
    • Zhu J., et al. Increasing the power to detect causal associations by combining genotypic and expression data in segregating populations. PLoS Comput. Biol. 2007, 3:e69.
    • (2007) PLoS Comput. Biol. , vol.3
    • Zhu, J.1
  • 22
    • 0034069495 scopus 로고    scopus 로고
    • Gene ontology: tool for the unification of biology. The Gene Ontology Consortium
    • Ashburner M., et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 2000, 25:25-29.
    • (2000) Nat. Genet. , vol.25 , pp. 25-29
    • Ashburner, M.1
  • 23
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto Encyclopedia of Genes and Genomes
    • Kanehisa M., Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic. Acids Res. 2000, 28:27-30.
    • (2000) Nucleic. Acids Res. , vol.28 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 24
    • 52949116045 scopus 로고    scopus 로고
    • Generalizing genetical genomics: getting added value from environmental perturbation
    • Li Y., et al. Generalizing genetical genomics: getting added value from environmental perturbation. Trends Genet. 2008, 24:518-524.
    • (2008) Trends Genet. , vol.24 , pp. 518-524
    • Li, Y.1
  • 25
    • 34347326155 scopus 로고    scopus 로고
    • On the design and analysis of gene expression studies in human populations
    • Akey J.M., et al. On the design and analysis of gene expression studies in human populations. Nat. Genet. 2007, 39:807-808.
    • (2007) Nat. Genet. , vol.39 , pp. 807-808
    • Akey, J.M.1
  • 26
    • 61849171085 scopus 로고    scopus 로고
    • Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots
    • Kang H.M., et al. Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots. Genetics 2008, 180:1909-1925.
    • (2008) Genetics , vol.180 , pp. 1909-1925
    • Kang, H.M.1
  • 27
    • 77950243833 scopus 로고    scopus 로고
    • Multiple common variants for celiac disease influencing immune gene expression
    • Dubois P.C., et al. Multiple common variants for celiac disease influencing immune gene expression. Nat. Genet. 2010, 42:295-302.
    • (2010) Nat. Genet. , vol.42 , pp. 295-302
    • Dubois, P.C.1
  • 28
    • 45749093728 scopus 로고    scopus 로고
    • A new perspective on transcriptional system regulation (TSR): towards TSR profiling
    • Fehrmann R.S., et al. A new perspective on transcriptional system regulation (TSR): towards TSR profiling. PLoS One 2008, 3:e1656.
    • (2008) PLoS One , vol.3
    • Fehrmann, R.S.1
  • 29
    • 34848914038 scopus 로고    scopus 로고
    • Capturing heterogeneity in gene expression studies by surrogate variable analysis
    • Leek J.T., Storey J.D. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 2007, 3:1724-1735.
    • (2007) PLoS Genet. , vol.3 , pp. 1724-1735
    • Leek, J.T.1    Storey, J.D.2
  • 30
    • 77955505742 scopus 로고    scopus 로고
    • A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies
    • Stegle O., et al. A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies. PLoS Comput. Biol. 2010, 6:e1000770.
    • (2010) PLoS Comput. Biol. , vol.6
    • Stegle, O.1
  • 31
    • 0035400051 scopus 로고    scopus 로고
    • Genetical genomics: the added value from segregation
    • Jansen R.C., Nap J.P. Genetical genomics: the added value from segregation. Trends Genet. 2001, 17:388-391.
    • (2001) Trends Genet. , vol.17 , pp. 388-391
    • Jansen, R.C.1    Nap, J.P.2
  • 32
    • 0001755034 scopus 로고
    • The estimation of economic relationships using instrumental variables
    • Sargon J.D. The estimation of economic relationships using instrumental variables. Econometrica 1958, 26:393-415.
    • (1958) Econometrica , vol.26 , pp. 393-415
    • Sargon, J.D.1
  • 33
    • 70349303959 scopus 로고    scopus 로고
    • Bayesian statistical methods for genetic association studies
    • Stephens M., Balding D.J. Bayesian statistical methods for genetic association studies. Nat. Rev. Genet. 2009, 10:681-690.
    • (2009) Nat. Rev. Genet. , vol.10 , pp. 681-690
    • Stephens, M.1    Balding, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.