Literature DB >> 33691021

Incorporation of DNA methylation into eQTL mapping in African Americans.

Anmol Singh1, Yizhen Zhong, Layan Nahlawi, C Sehwan Park, Tanima De, Cristina Alarcon, Minoli A Perera.   

Abstract

Epigenetics is a reversible molecular mechanism that plays a critical role in many developmental, adaptive, and disease processes. DNA methylation has been shown to regulate gene expression and the advent of high throughput technologies has made genome-wide DNA methylation analysis possible. We investigated the effect of DNA methylation on eQTL mapping (methylation-adjusted eQTLs), by incorporating DNA methylation as a SNP-based covariate in eQTL mapping in African American derived hepatocytes. We found that the addition of DNA methylation uncovered new eQTLs and eGenes. Previously discovered eQTLs were significantly altered by the addition of DNA methylation data suggesting that methylation may modulate the association of SNPs to gene expression. We found that methylation-adjusted eQTLs that were less significant compared to PC-adjusted eQTLs were enriched in lipoprotein measurements (FDR=0.0040), immune system disorders (FDR = 0.0042), and liver enzyme measurements (FDR=0.047), suggesting that DNA methylation modulates the genetic regulation of these phenotypes. Our methylation-adjusted eQTL analysis also uncovered novel SNP-gene pairs. For example, we found that the SNP, rs1332018, was associated to GSTM3. GSTM3 expression has been linked to Hepatitis B which African Americans suffer from disproportionately. Our methylation-adjusted method adds new understanding to the genetic basis of complex diseases that disproportionally affect African Americans.

Entities:  

Year:  2021        PMID: 33691021      PMCID: PMC7958994     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  39 in total

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2.  Matrix eQTL: ultra fast eQTL analysis via large matrix operations.

Authors:  Andrey A Shabalin
Journal:  Bioinformatics       Date:  2012-04-06       Impact factor: 6.937

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Authors:  Bernhard Palsson; Karsten Zengler
Journal:  Nat Chem Biol       Date:  2010-11       Impact factor: 15.040

4.  On Using Local Ancestry to Characterize the Genetic Architecture of Human Traits: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations.

Authors:  Yizhen Zhong; Minoli A Perera; Eric R Gamazon
Journal:  Am J Hum Genet       Date:  2019-05-16       Impact factor: 11.025

5.  Methylation of the glutathione-S-transferase M3 gene promoter is associated with oxidative stress in acute-on-chronic hepatitis B liver failure.

Authors:  Li Qi; Zhi-Qiang Zou; Li-Yuan Wang; Shuai Gao; Yu-Chen Fan; Bo Long; Yan-Mei Guo; Ai-Ling Xu; Jie Han; Tao Li; Kai Wang
Journal:  Tohoku J Exp Med       Date:  2012-09       Impact factor: 1.848

6.  A scaling normalization method for differential expression analysis of RNA-seq data.

Authors:  Mark D Robinson; Alicia Oshlack
Journal:  Genome Biol       Date:  2010-03-02       Impact factor: 13.583

7.  RNA-SeQC: RNA-seq metrics for quality control and process optimization.

Authors:  David S DeLuca; Joshua Z Levin; Andrey Sivachenko; Timothy Fennell; Marc-Danie Nazaire; Chris Williams; Michael Reich; Wendy Winckler; Gad Getz
Journal:  Bioinformatics       Date:  2012-04-25       Impact factor: 6.937

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  Reduced DNA methylation of the oxytocin receptor gene is associated with obsessive-compulsive disorder.

Authors:  Chun Il Park; Hae Won Kim; Sumoa Jeon; Jee In Kang; Se Joo Kim
Journal:  Clin Epigenetics       Date:  2020-07-06       Impact factor: 6.551

10.  Identification of 55,000 Replicated DNA Methylation QTL.

Authors:  Allan F McRae; Riccardo E Marioni; Sonia Shah; Jian Yang; Joseph E Powell; Sarah E Harris; Jude Gibson; Anjali K Henders; Lisa Bowdler; Jodie N Painter; Lee Murphy; Nicholas G Martin; John M Starr; Naomi R Wray; Ian J Deary; Peter M Visscher; Grant W Montgomery
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

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