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Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants

We conducted a systematic study of top susceptibility variants from a genome-wide association (GWA) study of Bipolar Disorder to gain insight into the functional consequences of genetic variation influencing disease risk. We report here the results of experiments to explore the effects of these susc...

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Autores principales: Gamazon, ER, Badner, JA, Cheng, L, Zhang, C, Zhang, D, Cox, NJ, Gershon, ES, Kelsoe, JR, Greenwood, TA, Nievergelt, CM, Chen, C, McKinney, R, Shilling, PD, Schork, NJ, Smith, EN, Bloss, CS, Nurnberger, JI, Edenberg, HJ, Foroud, T, Koller, DL, Scheftner, WA, Coryell, W, Rice, J, Lawson, WB, Nwulia, EA, Hipolito, M, Byerley, W, McMahon, FJ, Schulze, TG, Berrettini, WH, Potash, JB, Zandi, PP, Mahon, PB, McInnis, MG, Zöllner, S, Zhang, P, Craig, DW, Szelinger, S, Barrett, TB, Liu, C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601550/
https://www.ncbi.nlm.nih.gov/pubmed/22212596
http://dx.doi.org/10.1038/mp.2011.174
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author Gamazon, ER
Badner, JA
Cheng, L
Zhang, C
Zhang, D
Cox, NJ
Gershon, ES
Kelsoe, JR
Greenwood, TA
Nievergelt, CM
Chen, C
McKinney, R
Shilling, PD
Schork, NJ
Smith, EN
Bloss, CS
Nurnberger, JI
Edenberg, HJ
Foroud, T
Koller, DL
Scheftner, WA
Coryell, W
Rice, J
Lawson, WB
Nwulia, EA
Hipolito, M
Byerley, W
McMahon, FJ
Schulze, TG
Berrettini, WH
Potash, JB
Zandi, PP
Mahon, PB
McInnis, MG
Zöllner, S
Zhang, P
Craig, DW
Szelinger, S
Barrett, TB
Liu, C
author_facet Gamazon, ER
Badner, JA
Cheng, L
Zhang, C
Zhang, D
Cox, NJ
Gershon, ES
Kelsoe, JR
Greenwood, TA
Nievergelt, CM
Chen, C
McKinney, R
Shilling, PD
Schork, NJ
Smith, EN
Bloss, CS
Nurnberger, JI
Edenberg, HJ
Foroud, T
Koller, DL
Scheftner, WA
Coryell, W
Rice, J
Lawson, WB
Nwulia, EA
Hipolito, M
Byerley, W
McMahon, FJ
Schulze, TG
Berrettini, WH
Potash, JB
Zandi, PP
Mahon, PB
McInnis, MG
Zöllner, S
Zhang, P
Craig, DW
Szelinger, S
Barrett, TB
Liu, C
author_sort Gamazon, ER
collection PubMed
description We conducted a systematic study of top susceptibility variants from a genome-wide association (GWA) study of Bipolar Disorder to gain insight into the functional consequences of genetic variation influencing disease risk. We report here the results of experiments to explore the effects of these susceptibility variants on DNA methylation and mRNA expression in human cerebellum samples. Among the top susceptibility variants, we identified an enrichment of cis regulatory loci on mRNA expression (eQTLs), and a significant excess of quantitative trait loci for DNA CpG methylation, hereafter referred to as mQTLs. Bipolar Disorder susceptibility variants that cis-regulate both cerebellar expression and methylation of the same gene are a very small proportion of Bipolar Disorder susceptibility variants. This finding suggests that mQTLs and eQTLs provide orthogonal ways of functionally annotating genetic variation within the context of studies of pathophysiology in brain. No lymphocyte mQTL enrichment was found, suggesting that mQTL enrichment was specific to the cerebellum, in contrast to eQTLs. Separately, we found that using mQTL information to restrict the number of SNPs studied enhances our ability to detect a significant association. With this restriction a priori informed by the observed functional enrichment, we identified a significant association (rs12618769, P(bonferroni)<0.05) from two other GWA studies (TGen+GAIN; 2,191 cases and 1,434 controls) of Bipolar Disorder, which we replicated in an independent GWA study (WTCCC). Collectively, our findings highlight the importance of integrating functional annotation of genetic variants for gene expression and DNA methylation to advance biological understanding of Bipolar Disorder.
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spelling pubmed-36015502013-09-01 Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants Gamazon, ER Badner, JA Cheng, L Zhang, C Zhang, D Cox, NJ Gershon, ES Kelsoe, JR Greenwood, TA Nievergelt, CM Chen, C McKinney, R Shilling, PD Schork, NJ Smith, EN Bloss, CS Nurnberger, JI Edenberg, HJ Foroud, T Koller, DL Scheftner, WA Coryell, W Rice, J Lawson, WB Nwulia, EA Hipolito, M Byerley, W McMahon, FJ Schulze, TG Berrettini, WH Potash, JB Zandi, PP Mahon, PB McInnis, MG Zöllner, S Zhang, P Craig, DW Szelinger, S Barrett, TB Liu, C Mol Psychiatry Article We conducted a systematic study of top susceptibility variants from a genome-wide association (GWA) study of Bipolar Disorder to gain insight into the functional consequences of genetic variation influencing disease risk. We report here the results of experiments to explore the effects of these susceptibility variants on DNA methylation and mRNA expression in human cerebellum samples. Among the top susceptibility variants, we identified an enrichment of cis regulatory loci on mRNA expression (eQTLs), and a significant excess of quantitative trait loci for DNA CpG methylation, hereafter referred to as mQTLs. Bipolar Disorder susceptibility variants that cis-regulate both cerebellar expression and methylation of the same gene are a very small proportion of Bipolar Disorder susceptibility variants. This finding suggests that mQTLs and eQTLs provide orthogonal ways of functionally annotating genetic variation within the context of studies of pathophysiology in brain. No lymphocyte mQTL enrichment was found, suggesting that mQTL enrichment was specific to the cerebellum, in contrast to eQTLs. Separately, we found that using mQTL information to restrict the number of SNPs studied enhances our ability to detect a significant association. With this restriction a priori informed by the observed functional enrichment, we identified a significant association (rs12618769, P(bonferroni)<0.05) from two other GWA studies (TGen+GAIN; 2,191 cases and 1,434 controls) of Bipolar Disorder, which we replicated in an independent GWA study (WTCCC). Collectively, our findings highlight the importance of integrating functional annotation of genetic variants for gene expression and DNA methylation to advance biological understanding of Bipolar Disorder. 2012-01-03 2013-03 /pmc/articles/PMC3601550/ /pubmed/22212596 http://dx.doi.org/10.1038/mp.2011.174 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Gamazon, ER
Badner, JA
Cheng, L
Zhang, C
Zhang, D
Cox, NJ
Gershon, ES
Kelsoe, JR
Greenwood, TA
Nievergelt, CM
Chen, C
McKinney, R
Shilling, PD
Schork, NJ
Smith, EN
Bloss, CS
Nurnberger, JI
Edenberg, HJ
Foroud, T
Koller, DL
Scheftner, WA
Coryell, W
Rice, J
Lawson, WB
Nwulia, EA
Hipolito, M
Byerley, W
McMahon, FJ
Schulze, TG
Berrettini, WH
Potash, JB
Zandi, PP
Mahon, PB
McInnis, MG
Zöllner, S
Zhang, P
Craig, DW
Szelinger, S
Barrett, TB
Liu, C
Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title_full Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title_fullStr Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title_full_unstemmed Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title_short Enrichment of Cis-Regulatory Gene Expression SNPs and Methylation Quantitative Trait Loci Among Bipolar Disorder Susceptibility Variants
title_sort enrichment of cis-regulatory gene expression snps and methylation quantitative trait loci among bipolar disorder susceptibility variants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601550/
https://www.ncbi.nlm.nih.gov/pubmed/22212596
http://dx.doi.org/10.1038/mp.2011.174
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