On the power of epigenome-wide association studies using a disease-discordant twin design-Reference-Cited by-同舟云学术

On the power of epigenome-wide association studies using a disease-discordant twin design

Published:2018-06-29 Issue:23 Volume:34 Page:4073-4078
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Li Weilong¹^ORCID,Christiansen Lene¹,Hjelmborg Jacob¹,Baumbach Jan²³,Tan Qihua¹⁴

Affiliation:

1. Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark

2. Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark

3. Chair of Experimental Bioinformatics, TUM School of Life Science, Technical University of Munich, Munich, Germany

4. Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark

Funder

EFSD/CDS/Lilly Program award (2013)

Novo Nordisk Foundation Medical and Natural Sciences Research Grant

Lundbeckfonden

VILLUM Young Investigator

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/23/4073/26676765/bty532.pdf

Reference18 articles.

1. Are twins and singletons comparable? A study of disease-related and lifestyle characteristics in adult women;Andrew;Twin Res,2001

2. DNA methylation epigenotypes in breast cancer molecular subtypes;Bediaga;Breast Cancer Res,2010

3. The value of twins in epigenetic epidemiology;Bell;Int. J. Epidemiol,2012

4. A twin approach to unraveling epigenetics;Bell;Trends Genet,2011

5. Classical twin studies and beyond;Boomsma;Nat. Rev. Genet,2002

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