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Updated: May 25, 2026

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Published on: April 5, 2018
Post genomic decade--the epigenome and exposome challenges.
1Department of Genetic and Laboratory Medicine, Geneva University Hospital and Swiss Centre for Applied Human Toxicology, Geneva University Medical School, Switzerland. Ariane.Giacobino@unige.ch
Human genome sequencing revealed complex variations beyond simple DNA changes. Understanding epigenetics and environmental exposures is crucial for linking genomic diversity to health and disease.
Area of Science:
- Genomics and Epigenetics
- Human Variation Research
Background:
- The human genome project generated vast DNA sequence data, enabling studies of human genetic variation.
- Previously underestimated complexity of genomic variations includes single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and epigenetic modifications.
Purpose of the Study:
- To explore the intricate landscape of human genomic diversity.
- To understand the role of epigenetics in gene expression regulation.
- To identify environmental factors influencing human health through genetic and epigenetic interactions.
Main Methods:
- Analysis of large-scale DNA sequence databases.
- Investigation of epigenetic mechanisms like DNA methylation, histone modifications, and non-coding RNAs (e.g., microRNAs).
- Correlating genomic and epigenomic data with phenotypic outcomes and disease states.
Main Results:
- Human genome variation is more complex than anticipated, involving both DNA sequence changes and epigenetic alterations.
- Epigenetic factors, including DNA methylation and histone acetylation, significantly regulate gene expression.
- Crosstalk between epigenetic elements influences the non-encoded regulation of gene expression.
Conclusions:
- Deciphering the full extent of human genomic and epigenomic diversity is the next frontier in genetics.
- Understanding the exposome (environmental exposures) is critical for comprehending its impact on health.
- Future research will focus on integrating genomic, epigenomic, and exposomic data to unravel disease mechanisms.
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