Goyal S, Rani J, Bhat MA, Vanita V. Genetics of diabetes. World J Diabetes 2023; 14(6): 656-679 [PMID: 37383588 DOI: 10.4239/wjd.v14.i6.656]
Corresponding Author of This Article
Vanita Vanita, PhD, Professor, Department of Human Genetics, Guru Nanak Dev University, GT Road, Amritsar 143005, Punjab, India. vanita.humangenetics@gmail.com
Research Domain of This Article
Genetics & Heredity
Article-Type of This Article
Review
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Jun 15, 2023; 14(6): 656-679 Published online Jun 15, 2023. doi: 10.4239/wjd.v14.i6.656
Genetics of diabetes
Shiwali Goyal, Jyoti Rani, Mohd Akbar Bhat, Vanita Vanita
Shiwali Goyal, Department of Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Rockville, MD 20852, United States
Jyoti Rani, Vanita Vanita, Department of Human Genetics, Guru Nanak Dev University, Amritsar 143005, Punjab, India
Mohd Akbar Bhat, Department of Ophthalmology, Georgetown University Medical Center, Washington DC, DC 20057, United States
Author contributions: Goyal S, Rani J, Bhat MA, Vanita V contributed data collection; Goyal S, Rani J, Bhat MA, Vanita V contributed manuscript writing; Vanita V contributed to edit the manuscript; All the authors have read and approved the final version of this manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Vanita Vanita, PhD, Professor, Department of Human Genetics, Guru Nanak Dev University, GT Road, Amritsar 143005, Punjab, India. vanita.humangenetics@gmail.com
Received: December 26, 2022 Peer-review started: December 26, 2022 First decision: February 28, 2023 Revised: March 13, 2023 Accepted: April 17, 2023 Article in press: April 17, 2023 Published online: June 15, 2023 Processing time: 170 Days and 16.2 Hours
Core Tip
Core Tip: Diabetes pathogenesis encompasses genetic, epigenetic, and environmental variables and their interactions. To date, the examined common variations can explain just a small portion of the heritability of diabetes. Furthermore, the technique of integrating the associated variants as a type of genetic risk score does not accurately predict diabetes risk. As a result, the trend for genetic risk factors for diabetes is shifting from common to rare variants. Aside from genetic variables, systemic data from other transomics such as epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics will contribute to a better understanding of genetic determinants in the progression of metabolic illnesses like diabetes. Technological, computational, and collaborative developments continue to uncover novel genetic diabetes risk factors. There are high prospects for tailored diabetes treatment in the future, based on increased knowledge of the molecular genetic profile of the patients.
