THE EFFECTS OF GENETIC VARIANTS TOWARDS WEIGHT AND BIOCHEMICAL CHANGES IN WEIGHT MANAGEMENT PROGRAM

Received 2023-07-09; Accepted 2023-09-08; Published 2023-09-20

Authors

  • Ummi Mohlisi Mohd Asmawi Department of Pathology, Faculty of Medicine, Universiti Teknologi MARA, 47000 Selangor, Malaysia.
  • Nur Izatul Hanisah Abdul Halim Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, 42300 Selangor, Malaysia.
  • Syazana Arinatul Afiqah Mohiddin Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, 42300 Selangor, Malaysia.
  • Norashimah Rajab Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, 42300 Selangor, Malaysia.
  • Teh Lay Kek Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, 42300 Selangor, Malaysia.
  • Mohd Zaki Salleh Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, 42300 Selangor, Malaysia.
  • Muchtaruddin Mansyur Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Indonesia.
  • Norazmir Md Nor Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, 42300 Selangor, Malaysia.

DOI:

https://doi.org/10.22452/jummec.sp2023no2.29

Abstract

Genetic variation research indicates that 25% to 70% of body weight is determined by genetics. This study aimed to identify the influence of genetic variants on weight and biochemical data changes in participants who underwent a weight management program. A total of 30 obese participants were randomly assigned to either intervention or control groups. The study consisted of three phases: Phase I (pre-assessment), Phase II (intervention phase), and Phase III (post-assessment). The intervention and control groups were selected using block randomisation. The study involved 30 participants aged between 31 and 41 with a BMI of 32.8 ± 6.12 kg/m2. By examining the available data, it is possible to observe trends suggesting potential associations between certain genotypes and weight changes. Two specific variants, rs1726866 and rs1800497, significantly impacted glucose levels. Additionally, these two variants and another variant called rs1051168 were observed to influence cholesterol levels. These findings contribute to our understanding of the genetic factors that can potentially influence glucose and cholesterol metabolism and may have implications for personalised approaches to managing glucose and cholesterol-related conditions towards weight management programs.

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Published

2023-09-20