Publication Name	World Journal of Diabetes
Manuscript ID	7683
Country	United States

Received	2013-11-28 14:35
Peer-Review Started	2013-11-29 12:26
To Make the First Decision	2014-02-13 16:13
Return for Revision	2014-02-17 17:34
Revised	2014-02-21 09:51
Second Decision	2014-03-14 18:21
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2014-03-14 18:34
Articles in Press
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2014-04-11 09:54
Publish the Manuscript Online	2014-04-18 11:34

ISSN	1948-9358 (online)
Open Access
Copyright
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Genetics & Heredity
Manuscript Type	Topic Highlights
Article Title	Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility
Manuscript Source	Invited Manuscript
All Author List	Swapan Kumar Das and Neeraj Kumar Sharma
Funding Agency and Grant Number	Funding Agency Grant Number National Institutes of Health (NIH/NIDDK) R01 DK090111 National Institutes of Health (NIH/NIDDK) R01 DK039311
Corresponding Author	Swapan K Das, PhD, Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, NRC Building # E159, Winston-Salem, NC 27157, United States. sdas@wakehealth.edu
Key Words	Type 2 diabetes; Single nucleotide polymorphisms; Expression quantitative trait locus; Expression regulatory SNPs; Gene-environment interaction; Genome-wide association study
Core Tip	Identification of genetic variants that modulate the susceptibility to disease and elucidating their function at the molecular level is a major focus of type 2 diabetes (T2D) research. This article highlights the utility of expression quantitative trait analysis in discovering regulatory variants that increase susceptibility to T2D by modulating the expression of transcripts in tissues important for glucose homeostasis.
Publish Date	2014-04-18 11:34
Citation	Das SK, Sharma NK. Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility. World J Diabetes 2014; 5(2): 97-114
URL	http://www.wjgnet.com/1948-9358/full/v5/i2/97.htm
DOI	http://dx.doi.org/10.4239/wjd.v5.i2.97

Full Article (PDF)	WJD-5-97.pdf
Full Article (Word)	WJD-5-97.doc
Manuscript File	7683-Review.doc
Answering Reviewers	7683-Answering reviewers.pdf
Copyright License Agreement	7683-Copyright assignment.pdf
Peer-review Report	7683-Peer review(s).pdf
Scientific Editor Work List	7683-Scientific editor work list.doc