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A twin approach to unraveling epigenetics

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A twin approach to unraveling epigenetics. / Bell, Jordana T.; Spector, Tim D.

In: Trends in Genetics, Vol. 27, No. 3, 03.2011, p. 116 - 125.

Research output: Contribution to journalLiterature review

Harvard

Bell, JT & Spector, TD 2011, 'A twin approach to unraveling epigenetics', Trends in Genetics, vol. 27, no. 3, pp. 116 - 125. https://doi.org/10.1016/j.tig.2010.12.005

APA

Bell, J. T., & Spector, T. D. (2011). A twin approach to unraveling epigenetics. Trends in Genetics, 27(3), 116 - 125. https://doi.org/10.1016/j.tig.2010.12.005

Vancouver

Bell JT, Spector TD. A twin approach to unraveling epigenetics. Trends in Genetics. 2011 Mar;27(3):116 - 125. https://doi.org/10.1016/j.tig.2010.12.005

Author

Bell, Jordana T. ; Spector, Tim D. / A twin approach to unraveling epigenetics. In: Trends in Genetics. 2011 ; Vol. 27, No. 3. pp. 116 - 125.

Bibtex Download

@article{6b7127abf55a49f1af8c5de0df6e8a4f,
title = "A twin approach to unraveling epigenetics",
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.",
author = "Bell, {Jordana T.} and Spector, {Tim D.}",
year = "2011",
month = "3",
doi = "10.1016/j.tig.2010.12.005",
language = "English",
volume = "27",
pages = "116 -- 125",
journal = "Trends in Genetics",
issn = "0168-9525",
publisher = "Elsevier Limited",
number = "3",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - A twin approach to unraveling epigenetics

AU - Bell, Jordana T.

AU - Spector, Tim D.

PY - 2011/3

Y1 - 2011/3

N2 - 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.

AB - 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.

U2 - 10.1016/j.tig.2010.12.005

DO - 10.1016/j.tig.2010.12.005

M3 - Literature review

VL - 27

SP - 116

EP - 125

JO - Trends in Genetics

JF - Trends in Genetics

SN - 0168-9525

IS - 3

ER -

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