DNA methylation-based variation between human populations.

Mol Genet Genomics

Department of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville Campus, Durban, 3629, South Africa.

Published: February 2017

Several studies have proved that DNA methylation affects regulation of gene expression and development. Epigenome-wide studies have reported variation in methylation patterns between populations, including Caucasians, non-Caucasians (Blacks), Hispanics, Arabs, and numerous populations of the African continent. Not only has DNA methylation differences shown to impact externally visible characteristics, but is also a potential biomarker for underlying racial health disparities between human populations. Ethnicity-related methylation differences set their mark during early embryonic development. Genetic variations, such as single-nucleotide polymorphisms and environmental factors, such as age, dietary folate, socioeconomic status, and smoking, impacts DNA methylation levels, which reciprocally impacts expression of phenotypes. Studies show that it is necessary to address these external influences when attempting to differentiate between populations since the relative impacts of these factors on the human methylome remain uncertain. The present review summarises several reported attempts to establish the contribution of differential DNA methylation to natural human variation, and shows that DNA methylation could represent new opportunities for risk stratification and prevention of several diseases amongst populations world-wide. Variation of methylation patterns between human populations is an exciting prospect which inspires further valuable research to apply the concept in routine medical and forensic casework. However, trans-generational inheritance needs to be quantified to decipher the proportion of variation contributed by DNA methylation. The future holds thorough evaluation of the epigenome to understand quantification, heritability, and the effect of DNA methylation on phenotypes. In addition, methylation profiling of the same ethnic groups across geographical locations will shed light on conserved methylation differences in populations.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00438-016-1264-2DOI Listing

Publication Analysis

Top Keywords

dna methylation
28
human populations
12
methylation
12
methylation differences
12
dna
8
populations
8
variation methylation
8
methylation patterns
8
variation
5
human
5

Similar Publications

Bisphenol A alters JUN promoter methylation, impairing steroid metabolism in placental cells and linking to sub-representative phenotypes.

Gene

January 2025

School of Life Sciences, Fudan University, Shanghai 200433, China; MOE Engineering Research Center of Gene Technology, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200433, China. Electronic address:

Bisphenol A (BPA) is a widely used industrial compound commonly found in various everyday plastic products. Known for its endocrine-disrupting properties, BPA can enter the human body through multiple pathways. Prenatal exposure to BPA not only disrupts placental structure and function but also interferes with normal steroid metabolism.

View Article and Find Full Text PDF

Decoding the protein methylome: Identification, validation, and functional insights.

Bioorg Med Chem

December 2024

Borch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue Institute for Drug Discovery, Purdue University Center for Cancer Research, Purdue University, West Lafayette, IN 47907, United States. Electronic address:

Protein methylation regulates diverse cellular processes including gene expression and DNA repair. This review discusses the methods of identifying and validating substrates for protein methyltransferases (MTases), as well as the biological roles of methylation. Meanwhile, we outline continued efforts necessary to fully map MTase-substrate pairs and uncover the complex regulatory roles of protein methylation in cellular function.

View Article and Find Full Text PDF

Background: DNA methylation (DNAm) data from human samples has been leveraged to develop "epigenetic clock" algorithms that predict age and other aging-related phenotypes. Some DNAm clocks were trained using DNAm obtained from blood cells, while other clocks were trained using data from diverse tissue/cell types. To assess how DNAm clocks perform across non-blood tissue types, we applied DNAm algorithms to DNAm data generated from 9 different human tissue types.

View Article and Find Full Text PDF

Background: During the latter stages of their development, mammalian oocytes under dramatic chromatin reconfiguration, transitioning from a non-surrounded nucleolus (NSN) to a surrounded nucleolus (SN) stage, and concomitant transcriptional silencing. Although the NSN-SN transition is known to be essential for developmental competence of the oocyte, less is known about the accompanying molecular changes. Here we examine the changes in the transcriptome and DNA methylation during the NSN to SN transition in mouse oocytes.

View Article and Find Full Text PDF

Childhood maltreatment exposure (CME) increases the risk of adverse long-term health consequences for the exposed individual. Animal studies suggest that CME may also influence the health and behaviour in the next generation offspring through CME-driven epigenetic changes in the germ line. Here we investigated the associated between early life stress on the epigenome of sperm in humans with history of CME.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!