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Integrating genetic susceptibility into obesity risk prediction: Evidence from Jambi Malays with low-to- moderate physical activity

Proceedings Academic Universitas Jambi · Vol. 1 No. 2 (2025) · hlm. 790–799

DOI
10.22437/proca.v1i2.50458
Terbit
2025-11-30
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Background: Obesity results from interactions between genetic susceptibility and lifestyle. The association between FTO rs9939609 and obesity phenotype varies across populations, while the added value of genotype information in predictive models remains limited in Southeast Asia. Objective: To determine the association between FTO rs9939609 polymorphism and obesity, and to evaluate its contribution to predictive models incorporating demographic and lifestyle variables. Methods: A case–control study was conducted among 126 Malay adults (63 obese, 63 non-obese). Anthropometric indices, physical activity, and dietary intake were assessed. Genotyping of FTO rs9939609 was performed using the Tetra-ARMS PCR method. Logistic regression evaluated genotype–phenotype associations, and receiver operating characteristic (ROC) analysis assessed model discrimination. Results: Carriers of the AT genotype had higher odds of obesity than AA (adjusted OR = 3.20; 95 % CI 1.25–8.17; p = 0.015), while TT was not significant. Under the dominant model (AT + TT vs AA), T-allele carriers had nearly a three-fold increased risk (adjusted OR = 2.77; 95 % CI 1.13–6.82; p = 0.027). Incorporating genotype data improved prediction (AUC = 0.716 vs 0.655). Conclusion: The FTO rs9939609 variant contributes independently to obesity risk among Malay adults in Jambi and modestly enhances prediction accuracy when combined with lifestyle variables. Integrating genetic information may improve precision-based obesity-prevention strategies in Indonesian populations.

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  • Universitas Jambi
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Rekan penulisOrganisasiArtikel bersama
Wahyu Indah Dewi AuroraAfiliasi tidak diketahui45
Herlambang HerlambangUniversitas Jambi40
Susan TarawifaAfiliasi tidak diketahui36
Armaidi DarmawanAfiliasi tidak diketahui21
Ahmad SyauqyAfiliasi tidak diketahui17
Huntari HarahapAfiliasi tidak diketahui13
Tia Wida EkaputriAfiliasi tidak diketahui12
Nuriyah NuriyahAfiliasi tidak diketahui11
Afifah AmatullahAfiliasi tidak diketahui11
Tia Wida Ekaputri HzAfiliasi tidak diketahui10
Esa Indah AyudiaAfiliasi tidak diketahui10
Ima MariaAfiliasi tidak diketahui9
ELFIANI ELFIANIAfiliasi tidak diketahui9
Raihanah SuzanAfiliasi tidak diketahui8
Asro Hayani HarahapAfiliasi tidak diketahui7
Tia Wida Ekaputri HzAfiliasi tidak diketahui6
Denok Tri HardiningsihAfiliasi tidak diketahui5
Andika SulistiawanAfiliasi tidak diketahui4
NuriyahAfiliasi tidak diketahui4
AuroraAfiliasi tidak diketahui4
Hasna DewiAfiliasi tidak diketahui4
HafizahAfiliasi tidak diketahui4
Anati PurwakanthiAfiliasi tidak diketahui4
Siti RaudhohAfiliasi tidak diketahui4
Nindya AryantyAfiliasi tidak diketahui4
Attiya IstariniAfiliasi tidak diketahui4
Fathnur Sani KasmadiAfiliasi tidak diketahui3
Fairuz FairuzAfiliasi tidak diketahui3
HaninaAfiliasi tidak diketahui3
Putri Sari WulandariAfiliasi tidak diketahui3

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Integrating genetic susceptibility into obesity risk prediction: Evidence from Jambi Malays with low-to- moderate physical activity</dc:title>
	<dc:creator xml:lang="en">Puspasari, Anggelia</dc:creator>
	<dc:creator xml:lang="en">Maharani, Citra</dc:creator>
	<dc:creator xml:lang="en">Halim, Rita</dc:creator>
	<dc:creator xml:lang="en">Aurora, Wahyu Indah Dwi</dc:creator>
	<dc:creator xml:lang="en">Shafira, Nyimas Natasha Ayu</dc:creator>
	<dc:creator xml:lang="en">Fitri, Amelia Dwi</dc:creator>
	<dc:creator xml:lang="en">Kusdiyah, Erny</dc:creator>
	<dc:creator xml:lang="en">Hasmita, Debby</dc:creator>
	<dc:creator xml:lang="en">Enis, Rina Nofri</dc:creator>
	<dc:creator xml:lang="en">Perkasa, Tengku Arief Buana</dc:creator>
	<dc:subject xml:lang="en">FTO rs9939609; obesity; genetic susceptibility; prediction model; malay population; Indonesia</dc:subject>
	<dc:description xml:lang="en">Background: Obesity results from interactions between genetic susceptibility and lifestyle. The association between FTO rs9939609 and obesity phenotype varies across populations, while the added value of genotype information in predictive models remains limited in Southeast Asia. Objective: To determine the association between FTO rs9939609 polymorphism and obesity, and to evaluate its contribution to predictive models incorporating demographic and lifestyle variables. Methods: A case–control study was conducted among 126 Malay adults (63 obese, 63 non-obese). Anthropometric indices, physical activity, and dietary intake were assessed. Genotyping of FTO rs9939609 was performed using the Tetra-ARMS PCR method. Logistic regression evaluated genotype–phenotype associations, and receiver operating characteristic (ROC) analysis assessed model discrimination. Results: Carriers of the AT genotype had higher odds of obesity than AA (adjusted OR = 3.20; 95 % CI 1.25–8.17; p = 0.015), while TT was not significant. Under the dominant model (AT + TT vs AA), T-allele carriers had nearly a three-fold increased risk (adjusted OR = 2.77; 95 % CI 1.13–6.82; p = 0.027). Incorporating genotype data improved prediction (AUC = 0.716 vs 0.655). Conclusion: The FTO rs9939609 variant contributes independently to obesity risk among Malay adults in Jambi and modestly enhances prediction accuracy when combined with lifestyle variables. Integrating genetic information may improve precision-based obesity-prevention strategies in Indonesian populations.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2025-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/PROCA/article/view/50458</dc:identifier>
	<dc:identifier>10.22437/proca.v1i2.50458</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 1 No. 2 (2025): The 6th Jambi Medicine and Health Science International Conference (JAMHESIC); 790-799</dc:source>
	<dc:source>10.22437/proca.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/50458/22674</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Anggelia Puspasari, Citra Maharani, Rita Halim, Wahyu Indah Dwi Aurora, Nyimas Natasha Ayu Shafira, Amelia Dwi Fitri, Erny Kusdiyah, Debby Hasmita, Rina Nofri Enis, Tengku Arief Buana Perkasa</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>