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Updated: May 18, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Human-specific CpG "beacons" identify loci associated with human-specific traits and disease
Christopher G Bell1, Gareth A Wilson, Lee M Butcher
1Medical Genomics, UCL Cancer Institute, University College London, London, UK. christopher.bell@ucl.ac.uk
CpG beacons, a novel genomic feature, drive human evolution and traits by influencing DNA methylation and CpG island regulation. These species-specific elements are linked to developmental and neurological diseases.
Area of Science:
- Genomics
- Epigenetics
- Evolutionary Biology
Background:
- Regulatory changes are hypothesized to distinguish human phenotypes from primates.
- CpG dinucleotides and DNA methylation are key epigenetic regulatory mechanisms.
- Species-specific CpG patterns may underlie species-specific gene regulation.
Purpose of the Study:
- To investigate the role of CpG dinucleotides in human phenotypic evolution.
- To identify and characterize a novel genomic feature, CpG beacons.
- To explore the association of CpG beacons with human traits and diseases.
Main Methods:
- Comparative genomics across primates to identify species-specific CpG dinucleotides (CpG beacons).
- Analysis of CpG beacon clusters in humans and their association with disease-related genes.
- MeDIP-seq in human, chimpanzee, and macaque to assess methylation changes in CpG islands (CGIs).
Main Results:
- Identified 21 extreme CpG beacon clusters in humans, associated with monogenic developmental and neurological disease genes.
- Demonstrated that CpG beacon-mediated CpG density gain in CGIs correlates with reduced methylation over evolutionary time.
- Highlighted CpG beacons as genomic loci with significant genetic sequence and epigenetic state interaction.
Conclusions:
- CpG beacons represent a distinct genomic feature influencing CGI evolution and human traits.
- CpG beacons play a role in the regulatory divergence of human phenotype.
- These findings provide insights into the interplay of genetics and epigenetics in evolution and disease.
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