Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Association of rs9939609 in FTO with BMI among Polynesian peoples living in Aotearoa New Zealand and other Pacific nations

Abstract

The fat mass and obesity associated (FTO) locus consistently associates with higher body mass index (BMI) across diverse ancestral groups. However, previous small studies of people of Polynesian ancestries have failed to replicate the association. In this study, we used Bayesian meta-analysis to test rs9939609, the most replicated FTO variant, for association with BMI with a large sample (n = 6095) of Aotearoa New Zealanders of Polynesian (Māori and Pacific) ancestry and of Samoan people living in the Independent State of Samoa and in American Samoa. We did not observe statistically significant association within each separate Polynesian subgroup. Bayesian meta-analysis of the Aotearoa New Zealand Polynesian and Samoan samples resulted in a posterior mean effect size estimate of +0.21 kg/m2, with a 95% credible interval [+0.03 kg/m2, +0.39 kg/m2]. While the Bayes Factor (BF) of 0.77 weakly favors the null, the BF = 1.4 Bayesian support interval is [+0.04, +0.20]. These results suggest that rs9939609 in FTO may have a similar effect on mean BMI in people of Polynesian ancestries as previously observed in other ancestral groups.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Hawley NL, Minster RL, Weeks DE, Viali S, Reupena MS, Sun G, et al. Prevalence of adiposity and associated cardiometabolic risk factors in the Samoan genome-wide association study. Am J Hum Biol. 2014;26:491–501.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Merriman TR, Wilcox PL. Cardio-metabolic disease genetic risk factors among Maori and Pacific Island people in Aotearoa New Zealand: current state of knowledge and future directions. Ann Hum Biol. 2018;45:202–14.

    Article  PubMed  Google Scholar 

  3. Johnson RJ, Lanaspa MA, Sanchez-Lozada LG, Rivard CJ, Bjornstad PS, Merriman T, et al. Fat storage syndrome in Pacific peoples: A combination of environment and genetics? Pac Health Dialog. 2014;20:11–6.

    CAS  PubMed  Google Scholar 

  4. Sirugo G, Williams SM, Tishkoff SA. The missing diversity in human genetic studies. Cell 2019;177:1080.

    Article  CAS  PubMed  Google Scholar 

  5. Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007;316:889–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Dina C, Meyre D, Gallina S, Durand E, Korner A, Jacobson P, et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet. 2007;39:724–6.

    Article  CAS  PubMed  Google Scholar 

  7. Loos RJ, Yeo GS. The bigger picture of FTO: the first GWAS-identified obesity gene. Nat Rev Endocrinol. 2014;10:51–61.

    Article  CAS  PubMed  Google Scholar 

  8. Li H, Kilpelainen TO, Liu C, Zhu J, Liu Y, Hu C, et al. Association of genetic variation in FTO with risk of obesity and type 2 diabetes with data from 96,551 East and South Asians. Diabetologia 2012;55:981–95.

    Article  CAS  PubMed  Google Scholar 

  9. Willer CJ, Speliotes EK, Loos RJ, Li S, Lindgren CM, Heid IM, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet. 2009;41:25–34.

    Article  CAS  PubMed  Google Scholar 

  10. Ohashi J, Naka I, Kimura R, Natsuhara K, Yamauchi T, Furusawa T, et al. FTO polymorphisms in oceanic populations. J Hum Genet. 2007;52:1031–5.

    Article  PubMed  Google Scholar 

  11. Karns R, Viali S, Tuitele J, Sun G, Cheng H, Weeks DE, et al. Common variants in FTO are not significantly associated with obesity-related phenotypes among Samoans of Polynesia. Ann Hum Genet. 2012;76:17–24.

    Article  PubMed  Google Scholar 

  12. Krishnan M, Major TJ, Topless RK, Dewes O, Yu L, Thompson JMD, et al. Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Maori and Pacific (Polynesian) people living in Aotearoa/New Zealand. Diabetologia 2018;61:1603–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Minster RL, Hawley NL, Su C-T, Sun G, Kershaw EE, Cheng H, et al. A thrifty variant in CREBRF strongly influences body mass index in Samoans. Nat Genet. 2016;48:1049–54.

  14. Taylor RW, Brooking L, Williams SM, Manning PJ, Sutherland WH, Coppell KJ, et al. Body mass index and waist circumference cutoffs to define obesity in indigenous New Zealanders. Am J Clin Nutr. 2010;92:390–7.

    Article  CAS  PubMed  Google Scholar 

  15. Wallace SL, Robinson H, Masi AT, Decker JL, McCarty DJ, Yu TF. Preliminary criteria for the classification of the acute arthritis of primary gout. Arthritis Rheum. 1977;20:895–900.

    Article  CAS  PubMed  Google Scholar 

  16. Gogarten SM, Sofer T, Chen H, Yu C, Brody JA, Thornton TA, et al. Genetic association testing using the GENESIS R/Bioconductor package. Bioinformatics 2019;35:5346–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Conomos MP, Reiner AP, Weir BS, Thornton TA. Model-free Estimation of Recent Genetic Relatedness. Am J Hum Genet. 2016;98:127–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Zhou H, Sinsheimer JS, Bates DM, Chu BB, German CA, Ji SS, et al. OPENMENDEL: a cooperative programming project for statistical genetics. Hum Genet. 2020;139:61–71.

    Article  PubMed  Google Scholar 

  19. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2021. https://www.R-project.org/.

  20. Song X, Ionita-Laza I, Liu M, Reibman J, We Y. A General and Robust Framework for Secondary Traits Analysis. Genetics 2016;202:1329–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Wang J, Shete S. Estimation of odds ratios of genetic variants for the secondary phenotypes associated with primary diseases. Genet Epidemiol. 2011;35:190–200.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Winnard D, Wright C, Taylor WJ, Jackson G, Te Karu L, Gow PJ, et al. National prevalence of gout derived from administrative health data in Aotearoa New Zealand. Rheumatol (Oxf). 2012;51:901–9.

    Article  Google Scholar 

  23. Ziyatdinov A, Vazquez-Santiago M, Brunel H, Martinez-Perez A, Aschard H, Soria JM. lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals. BMC Bioinforma. 2018;19:68.

    Article  Google Scholar 

  24. Balduzzi S, Rucker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019;22:153–60.

    Article  PubMed  Google Scholar 

  25. Bartoš F, Maier M. RoBMA: An R Package for Robust Bayesian Meta-Analyses. R package version 2.0.0.14. 2020. https://CRAN.R-project.org/package=RoBMA.

  26. Maier M, Bartoš F, Wagenmakers E-J. Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging. Psychological Methods. 2022. Advance online publication. https://doi.org/10.1037/met0000405.

  27. Wagenmakers E-J, Gronau QF, Dablander F, Etz A. The Support Interval. Erkenntnis. 2022;87:589–601.

    Article  Google Scholar 

  28. Makowski D, Ben-Shachar MS, Lüdecke D. bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. J Open Source Softw. 2019;4:1541.

    Article  Google Scholar 

  29. Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 2020;581:434–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Trejaut JA, Kivisild T, Loo JH, Lee CL, He CL, Hsu CJ, et al. Traces of archaic mitochondrial lineages persist in Austronesian-speaking Formosan populations. PLoS Biol. 2005;3:e247.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Friedlaender JS, Friedlaender FR, Reed FA, Kidd KK, Kidd JR, Chambers GK, et al. The genetic structure of Pacific Islanders. PLoS Genet. 2008;4:e19.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Wen JY, Rush EC, Plank LD. Assessment of obesity in New Zealand Chinese: a comparative analysis of adults aged 30-39 years from five ethnic groups. N. Z Med J. 2010;123:87–98.

    PubMed  Google Scholar 

  33. Kilpelainen TO, Qi L, Brage S, Sharp SJ, Sonestedt E, Demerath E, et al. Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children. PLoS Med. 2011;8:e1001116.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Andreasen CH, Stender-Petersen KL, Mogensen MS, Torekov SS, Wegner L, Andersen G, et al. Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes 2008;57:95–101.

    Article  CAS  PubMed  Google Scholar 

  35. Corella D, Carrasco P, Sorli JV, Coltell O, Ortega-Azorin C, Guillen M, et al. Education modulates the association of the FTO rs9939609 polymorphism with body mass index and obesity risk in the Mediterranean population. Nutr Metab Cardiovasc Dis. 2012;22:651–8.

    Article  CAS  PubMed  Google Scholar 

  36. Di Renzo L, Cioccoloni G, Falco S, Abenavoli L, Moia A, Sinibaldi Salimei P, et al. Influence of FTO rs9939609 and Mediterranean diet on body composition and weight loss: a randomized clinical trial. J Transl Med. 2018;16:308.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban HJ, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet. 2009;41:527–34.

    Article  CAS  PubMed  Google Scholar 

  38. Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42:937–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Qi Q, Kilpelainen TO, Downer MK, Tanaka T, Smith CE, Sluijs I, et al. FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. Hum Mol Genet. 2014;23:6961–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Hertel JK, Johansson S, Sonestedt E, Jonsson A, Lie RT, Platou CG, et al. FTO, type 2 diabetes, and weight gain throughout adult life: a meta-analysis of 41,504 subjects from the Scandinavian HUNT, MDC, and MPP studies. Diabetes 2011;60:1637–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank the many participants who so generously donated their genetic samples and other information for the study. We would also like to thank Jordyn Allan, Jill Drake, Roddi Laurence, Christopher Franklin, Meaghan House, Fiona Taylor, and Gabrielle Sexton for recruitment of the Aotearoa-wide study participants; Ria Akuhata-Brown, Nancy Aupouri and Carol Ford for recruitment of Ngāti Porou Hauora participants; and NeSI (New Zealand eScience Infrastructure) for provision of compute resource. We are grateful for the contributions of Melania Selu and Vaimoana Lupematisila to the recruitment of the 2010 Samoan sample. We thank the Samoan participants and local village authorities and research assistants over the years. We acknowledge the support of our research collaboration with the Samoa Ministry of Health, Samoa Bureau of Statistics, Samoan Ministry of Women, Community and Social Development, and the American Samoa Department of Health. We would also like to thank the two anonymous reviewers whose comments and insights helped us improve our paper.

Funding

Research in Samoa and American Samoa was funded by the National Institutes of Health (R01-HL093093, R01-HL133040, R01-AG09375, R01-HL52611, R01-DK55406, P30-ES006096, and R01-DK59642). Research in New Zealand was funded by the Health Research Council of New Zealand (08/075, 10/548, 11/1075, 14/527), Lottery Health NZ, and the University of Otago.

Author information

Authors and Affiliations

Authors

Contributions

MK: Conceptualization; Data curation; Formal analysis; Visualization; Writing - original draft; Writing - review & editing. AP-G: Methodology; Formal analysis; Data curation; Writing - review & editing. EMR: Methodology; Formal analysis; Data curation; Writing - review & editing. TJM: Methodology; Data curation; Writing - review & editing. MC: Methodology; Data curation; Writing - review & editing. LKS: Funding acquisition; Investigation; Writing - review & editing. ND: Funding acquisition; Investigation; Writing - review & editing. JHH: Project administration; Writing - review & editing. MQ: Project administration; Writing - review & editing. HW: Project administration; Writing - review & editing. SL: Analysis; Methodology; Writing - review & editing. JCC: Writing - review & editing; Supervision. RLM: Project administration; Funding acquisition; Writing - review & editing; Supervision. NLH: Project administration; Investigation; Methodology; Funding acquisition. TN: Investigation; Writing - review & editing. MSR: Investigation; Writing - review & editing. RD: Methodology; Writing - review & editing. STMcG: Project administration; Funding acquisition; Investigation; Methodology; Writing - review & editing. TRM: Project administration; Funding acquisition; Investigation; Methodology; Writing - review & editing; Supervision. RM: Project administration; Funding acquisition; Investigation; Methodology; Writing - review & editing; Supervision. DEW: Conceptualization; Supervision; Funding acquisition; Data curation; Formal analysis; Visualization; Writing - original draft; Writing - review & editing.

Corresponding author

Correspondence to Daniel E. Weeks.

Ethics declarations

Competing interests

Some of the authors declared Financial and Non-Financial Relationships and Activities, and Conflicts of Interest regarding this manuscript as indicated in the supplementary materials. The sponsors had no role in study design, data collection, data analysis, data interpretation or writing of the report.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krishnan, M., Phipps-Green, A., Russell, E.M. et al. Association of rs9939609 in FTO with BMI among Polynesian peoples living in Aotearoa New Zealand and other Pacific nations. J Hum Genet 68, 463–468 (2023). https://doi.org/10.1038/s10038-023-01141-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s10038-023-01141-5

Search

Quick links