Epigenetic clocks for gestational age: Statistical and study design considerations

Andrew J. Simpkin; Matthew Suderman; Laura D. Howe

doi:10.1186/s13148-017-0402-y

Epigenetic clocks for gestational age: Statistical and study design considerations

Andrew J. Simpkin, Matthew Suderman, Laura D. Howe

Bristol Medical School

Research output: Contribution to a Journal (Peer & Non Peer) › Letter › peer-review

24 Citations (Scopus)

Abstract

In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data.

Original language	English
Article number	100
Journal	Clinical Epigenetics
Volume	9
Issue number	1
DOIs	https://doi.org/10.1186/s13148-017-0402-y
Publication status	Published - 15 Sep 2017
Externally published	Yes

Keywords

DNA methylation
Epigenetic clock
Gestational age at delivery
Prediction

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10.1186/s13148-017-0402-y

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title = "Epigenetic clocks for gestational age: Statistical and study design considerations",

abstract = "In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data.",

keywords = "DNA methylation, Epigenetic clock, Gestational age at delivery, Prediction",

author = "Simpkin, \{Andrew J.\} and Matthew Suderman and Howe, \{Laura D.\}",

note = "Publisher Copyright: {\textcopyright} 2017 The Author(s).",

year = "2017",

month = sep,

day = "15",

doi = "10.1186/s13148-017-0402-y",

language = "English",

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journal = "Clinical Epigenetics",

issn = "1868-7075",

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T1 - Epigenetic clocks for gestational age

T2 - Statistical and study design considerations

AU - Simpkin, Andrew J.

AU - Suderman, Matthew

AU - Howe, Laura D.

PY - 2017/9/15

Y1 - 2017/9/15

N2 - In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data.

AB - In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data.

KW - DNA methylation

KW - Epigenetic clock

KW - Gestational age at delivery

KW - Prediction

UR - https://www.scopus.com/pages/publications/85029522138

U2 - 10.1186/s13148-017-0402-y

DO - 10.1186/s13148-017-0402-y

M3 - Letter

SN - 1868-7075

VL - 9

JO - Clinical Epigenetics

JF - Clinical Epigenetics

IS - 1

M1 - 100

ER -

Epigenetic clocks for gestational age: Statistical and study design considerations

Abstract

Keywords

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