Genes Associated with Metabolism in Gestational Diabetes Mellitus: A New Categorization According to Risk Factors

Qianyan Zheng

2022

Abstract

Gestational Diabetes Mellitus (GDM) is a rising public health concern with a highly increased prevalence over the last decade. Previous genetic studies on GDM mainly focused on identifying genes associated with the shared genetic architecture between Type 2 Diabetes Mellitus (T2DM) and GDM. There is a relative lack of research on the unique genetic architecture of GDM. Thus, to shed light on the traits of GDM, this review provided a new categorization of genes with determined association with GDM based on their correspondence to some important risk factors, through combining out the related references. It was concluded that most genetic evidence concentrated in a history of GDM and a strong family history of diabetes. Evidence in obesity, polycystic ovary syndrome (PCOS), and ethnicity gave insights on other underlying mechanisms of GDM that are worth exploration.

Paper Citation

in Harvard Style

Zheng Q. (2022). Genes Associated with Metabolism in Gestational Diabetes Mellitus: A New Categorization According to Risk Factors. In Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB, ISBN 978-989-758-595-1, pages 295-302. DOI: 10.5220/0011202300003443

in Bibtex Style

@conference{icbeb22,
author={Qianyan Zheng},
title={Genes Associated with Metabolism in Gestational Diabetes Mellitus: A New Categorization According to Risk Factors},
booktitle={Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB,},
year={2022},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011202300003443},
isbn={978-989-758-595-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB,
TI - Genes Associated with Metabolism in Gestational Diabetes Mellitus: A New Categorization According to Risk Factors
SN - 978-989-758-595-1
AU - Zheng Q.
PY - 2022
SP - 295
EP - 302
DO - 10.5220/0011202300003443