Enrichment of colorectal cancer associations in functional regions

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Enrichment of colorectal cancer associations in functional regions : Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data. / Bien, Stephanie A; Auer, Paul L; Harrison, Tabitha A; Qu, Conghui; Connolly, Charles M; Greenside, Peyton G; Chen, Sai; Berndt, Sonja I; Bézieau, Stéphane; Kang, Hyun M; Huyghe, Jeroen; Brenner, Hermann; Casey, Graham; Chan, Andrew T; Hopper, John L; Banbury, Barbara L; Chang-Claude, Jenny; Chanock, Stephen J; Haile, Robert W; Hoffmeister, Michael; Fuchsberger, Christian; Jenkins, Mark A; Leal, Suzanne M; Lemire, Mathieu; Newcomb, Polly A; Gallinger, Steven; Potter, John D; Schoen, Robert E; Slattery, Martha L; Smith, Joshua D; Le Marchand, Loic; White, Emily; Zanke, Brent W; Abeçasis, Goncalo R; Carlson, Christopher S; Peters, Ulrike; Nickerson, Deborah A; Kundaje, Anshul; Hsu, Li; GECCO and CCFR.

in: PLOS ONE, Jahrgang 12, Nr. 11, 2017, S. e0186518.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Bien, SA, Auer, PL, Harrison, TA, Qu, C, Connolly, CM, Greenside, PG, Chen, S, Berndt, SI, Bézieau, S, Kang, HM, Huyghe, J, Brenner, H, Casey, G, Chan, AT, Hopper, JL, Banbury, BL, Chang-Claude, J, Chanock, SJ, Haile, RW, Hoffmeister, M, Fuchsberger, C, Jenkins, MA, Leal, SM, Lemire, M, Newcomb, PA, Gallinger, S, Potter, JD, Schoen, RE, Slattery, ML, Smith, JD, Le Marchand, L, White, E, Zanke, BW, Abeçasis, GR, Carlson, CS, Peters, U, Nickerson, DA, Kundaje, A, Hsu, L & GECCO and CCFR 2017, 'Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data', PLOS ONE, Jg. 12, Nr. 11, S. e0186518. https://doi.org/10.1371/journal.pone.0186518

APA

Bien, S. A., Auer, P. L., Harrison, T. A., Qu, C., Connolly, C. M., Greenside, P. G., Chen, S., Berndt, S. I., Bézieau, S., Kang, H. M., Huyghe, J., Brenner, H., Casey, G., Chan, A. T., Hopper, J. L., Banbury, B. L., Chang-Claude, J., Chanock, S. J., Haile, R. W., ... GECCO and CCFR (2017). Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data. PLOS ONE, 12(11), e0186518. https://doi.org/10.1371/journal.pone.0186518

Vancouver

Bibtex

@article{cd92408b94684354972daa338276fe67,
title = "Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data",
abstract = "BACKGROUND: The evaluation of less frequent genetic variants and their effect on complex disease pose new challenges for genomic research. To investigate whether epigenetic data can be used to inform aggregate rare-variant association methods (RVAM), we assessed whether variants more significantly associated with colorectal cancer (CRC) were preferentially located in non-coding regulatory regions, and whether enrichment was specific to colorectal tissues.METHODS: Active regulatory elements (ARE) were mapped using data from 127 tissues and cell-types from NIH Roadmap Epigenomics and Encyclopedia of DNA Elements (ENCODE) projects. We investigated whether CRC association p-values were more significant for common variants inside versus outside AREs, or 2) inside colorectal (CR) AREs versus AREs of other tissues and cell-types. We employed an integrative epigenomic RVAM for variants with allele frequency <1%. Gene sets were defined as ARE variants within 200 kilobases of a transcription start site (TSS) using either CR ARE or ARE from non-digestive tissues. CRC-set association p-values were used to evaluate enrichment of less frequent variant associations in CR ARE versus non-digestive ARE.RESULTS: ARE from 126/127 tissues and cell-types were significantly enriched for stronger CRC-variant associations. Strongest enrichment was observed for digestive tissues and immune cell types. CR-specific ARE were also enriched for stronger CRC-variant associations compared to ARE combined across non-digestive tissues (p-value = 9.6 × 10-4). Additionally, we found enrichment of stronger CRC association p-values for rare variant sets of CR ARE compared to non-digestive ARE (p-value = 0.029).CONCLUSIONS: Integrative epigenomic RVAM may enable discovery of less frequent variants associated with CRC, and ARE of digestive and immune tissues are most informative. Although distance-based aggregation of less frequent variants in CR ARE surrounding TSS showed modest enrichment, future association studies would likely benefit from joint analysis of transcriptomes and epigenomes to better link regulatory variation with target genes.",
keywords = "Colorectal Neoplasms, Epigenomics, Gene Frequency, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Sequences, Nucleic Acid, Journal Article",
author = "Bien, {Stephanie A} and Auer, {Paul L} and Harrison, {Tabitha A} and Conghui Qu and Connolly, {Charles M} and Greenside, {Peyton G} and Sai Chen and Berndt, {Sonja I} and St{\'e}phane B{\'e}zieau and Kang, {Hyun M} and Jeroen Huyghe and Hermann Brenner and Graham Casey and Chan, {Andrew T} and Hopper, {John L} and Banbury, {Barbara L} and Jenny Chang-Claude and Chanock, {Stephen J} and Haile, {Robert W} and Michael Hoffmeister and Christian Fuchsberger and Jenkins, {Mark A} and Leal, {Suzanne M} and Mathieu Lemire and Newcomb, {Polly A} and Steven Gallinger and Potter, {John D} and Schoen, {Robert E} and Slattery, {Martha L} and Smith, {Joshua D} and {Le Marchand}, Loic and Emily White and Zanke, {Brent W} and Abe{\c c}asis, {Goncalo R} and Carlson, {Christopher S} and Ulrike Peters and Nickerson, {Deborah A} and Anshul Kundaje and Li Hsu and {GECCO and CCFR}",
year = "2017",
doi = "10.1371/journal.pone.0186518",
language = "English",
volume = "12",
pages = "e0186518",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS

TY - JOUR

T1 - Enrichment of colorectal cancer associations in functional regions

T2 - Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data

AU - Bien, Stephanie A

AU - Auer, Paul L

AU - Harrison, Tabitha A

AU - Qu, Conghui

AU - Connolly, Charles M

AU - Greenside, Peyton G

AU - Chen, Sai

AU - Berndt, Sonja I

AU - Bézieau, Stéphane

AU - Kang, Hyun M

AU - Huyghe, Jeroen

AU - Brenner, Hermann

AU - Casey, Graham

AU - Chan, Andrew T

AU - Hopper, John L

AU - Banbury, Barbara L

AU - Chang-Claude, Jenny

AU - Chanock, Stephen J

AU - Haile, Robert W

AU - Hoffmeister, Michael

AU - Fuchsberger, Christian

AU - Jenkins, Mark A

AU - Leal, Suzanne M

AU - Lemire, Mathieu

AU - Newcomb, Polly A

AU - Gallinger, Steven

AU - Potter, John D

AU - Schoen, Robert E

AU - Slattery, Martha L

AU - Smith, Joshua D

AU - Le Marchand, Loic

AU - White, Emily

AU - Zanke, Brent W

AU - Abeçasis, Goncalo R

AU - Carlson, Christopher S

AU - Peters, Ulrike

AU - Nickerson, Deborah A

AU - Kundaje, Anshul

AU - Hsu, Li

AU - GECCO and CCFR

PY - 2017

Y1 - 2017

N2 - BACKGROUND: The evaluation of less frequent genetic variants and their effect on complex disease pose new challenges for genomic research. To investigate whether epigenetic data can be used to inform aggregate rare-variant association methods (RVAM), we assessed whether variants more significantly associated with colorectal cancer (CRC) were preferentially located in non-coding regulatory regions, and whether enrichment was specific to colorectal tissues.METHODS: Active regulatory elements (ARE) were mapped using data from 127 tissues and cell-types from NIH Roadmap Epigenomics and Encyclopedia of DNA Elements (ENCODE) projects. We investigated whether CRC association p-values were more significant for common variants inside versus outside AREs, or 2) inside colorectal (CR) AREs versus AREs of other tissues and cell-types. We employed an integrative epigenomic RVAM for variants with allele frequency <1%. Gene sets were defined as ARE variants within 200 kilobases of a transcription start site (TSS) using either CR ARE or ARE from non-digestive tissues. CRC-set association p-values were used to evaluate enrichment of less frequent variant associations in CR ARE versus non-digestive ARE.RESULTS: ARE from 126/127 tissues and cell-types were significantly enriched for stronger CRC-variant associations. Strongest enrichment was observed for digestive tissues and immune cell types. CR-specific ARE were also enriched for stronger CRC-variant associations compared to ARE combined across non-digestive tissues (p-value = 9.6 × 10-4). Additionally, we found enrichment of stronger CRC association p-values for rare variant sets of CR ARE compared to non-digestive ARE (p-value = 0.029).CONCLUSIONS: Integrative epigenomic RVAM may enable discovery of less frequent variants associated with CRC, and ARE of digestive and immune tissues are most informative. Although distance-based aggregation of less frequent variants in CR ARE surrounding TSS showed modest enrichment, future association studies would likely benefit from joint analysis of transcriptomes and epigenomes to better link regulatory variation with target genes.

AB - BACKGROUND: The evaluation of less frequent genetic variants and their effect on complex disease pose new challenges for genomic research. To investigate whether epigenetic data can be used to inform aggregate rare-variant association methods (RVAM), we assessed whether variants more significantly associated with colorectal cancer (CRC) were preferentially located in non-coding regulatory regions, and whether enrichment was specific to colorectal tissues.METHODS: Active regulatory elements (ARE) were mapped using data from 127 tissues and cell-types from NIH Roadmap Epigenomics and Encyclopedia of DNA Elements (ENCODE) projects. We investigated whether CRC association p-values were more significant for common variants inside versus outside AREs, or 2) inside colorectal (CR) AREs versus AREs of other tissues and cell-types. We employed an integrative epigenomic RVAM for variants with allele frequency <1%. Gene sets were defined as ARE variants within 200 kilobases of a transcription start site (TSS) using either CR ARE or ARE from non-digestive tissues. CRC-set association p-values were used to evaluate enrichment of less frequent variant associations in CR ARE versus non-digestive ARE.RESULTS: ARE from 126/127 tissues and cell-types were significantly enriched for stronger CRC-variant associations. Strongest enrichment was observed for digestive tissues and immune cell types. CR-specific ARE were also enriched for stronger CRC-variant associations compared to ARE combined across non-digestive tissues (p-value = 9.6 × 10-4). Additionally, we found enrichment of stronger CRC association p-values for rare variant sets of CR ARE compared to non-digestive ARE (p-value = 0.029).CONCLUSIONS: Integrative epigenomic RVAM may enable discovery of less frequent variants associated with CRC, and ARE of digestive and immune tissues are most informative. Although distance-based aggregation of less frequent variants in CR ARE surrounding TSS showed modest enrichment, future association studies would likely benefit from joint analysis of transcriptomes and epigenomes to better link regulatory variation with target genes.

KW - Colorectal Neoplasms

KW - Epigenomics

KW - Gene Frequency

KW - Genome-Wide Association Study

KW - Genomics

KW - Humans

KW - Polymorphism, Single Nucleotide

KW - Quantitative Trait Loci

KW - Regulatory Sequences, Nucleic Acid

KW - Journal Article

U2 - 10.1371/journal.pone.0186518

DO - 10.1371/journal.pone.0186518

M3 - SCORING: Journal article

C2 - 29161273

VL - 12

SP - e0186518

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 11

ER -