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Nutrigenomics and molecular nutrition

INSIG2 variants, dietary patterns and metabolic risk in Samoa

European Journal of Clinical Nutrition volume 67, pages 101–107 (2013)Cite this article

Subjects

Abstract

Background/objectives:

Association of insulin-induced gene 2 (INSIG2) variants with obesity has been confirmed in several but not all follow-up studies. Differences in environmental factors across populations may mask some genetic associations and therefore gene–environment interactions should be explored. We hypothesized that the association between dietary patterns and components of the metabolic syndrome could be modified by INSIG2 variants.

Subjects/methods:

We conducted a longitudinal study of adiposity and cardiovascular disease risk among 427 and 290 adults from Samoa and American Samoa (1990–1995). Principal component analysis on food items from a validated food frequency questionnaire was used to identify neotraditional and modern dietary patterns. We explored gene–dietary pattern interactions with the INSIG2 variants rs9308762 and rs7566605.

Results:

Results for American Samoans were mostly nonsignificant. In Samoa, the neotraditional dietary pattern was associated with lower triglycerides, body mass index (BMI), waist circumference, systolic and diastolic blood pressure and fasting glucose (all P-for-trend<0.05). The modern pattern was significantly associated with higher triglycerides, BMI, waist circumference and lower high-density lipoprotein-cholesterol (all P-for-trend<0.05). A significant interaction for triglycerides was found between the modern pattern and the rs9308762 polymorphism (P=0.04). Those from Samoa consuming the modern pattern have higher triglycerides if they are homozygous for the rs9308762 C allele.

Conclusions:

The common INSIG2 variant rs9308762 was associated with poorer metabolic control and a greater sensitivity of trigylcerides to a modern dietary pattern. Environmental factors need to be taken into account when assessing genetic associations across and within populations.

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Acknowledgements

This study was supported by NIH Grants AG09375, HL52611, DK55406 and DK59642 and from the Dean’s fund of the University of Cincinnati College of Medicine.

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Authors and Affiliations

  1. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA

    A Baylin

  2. Department of Epidemiology, Brown University Program in Public Health, Providence, RI, USA

    A Baylin & S T McGarvey

  3. Department of Environmental Health, Center for Genome Information, University of Cincinnati College of Medicine, Cincinnati, OH, USA

    R Deka

  4. Department of Health, American Samoa Government, Pago Pago, American Samoa

    J Tuitele

  5. Medical Specialist Clinic and National Health Services, Government of Samoa, Apia, Samoa

    S Viali

  6. Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA

    D E Weeks

  7. Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA

    D E Weeks

  8. International Health Institute, Brown University Program in Public Health, Providence, RI, USA

    S T McGarvey

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Baylin, A., Deka, R., Tuitele, J. et al. INSIG2 variants, dietary patterns and metabolic risk in Samoa. Eur J Clin Nutr 67, 101–107 (2013). https://doi.org/10.1038/ejcn.2012.124

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