Evidence map›Paper›PMID 31155008›Full record

ArticleGenome biology2019

A genomic atlas of systemic interindividual epigenetic variation in humans.

Chathura J Gunasekara, C Anthony Scott, Eleonora Laritsky, Maria S Baker, Harry MacKay, Jack D Duryea, Noah J Kessler, Garrett Hellenthal, Alexis C Wood, Kelly R Hodges and 9 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 4 pooled it
10.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 4 syntheses or guidelines pooled it, 128 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026
    Review
  13. Promoter hypomethylation ofFrontiers in genetics · 2026
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 3 countries.

Chathura J GunasekaraUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
C Anthony ScottUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Eleonora LaritskyUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Maria S BakerUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Harry MacKayUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Jack D DuryeaUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Noah J KesslerMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Keneba, The Gambia.
Garrett HellenthalDepartment of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
Alexis C WoodUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Kelly R HodgesDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA.
Manisha GandhiDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA.
Amy B HairDepartment of Pediatrics - Neonatology, Baylor College of Medicine, Houston, TX, USA.
Matt J SilverMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Keneba, The Gambia.
Sophie E MooreMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Keneba, The Gambia.
Andrew M PrenticeMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Keneba, The Gambia.
Yumei LiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Rui ChenHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Cristian CoarfaDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA. coarfa@bcm.edu.
Robert A WaterlandUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA. waterland@bcm.edu.ORCID 0000-0002-7401-3408
Baylor College of Medicine · USChildren's Nutrition Research Center at Baylor College of Medicine · USKing's College London · GBMRC Unit the Gambia · GMUniversity College London · GB

Funding

Epigenetic variation at metastable epialleles: Effects on human obesityR01DK111522 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI COARFA, CRISTIAN, WATERLAND, ROBERT A · 2017 to 2020
$1.8M
High Throughput Genomic Sequencer at BCM Core FacilityS10OD023469 · OD · BAYLOR COLLEGE OF MEDICINE · PI CHEN, RUI · 2017 to 2017
$600k
Overcoming Obstacles in Epigenetic Analysis of Human TwinsR21HD087860 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI WATERLAND, ROBERT A, WOOD, ALEXIS CAROLINE · 2016 to 2017
$389k
Medical Research Council MC-A760-5QX00Medical Research Council MC_EX_MR/M01424X/1Medical Research Council MC_U123292700Medical Research Council MC_UU_00026/3Medical Research Council MR/P012019/1NICHD NIH HHS R21 HD087860NIDDK NIH HHS R01 DK111522NIH HHS S10 OD023469Wellcome TrustWellcome Trust 098386/Z/12/Z
6 · The paper itself

Abstract

backgroundDNA methylation is thought to be an important determinant of human phenotypic variation, but its inherent cell type specificity has impeded progress on this question. At exceptional genomic regions, interindividual variation in DNA methylation occurs systemically. Like genetic variants, systemic interindividual epigenetic variants are stable, can influence phenotype, and can be assessed in any easily biopsiable DNA sample. We describe an unbiased screen for human genomic regions at which interindividual variation in DNA methylation is not tissue-specific.

resultsFor each of 10 donors from the NIH Genotype-Tissue Expression (GTEx) program, CpG methylation is measured by deep whole-genome bisulfite sequencing of genomic DNA from tissues representing the three germ layer lineages: thyroid (endoderm), heart (mesoderm), and brain (ectoderm). We develop a computational algorithm to identify genomic regions at which interindividual variation in DNA methylation is consistent across all three lineages. This approach identifies 9926 correlated regions of systemic interindividual variation (CoRSIVs). These regions, comprising just 0.1% of the human genome, are inter-correlated over long genomic distances, associated with transposable elements and subtelomeric regions, conserved across diverse human ethnic groups, sensitive to periconceptional environment, and associated with genes implicated in a broad range of human disorders and phenotypes. CoRSIV methylation in one tissue can predict expression of associated genes in other tissues.

conclusionsIn addition to charting a previously unexplored molecular level of human individuality, this atlas of human CoRSIVs provides a resource for future population-based investigations into how interindividual epigenetic variation modulates risk of disease.

Indexed as

DNA MethylationEpigenesis, GeneticGenome, HumanAgedBrainCase-Control StudiesChildDiseaseFemaleGambiaGenetic VariationHumansMaleMiddle AgedMyocardiumPregnancy

Identifiers

PMID31155008
PMCPMC6545702
OpenAlexW2947060096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.