Cited by 353Epigenetics and DNA MethylationGenetic Associations and EpidemiologyAssisted Reproductive Technology and Twin Pregnancy

A twin approach to unraveling epigenetics

Open access
Bell, Jordana T., Spector, Tim D.·2011·Trends in Genetics

Abstract

The regulation of gene expression plays a pivotal role in complex phenotypes, and epigenetic mechanisms such as DNA methylation are essential to this process. The availability of next-generation sequencing technologies allows us to study epigenetic variation at an unprecedented level of resolution. Even so, our understanding of the underlying sources of epigenetic variability remains limited. Twin studies have played an essential role in estimating phenotypic heritability, and these now offer an opportunity to study epigenetic variation as a dynamic quantitative trait. High monozygotic twin discordance rates for common diseases suggest that unexplained environmental or epigenetic factors could be involved. Recent genome-wide epigenetic studies in disease-discordant monozygotic twins emphasize the power of this design to successfully identify epigenetic changes associated with complex traits. We describe how large-scale epigenetic studies of twins can improve our understanding of how genetic, environmental and stochastic factors impact upon epigenetics, and how such studies can provide a comprehensive understanding of how epigenetic variation affects complex traits.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.tig.2010.12.005

Cites

113 of 113 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Contrasting the phenotypes of discordant and monozygotic twins enables control of genetic factors, providing a powerful strategy to identify disease-associated environmental factors, independent of underlying genomic sequence variation.

    “In particular, contrasting the phenotypes of discordant and monozygotic twins enables control of genetic factors, providing a powerful strategy to identify disease-associated environmental factors, independent of underlying genomic sequence variation [271].”
  • Investigating family members, especially contrasting discordant monozygotic (MZ) twins, is a powerful strategy for uncovering disease-associated environmental factors independent of underlying genomic sequence variation.

    “Investigating family members, especially contrasting discordant monozygotic (MZ) twins, is a powerful strategy for uncovering disease-associated environmental factors independent of underlying genomic sequence variation12.”

    From Fetal and postnatal metal dysregulation in autism (2017) · cites this paper as [12]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bell, J. T., & Spector, T. D.
Affiliations
St Thomas' Hospital (GB)
Corresponding author
  • Bell, Jordana T.
  • Spector, Tim D.
Venue
Trends in Genetics
Publisher
Elsevier BV
Published
2011-03
Volume
27
Issue
3
Pages
116-125
ISSN
0168-9525 (ISSN-L)
OpenAlex
W2031724786
Cited by
353
References
113
Citations by year
2026: 10 · 2025: 10 · 2024: 7 · 2023: 9 · 2022: 14 · 2021: 18 · 2020: 16 · 2019: 12 · 2018: 24 · 2017: 18 · 2016: 20 · 2015: 46 · 2014: 29 · 2013: 47 · 2012: 51
FWCI
4.30
Type
journal article
Language
en
Open access
Locations
  • Trends in Genetics (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
  • Wellcome Trust
  • National Institute for Health and Care Research
  • National Institutes of Health
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Assisted Reproductive Technology and Twin Pregnancy
Keywords
epigenetics, twin studies, monozygotic twin discordance, DNA methylation, epigenetic variation, gene expression regulation, complex traits, heritability, environmental factors, stochastic factors, disease
MeSH terms
Environment, Humans, Phenotype, Twins, Genetic Variation, Twin Studies as Topic, Epigenomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review