Epigenetic clocks for gestational age: statistical and study design considerations

Andrew Simpkin; Matthew Suderman; Laura Howe

doi:10.1186/s13148-017-0402-y

Epigenetic clocks for gestational age: statistical and study design considerations

Andrew Simpkin, Matthew Suderman, Laura Howe

Research output: Contribution to journal › Article (Academic Journal) › peer-review

23 Citations (Scopus)

299 Downloads (Pure)

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
Number of pages	2
Journal	Clinical Epigenetics
Volume	9
DOIs	https://doi.org/10.1186/s13148-017-0402-y
Publication status	Published - 15 Sept 2017

Keywords

Prediction
DNA methylation
Gestational age
Epigenetic clock

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10.1186/s13148-017-0402-y

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This is the final published version of the article (version of record). It first appeared online via BioMed Central at https://clinicalepigeneticsjournal.biomedcentral.com/articles/10.1186/s13148-017-0402-y . Please refer to any applicable terms of use of the publisher.
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(IEU) Research Network: Interpreting epigenetic signatures in studies of early life adversity (IntESSELA)
Howe, L. D. (Principal Investigator)
1/12/15 → 30/06/18
Project: Research
Laura Howe Population Health Scientist Fellowship
Howe, L. D. (Principal Investigator)
1/09/15 → 31/12/22
Project: Research

Cite this

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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 = "Prediction, DNA methylation, Gestational age, Epigenetic clock",

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AU - Simpkin, Andrew

AU - Suderman, Matthew

AU - Howe, Laura

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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 - Prediction

KW - DNA methylation

KW - Gestational age

KW - Epigenetic clock

U2 - 10.1186/s13148-017-0402-y

DO - 10.1186/s13148-017-0402-y

M3 - Article (Academic Journal)

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VL - 9

JO - Clinical Epigenetics

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ER -

Epigenetic clocks for gestational age: statistical and study design considerations

Abstract

Keywords

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Projects

(IEU) Research Network: Interpreting epigenetic signatures in studies of early life adversity (IntESSELA)

Laura Howe Population Health Scientist Fellowship

Cite this