Effect of gene-lifestyle interaction on gestational diabetes risk

Polina V. Popova; Alexandra A. Klyushina; Lyudmila B. Vasilyeva; Alexandra S. Tkachuk; Yana A. Bolotko; Andrey S. Gerasimov; Evgenii A. Pustozerov; Ekaterina N. Kravchuk; Alexander Predeus; Anna A. Kostareva; Elena N. Grineva

doi:10.18632/oncotarget.22999

Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.

As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Subscribe to receive alerts once a paper has been published by Oncotarget.

Impact Journals, LLC is the publisher of Oncotarget: www.impactjournals.com.

Impact Journals is a member of the Wellcome Trust List of Compliant Publishers.

Impact Journals is a member of the Society for Scholarly Publishing.

On December 23, 2022, Oncotarget server experienced a DDoS attack. As a result, Oncotarget site was inaccessible for a few hours. Oncotarget team swiftly dealt with the situation and took it under control. This malicious action will be reported to the FBI.

Research Papers:

Effect of gene-lifestyle interaction on gestational diabetes risk

Polina V. Popova _, Alexandra A. Klyushina, Lyudmila B. Vasilyeva, Alexandra S. Tkachuk, Yana A. Bolotko, Andrey S. Gerasimov, Evgenii A. Pustozerov, Ekaterina N. Kravchuk, Alexander Predeus, Anna A. Kostareva and Elena N. Grineva

PDF | HTML | How to cite

Oncotarget. 2017; 8:112024-112035. https://doi.org/10.18632/oncotarget.22999

Metrics: PDF 2562 views | HTML 3120 views | ?

Abstract

Polina V. Popova1,2, Alexandra A. Klyushina1, Lyudmila B. Vasilyeva1, Alexandra S. Tkachuk1, Yana A. Bolotko1, Andrey S. Gerasimov1, Evgenii A. Pustozerov1,3, Ekaterina N. Kravchuk1, Alexander Predeus4,5, Anna A. Kostareva1,4 and Elena N. Grineva1,2

1Almazov National Medical Research Centre, Saint Petersburg, Russia

2Department of Internal Diseases and Endocrinology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia

3Saint Petersburg Electrotechnical University, Saint Petersburg, Russia

4ITMO University, Saint Petersburg, Russia

5Bioinformatics Institute, Saint Petersburg, Russia

Correspondence to:

Polina V. Popova, email: [email protected]

Keywords: gestational diabetes mellitus; type 2 diabetes; lifestyle; single-nucleotide polymorphism; sausage consumption

Received: July 10, 2017 Accepted: November 27, 2017 Published: December 06, 2017

ABSTRACT

We hypothesized that the association of certain lifestyle parameters with gestational diabetes mellitus (GDM) risk would depend on susceptibility loci. In total, 278 Russian women with GDM and 179 controls completed questionnaires about lifestyle habits (food consumption, physical activity and smoking). GDM was diagnosed according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Maternal blood was sampled for genotyping single-nucleotide polymorphisms (SNPs) in MTNR1B (rs10830963 and rs1387153), GCK (rs1799884), KCNJ11 (rs5219), IGF2BP2 (rs4402960), TCF7L2 (rs7903146 and rs12255372), CDKAL1 (rs7754840), IRS1 (rs1801278) and FTO (rs9939609). Binary logistic regression revealed an interaction effect of sausage intake and the number of risk alleles of two SNPs (rs10830963 in MTNR1B and rs1799884 in GCK) on GDM risk (P < 0.001). Among women without risk alleles of these two SNPs, sausage consumption was positively associated with GDM risk (P trend = 0.045). This difference was not revealed in women carrying 1 or more risk alleles. The risk of GDM increased as the number of risk alles increased in participants with low and moderate sausage consumption (P trend <0.001 and 0.006, respectively), while the risk of GDM in women with high sausage consumption remained relatively high, independent of the number of risk alleles. These findings indicate that the association of sausage consumption with GDM risk can be determined based on the number of risk alleles of rs10830963 in MTNR1B and rs1799884 in GCK.

All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 22999

Publication Alerts

Research Papers:

Effect of gene-lifestyle interaction on gestational diabetes risk

Abstract