Evolution of the human methylome in blood from embryo to ageing and cancer

Abstract DNA methylation establishes and maintains cellular identity, is copied at every cell division, and changes during ageing and in cancer. Yet how it evolves within individual somatic lineages over the human lifespan has not been observable. We reconstruct the evolutionary history of the methylome in human blood from matched whole-methylome and whole-genome sequencing of 1,183 single-cell derived haematopoietic colonies from 13 individuals, spanning 17 weeks post conception to 77 years of age, healthy haematopoiesis to malignancy, and including monozygotic twins. Heritable methylation change exceeds the rate of single base substitution by six orders of magnitude before birth and four orders thereafter, often affecting whole tracts of CpGs at once. Each blood cell carries ~300,000 somatic methylation changes before birth, including >3000 at large segments that remain stable for decades. We term these large segments embryonic epialleles: CpG tracts at which lineages of the same cell type within an individual carry different heritable methylation states, of which we identify ~250,000 across the cohort, with many recurring between individuals. Against this developmental mosaic, we time X-chromosome inactivation to the first few divisions of life. We show that epigenetic age reports the division history of whichever clones dominate blood, rather than the age of the individual, reframing the interpretation of methylation biomarkers. In clonal expansions and blood cancer, many methylation differences between an expansion and its background prove to be embryonic states inherited by the founder cell. Expansions do, however, converge on methylation change at Polycomb-associated regulatory regions, gaining methylation in most clades but losing it where DNMT3A is mutated. A few changes, at established cancer genes, including CDKN2B, ABL1 (in BCR::ABL1) and CACNA1D, arise only within clonal expansions, and bear the hallmarks of epigenetic drivers. Methylation states determine which transcript a gene produces, and whether it is expressed at all. Together with their heritability and variability between blood cells, these phenotypic consequences establish methylation mosaicism as a pervasive additional substrate for Darwinian somatic evolution.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-04
DOI
https://doi.org/10.21203/rs.3.rs-11370327/v1
Primary Topic
Epigenetics and DNA Methylation
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Evolution of the human methylome in blood from embryo to ageing and cancer

Daniel A. Leongamornlert, Michael Spencer Chapman, Aditi Vedi, Michael Andrew Quail et al.
Research Square
Epigenetics and DNA Methylation
preprint

Evolution of the human methylome in blood from embryo to ageing and cancer

Daniel A. Leongamornlert, Michael Spencer Chapman, Aditi Vedi, Michael Andrew Quail, Peter J. Campbell, Nicole Müller, Karim Mané, Ken To, Pierre Murat, Matthew P. Collin, Emily Mitchell, Xiaotian Liao, Joanna Baxter, Paul Milne, Nicholas Williams, Matthew Mayho, Steven L. Allen, Sean Laidlaw, Elisa Laurenti, Kudzai Nyamondo, Jyoti Nangalia, Clarissa N. Pacyna, Lori D. Kregar, Xin Wang, Jing Guo, Joe Lee, Aleksandra Kamizela, Kevin Dawson
preprint en

Abstract

Abstract DNA methylation establishes and maintains cellular identity, is copied at every cell division, and changes during ageing and in cancer. Yet how it evolves within individual somatic lineages over the human lifespan has not been observable. We reconstruct the evolutionary history of the methylome in human blood from matched whole-methylome and whole-genome sequencing of 1,183 single-cell derived haematopoietic colonies from 13 individuals, spanning 17 weeks post conception to 77 years of age, healthy haematopoiesis to malignancy, and including monozygotic twins. Heritable methylation change exceeds the rate of single base substitution by six orders of magnitude before birth and four orders thereafter, often affecting whole tracts of CpGs at once. Each blood cell carries ~300,000 somatic methylation changes before birth, including >3000 at large segments that remain stable for decades. We term these large segments embryonic epialleles: CpG tracts at which lineages of the same cell type within an individual carry different heritable methylation states, of which we identify ~250,000 across the cohort, with many recurring between individuals. Against this developmental mosaic, we time X-chromosome inactivation to the first few divisions of life. We show that epigenetic age reports the division history of whichever clones dominate blood, rather than the age of the individual, reframing the interpretation of methylation biomarkers. In clonal expansions and blood cancer, many methylation differences between an expansion and its background prove to be embryonic states inherited by the founder cell. Expansions do, however, converge on methylation change at Polycomb-associated regulatory regions, gaining methylation in most clades but losing it where DNMT3A is mutated. A few changes, at established cancer genes, including CDKN2B, ABL1 (in BCR::ABL1) and CACNA1D, arise only within clonal expansions, and bear the hallmarks of epigenetic drivers. Methylation states determine which transcript a gene produces, and whether it is expressed at all. Together with their heritability and variability between blood cells, these phenotypic consequences establish methylation mosaicism as a pervasive additional substrate for Darwinian somatic evolution.

Research Square
Northwell Health (US), University of Cambridge (GB), Cambridge University Hospitals NHS Foundation Trust (GB), Wellcome Sanger Institute (GB), Northwell Health Orthopaedic Institute (US), Newcastle University (GB)
Epigenetics and DNA Methylation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon