메뉴 건너뛰기
Methods in Molecular Biology
Volumn 1589, Issue , 2017, Pages 107-114
Correcting for sample heterogeneity in methylome-wide association studies
Author keywords

Computational method; DNA methylation; Epigenome wide association study; Sample heterogeneity
Indexed keywords

DNA;
EID: 85013073235     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/7651_2015_266     Document Type: Chapter
Times cited : (1)
References (17)
  • 1
    • 84863986133 scopus 로고    scopus 로고
    • Functions of DNA methylation: Islands, start sites, gene bodies and beyond
    • Jones P (2012) Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet 13:484-492
    • (2012) Nat Rev Genet , vol.13 , pp. 484-492
    • Jones, P.1
  • 2
    • 77957970301 scopus 로고    scopus 로고
    • Epigenetic modifications and human disease
    • Portela A, Esteller M (2010) Epigenetic modifications and human disease. Nat Biotechnol 28:1057-1068
    • (2010) Nat Biotechnol , vol.28 , pp. 1057-1068
    • Portela, A.1    Esteller, M.2
  • 3
    • 77957366305 scopus 로고    scopus 로고
    • DNA methylation and cancer
    • Kulis M, Esteller M (2010) DNA methylation and cancer. Adv Genet 70:27-56
    • (2010) Adv Genet , vol.70 , pp. 27-56
    • Kulis, M.1    Esteller, M.2
  • 5
    • 79960556965 scopus 로고    scopus 로고
    • Epigenome-wide association studies for common human diseases
    • Rakyan VK, Down TA, Balding DJ, Beck S (2011) Epigenome-wide association studies for common human diseases. Nat Rev Genet 12:529-541
    • (2011) Nat Rev Genet , vol.12 , pp. 529-541
    • Rakyan, V.K.1    Down, T.A.2    Balding, D.J.3    Beck, S.4
  • 6
    • 33748804424 scopus 로고    scopus 로고
    • A tutorial on statistical methods for population association studies
    • Balding DJ (2006) A tutorial on statistical methods for population association studies. Nat Rev Genet 7:781-791
    • (2006) Nat Rev Genet , vol.7 , pp. 781-791
    • Balding, D.J.1
  • 7
    • 84877772849 scopus 로고    scopus 로고
    • A powerful and efficient set test for genetic markers that handles confounders
    • Listgarten J et al (2013) A powerful and efficient set test for genetic markers that handles confounders. Bioinformatics 29:1526-1533
    • (2013) Bioinformatics , vol.29 , pp. 1526-1533
    • Listgarten, J.1
  • 8
    • 84873310426 scopus 로고    scopus 로고
    • Genome-wide chromatin state transitions elicited by developmental and environmental cues
    • Zhu J et al (2013) Genome-wide chromatin state transitions elicited by developmental and environmental cues. Cell 152:642-654
    • (2013) Cell , vol.152 , pp. 642-654
    • Zhu, J.1
  • 9
    • 84873576566 scopus 로고    scopus 로고
    • Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis
    • Liu Y et al (2013) Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis. Nat Biotechnol 31:142-147
    • (2013) Nat Biotechnol , vol.31 , pp. 142-147
    • Liu, Y.1
  • 10
    • 84860637797 scopus 로고    scopus 로고
    • Open Access DNA methylation arrays as surrogate measures of cell mixture distribution
    • Houseman EA et al (2012) Open Access DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 13
    • (2012) BMC Bioinformatics , pp. 13
    • Houseman, E.A.1
  • 11
    • 84895540377 scopus 로고    scopus 로고
    • Epigenome-wide association studies without the need for cell-type composition
    • Zou J et al (2014) Epigenome-wide association studies without the need for cell-type composition. Nat Methods 11:309-311
    • (2014) Nat Methods , vol.11 , pp. 309-311
    • Zou, J.1
  • 12
    • 80053372166 scopus 로고    scopus 로고
    • FaST linear mixed models for genome-wide association studies
    • Lippert C et al (2011) FaST linear mixed models for genome-wide association studies. Nat Methods 8:833-835
    • (2011) Nat Methods , vol.8 , pp. 833-835
    • Lippert, C.1
  • 13
    • 84861988364 scopus 로고    scopus 로고
    • Improved linear mixed models for genome-wide association studies
    • Listgarten J et al (2012) Improved linear mixed models for genome-wide association studies. Nat Methods 9:525-526
    • (2012) Nat Methods , vol.9 , pp. 525-526
    • Listgarten, J.1
  • 14
    • 84877763248 scopus 로고    scopus 로고
    • The benefits of selecting phenotype- specific variants for applications of mixed models in genomics
    • Lippert C, Quon G, Listgarten J, Heckerman D (2013) The benefits of selecting phenotype- specific variants for applications of mixed models in genomics. Sci Rep 3:1815
    • (2013) Sci Rep , vol.3 , pp. 1815
    • Lippert, C.1    Quon, G.2    Listgarten, J.3    Heckerman, D.4
  • 15
    • 84877772904 scopus 로고    scopus 로고
    • Fast-LMM-Select tackles confounding from spatial structure and rare variants
    • Listgarten J, Lippert C, Heckerman D (2013) Fast-LMM-Select tackles confounding from spatial structure and rare variants. Nat Genet 45:470-471
    • (2013) Nat Genet , vol.45 , pp. 470-471
    • Listgarten, J.1    Lippert, C.2    Heckerman, D.3
  • 16
    • 33746512512 scopus 로고    scopus 로고
    • Principal components analysis corrects for stratification in genome- wide association studies
    • Price AL et al (2006) Principal components analysis corrects for stratification in genome- wide association studies. Nat Genet 38:904-909
    • (2006) Nat Genet , vol.38 , pp. 904-909
    • Price, A.L.1
  • 17
    • 34848914038 scopus 로고    scopus 로고
    • Capturing heterogeneity in gene expression studies by surrogate variable analysis
    • Leek JT, Storey JD (2007) Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet 3:1724-1735
    • (2007) Plos Genet , vol.3 , pp. 1724-1735
    • Leek, J.T.1    Storey, J.D.2

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.