Identification of Biomarker for Stunting Through Prioritization of Gene-Assosiated Variants

Authors

  • Anisa Devi Kharisma Wibowo Universitas Ahmad Dahlan
  • Anisa Nova Puspitaningrum Department of Pharmacy, STIKES Telogorejo, Semarang
  • Muhammad Ma’ruf Universitas Ahmad Dahlan
  • Lalu Muhammad Irham Universitas Ahmad Dahlan
  • Woro Supadmi Faculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta,
  • Ayu Lifia Nur Kartikasari Universitas Ahmad Dahlan
  • Wirawan Adikusuma Departement of Pharmacy, University of Muhammadiyah Mataram, Mataram
  • Rockie Chong Department of Chemistry and Biochemistry, University of California, Los Angeles
  • Firman Firman Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta
  • Media Fitri Isma Isma Nugraha Research Centre for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency (BRIN), South Tangerang
  • Lalu Muhammad Harmain Siswanto Mataram Training Health Center, Indonesia Ministry of Health, Mataram
  • Sabiah Khairi School of Nursing, College of Nursing, Taipei Medical University, Taipei 1103
  • Satria Pranata Faculty of Nursing and Health Science, Universitas Muhammadiyah Semarang, Semarang

DOI:

https://doi.org/10.12928/mf.v21i1.28297

Keywords:

Stunting, Genomic Variant, Biomarker, Growth Disorder

Abstract

Stunting is a condition of impaired growth and development in children due to chronic nutritional disorders or infections. The risk factor for stunting is dominated by disease during 1000 days of life. The incidence of stunting in Indonesia is 21.6%, according to the Indonesian Nutrition Status Survey (SSGI) results. This study aimed to identify stunting biomarkers based on the priority scoring of gene variants. Identification of stunting risk genes used the Genome-Wide Association Studies (GWAS) approach and Haploreg v4.1. We found 33 genes that identifies as stunting risk gene. And then, we prioritize based on two functional annotation categories: missense-nonsense and cis-expression quantitative trait loci (cis-eQTL). Our analysis found 4 genes as biological stunting risk genes: MTRR, TTF1, CASP1, and CARD17. This research demonstrates the integration of genomic variants and bioinformatics approaches to reveal biological insights for stunting.

Downloads

Published

2024-05-16

Issue

Vol. 21 No. 1: March 2024

Section

Clinical Pharmacy

License

Authors who publish with Media Farmasi agree to the following terms:

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Lisensi Creative Commons

This work is licensed under a Creative Commons Attribution 4.0 International License