Association between Transcription Factor 7-like-2 Polymorphisms and Type 2 Diabetes Mellitus in a Ghanaian Population

Christian Obirikorang; Evans Asamoah Adu; Enoch Odame Anto; Emmanuel Acheampong; Lawrence Quaye; Brodrick Yeboah Amoah; Max Efui Annani-Akollor; Aaron Siaw Kwakye; Foster Fokuoh; Michael Appiah; Eric Nana Yaw Nyarko; Freeman Aidoo; Eric Adua; Ebenezer Afrifa-Yamoah; Lois Balmer; Wei Wang

doi:10.3390/sci3040040

Sci (Nov 2021)

Association between Transcription Factor 7-like-2 Polymorphisms and Type 2 Diabetes Mellitus in a Ghanaian Population

Christian Obirikorang,
Evans Asamoah Adu,
Enoch Odame Anto,
Emmanuel Acheampong,
Lawrence Quaye,
Brodrick Yeboah Amoah,
Max Efui Annani-Akollor,
Aaron Siaw Kwakye,
Foster Fokuoh,
Michael Appiah,
Eric Nana Yaw Nyarko,
Freeman Aidoo,
Eric Adua,
Ebenezer Afrifa-Yamoah,
Lois Balmer,
Wei Wang

Affiliations

Christian Obirikorang: Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi 6010, Ashanti Region, Ghana
Evans Asamoah Adu: Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi 6010, Ashanti Region, Ghana
Enoch Odame Anto: School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia
Emmanuel Acheampong: School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia
Lawrence Quaye: Department of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale 1519, Savana Region, Ghana
Brodrick Yeboah Amoah: Department of Medical Laboratory Sciences, Chemical Pathology Unit, School of Basic and Allied Health Sciences, University of Ghana, Accra 6777, Greater Accra, Ghana
Max Efui Annani-Akollor: Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi 6010, Ashanti Region, Ghana
Aaron Siaw Kwakye: Department of Medical Laboratory Science, Koforidua Technical University, Koforidua 7825, Eastern Region, Ghana
Foster Fokuoh: Eastern Regional Hospital, Koforidua 7825, Eastern Region, Ghana
Michael Appiah: Department of Medical Laboratory Technology, Accra Technical University, Accra 2659, Greater Accra Region, Ghana
Eric Nana Yaw Nyarko: Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi 6010, Ashanti Region, Ghana
Freeman Aidoo: Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi 6010, Ashanti Region, Ghana
Eric Adua: Medicine and Health Rural Clinical School, University of New South Wales, Wagga Wagga, NSW 2650, Australia
Ebenezer Afrifa-Yamoah: School of Science, Edith Cowan University, Perth, WA 6027, Australia
Lois Balmer: School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia
Wei Wang: School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia

DOI: https://doi.org/10.3390/sci3040040
Journal volume & issue: Vol. 3, no. 4
p. 40

Abstract

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Type 2 diabetes mellitus (T2DM) has been strongly associated with single nucleotide polymorphisms (SNPs) in the TCF7L2 gene. This study investigated the association between rs12255372, rs7903146 in the TCF7L2 gene and T2DM in a Ghanaian population. A case-control study design was used for this study. A total of 106 T2DM patients and 110 control participants were selected. Basic data collected included body mass index, blood pressure and socio-demographics. Fasting blood samples were collected and processed for: serum lipid analysis, plasma glucose estimation and plasma HbA1c estimation. Parts of the whole blood samples were used for DNA extraction using a modified salting-out method. Common and allele-specific primers were designed for genotyping using the Modified Tetra-Primer Amplification assay. Associations were evaluated using logistic regression models. The rs7903146 risk variant was significantly associated with 2.16 vs. 4.06 increased odds for T2DM in patients p < 0.05). The association between rs7903146 and rs12255372 with T2DM is more highly associated in a subgroup—women and those with T2DM-NFH, yet who have cardiometabolic risk.

Published in Sci

ISSN: 2413-4155 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: https://www.mdpi.com/journal/sci

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