Literature DB >> 33719520

A transdisciplinary approach to understand the epigenetic basis of race/ethnicity health disparities.

Lucas A Salas1, Lauren C Peres2, Zaneta M Thayer3, Rick Wa Smith3,4, Yichen Guo5, Wonil Chung6,7,8, Jiahui Si8,9, Liming Liang7,8,10.   

Abstract

Health disparities correspond to differences in disease burden and mortality among socially defined population groups. Such disparities may emerge according to race/ethnicity, socioeconomic status and a variety of other social contexts, and are documented for a wide range of diseases. Here, we provide a transdisciplinary perspective on the contribution of epigenetics to the understanding of health disparities, with a special emphasis on disparities across socially defined racial/ethnic groups. Scientists in the fields of biological anthropology, bioinformatics and molecular epidemiology provide a summary of theoretical, statistical and practical considerations for conducting epigenetic health disparities research, and provide examples of successful applications from cancer research using this approach.

Entities:  

Keywords:  DNA methylation; anthropology; cancer health disparities; computational biology; epigenomics; ethnic groups; health status disparities; molecular epidemiology

Mesh:

Year:  2021        PMID: 33719520      PMCID: PMC8579937          DOI: 10.2217/epi-2020-0080

Source DB:  PubMed          Journal:  Epigenomics        ISSN: 1750-192X            Impact factor:   4.778


  106 in total

1.  missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.

Authors:  Belinda Phipson; Jovana Maksimovic; Alicia Oshlack
Journal:  Bioinformatics       Date:  2015-09-30       Impact factor: 6.937

Review 2.  DNA methylation-based variation between human populations.

Authors:  Farzeen Kader; Meenu Ghai
Journal:  Mol Genet Genomics       Date:  2016-11-04       Impact factor: 3.291

3.  The impact of historical trauma on health outcomes for indigenous populations in the USA and Canada: A systematic review.

Authors:  Joseph P Gone; William E Hartmann; Andrew Pomerville; Dennis C Wendt; Sarah H Klem; Rachel L Burrage
Journal:  Am Psychol       Date:  2019-01

4.  Patterns of DNA Methylation Across the Leptin Core Promoter in Four Diverse Asian and North American Populations.

Authors:  M J Mosher; P E Melton; P Stapleton; M S Schanfield; M H Crawford
Journal:  Hum Biol       Date:  2016-04       Impact factor: 0.553

5.  Racial variation in breast tumor promoter methylation in the Carolina Breast Cancer Study.

Authors:  Kathleen Conway; Sharon N Edmiston; Chiu-Kit Tse; Christopher Bryant; Pei Fen Kuan; Brionna Y Hair; Eloise A Parrish; Ryan May; Theresa Swift-Scanlan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-03-25       Impact factor: 4.254

Review 6.  Epigenetics and cancer: towards an evaluation of the impact of environmental and dietary factors.

Authors:  Zdenko Herceg
Journal:  Mutagenesis       Date:  2007-02-06       Impact factor: 3.000

7.  Methylation mediated silencing of TMS1/ASC gene in prostate cancer.

Authors:  Partha M Das; Kavitha Ramachandran; Jane Vanwert; Larry Ferdinand; Gopal Gopisetty; Isildinha M Reis; Rakesh Singal
Journal:  Mol Cancer       Date:  2006-07-18       Impact factor: 27.401

Review 8.  Quantitative assessment of the diagnostic role of FHIT promoter methylation in non-small cell lung cancer.

Authors:  Xin Geng; Weilin Pu; Yulong Tan; Zhouyi Lu; An Wang; Lixing Tan; Sidi Chen; Shicheng Guo; Jiucun Wang; Xiaofeng Chen
Journal:  Oncotarget       Date:  2017-01-24

9.  DNA methylation arrays as surrogate measures of cell mixture distribution.

Authors:  Eugene Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Carmen J Marsit; Heather H Nelson; John K Wiencke; Karl T Kelsey
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

Review 10.  Environmental epigenetics: prospects for studying epigenetic mediation of exposure-response relationships.

Authors:  Victoria K Cortessis; Duncan C Thomas; A Joan Levine; Carrie V Breton; Thomas M Mack; Kimberly D Siegmund; Robert W Haile; Peter W Laird
Journal:  Hum Genet       Date:  2012-06-28       Impact factor: 4.132

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  3 in total

Review 1.  "Big Data" Approaches for Prevention of the Metabolic Syndrome.

Authors:  Xinping Jiang; Zhang Yang; Shuai Wang; Shuanglin Deng
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.772

2.  Genomic and Transcriptomic Profiling of Brain Metastases.

Authors:  Christopher P Wardell; Emilie Darrigues; Annick De Loose; Madison P Lee; Murat Gokden; Issam Makhoul; Alan J Tackett; Analiz Rodriguez
Journal:  Cancers (Basel)       Date:  2021-11-09       Impact factor: 6.639

3.  Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study.

Authors:  Joshua J Levy; Rebecca M Lebeaux; Anne G Hoen; Brock C Christensen; Louis J Vaickus; Todd A MacKenzie
Journal:  Front Public Health       Date:  2021-11-05
  3 in total

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