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

17 Citations (Scopus)

260 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 Sep 2017

Keywords

Prediction
DNA methylation
Gestational age
Epigenetic clock

Access to Document

10.1186/s13148-017-0402-y

Full-text PDF (final published version)
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.
Final published version, 299 KBLicence: CC BY

Handle.net

Persistent link

1 Finished
1 Active

Laura Howe Population Health Scientist Fellowship
Howe, L. D.
1/09/15 → 31/12/22
Project: Research
(IEU) Research Network: Interpreting epigenetic signatures in studies of early life adversity (IntESSELA)
Howe, L. D.
1/12/15 → 30/06/18
Project: Research

Cite this

@article{19793d787d3c4c76aeea07c55145681f,

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",

author = "Andrew Simpkin and Matthew Suderman and Laura Howe",

year = "2017",

month = sep,

day = "15",

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

language = "English",

volume = "9",

journal = "Clinical Epigenetics",

issn = "1868-7075",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Epigenetic clocks for gestational age

T2 - statistical and study design considerations

AU - Simpkin, Andrew

AU - Suderman, Matthew

AU - Howe, Laura

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 - 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)

C2 - 28932320

VL - 9

JO - Clinical Epigenetics

JF - Clinical Epigenetics

SN - 1868-7075

M1 - 100

ER -

Epigenetic clocks for gestational age: statistical and study design considerations

Abstract

Keywords

Access to Document

Handle.net

Fingerprint

Projects

Laura Howe Population Health Scientist Fellowship

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

Cite this