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A novel gene THSD7A is associated with obesity

Abstract

Body mass index (BMI) is a non-invasive measurement of obesity. It is commonly used for assessing adiposity and obesity-related risk prediction. Genetic differences between ethnic groups are important factors, which contribute to the variation in phenotypic effects. India inhabited by the first out-of-Africa human population and the contemporary Indian populations are admixture of two ancestral populations; ancestral north Indians (ANI) and ancestral south Indians (ASI). Although ANI are related to Europeans, ASI are not related to any group outside Indian-subcontinent. Hence, we expect novel genetic loci associated with BMI. In association analysis, we found eight genic SNPs in extreme of distribution (P3.75 × 10−5), of which WWOX has already been reported to be associated with obesity-related traits hence excluded from further study. Interestingly, we observed rs1526538, an intronic SNP of THSD7A; a novel gene significantly associated with obesity (P=2.88 × 10−5, 8.922 × 10−6 and 2.504 × 10−9 in discovery, replication and combined stages, respectively). THSD7A is neural N-glycoprotein, which promotes angiogenesis and it is well known that angiogenesis modulates obesity, adipose metabolism and insulin sensitivity, hence our result find a correlation. This information can be used for drug target, early diagnosis of obesity and treatment.

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References

  1. Kopelman PG . Obesity as a medical problem. Nature 2000; 404: 635–643.

    Article  CAS  Google Scholar 

  2. Roth J, Qiang X, Marban SL, Redelt H, Lowell BC . The obesity pandemic: where have we been and where are we going? Obes Res 2004; 12 (Suppl 2): 88S–101S.

    Article  Google Scholar 

  3. Wen W, Zheng W, Okada Y, Takeuchi F, Tabara Y, Hwang JY et al. Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index. Hum Mol Genet 2014; 23: 5492–5504.

    Article  CAS  Google Scholar 

  4. Graff M, Ngwa JS, Workalemahu T, Homuth G, Schipf S, Teumer A et al. Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course. Hum Mol Genet 2013; 22: 3597–3607.

    Article  CAS  Google Scholar 

  5. Berndt SI, Gustafsson S, Magi R, Ganna A, Wheeler E, Feitosa MF et al. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet 2013; 45: 501–512.

    Article  CAS  Google Scholar 

  6. Loos RJ, Lindgren CM, Li S, Wheeler E, Zhao JH, Prokopenko I et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40: 768–775.

    Article  CAS  Google Scholar 

  7. Monda KL, Chen GK, Taylor KC, Palmer C, Edwards TL, Lange LA et al. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. Nat Genet 2013; 45: 690–696.

    Article  CAS  Google Scholar 

  8. Okada Y, Kubo M, Ohmiya H, Takahashi A, Kumasaka N, Hosono N et al. Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations. Nat Genet 2012; 44: 302–306.

    Article  CAS  Google Scholar 

  9. Pei YF, Zhang L, Liu Y, Li J, Shen H, Liu YZ et al. Meta-analysis of genome-wide association data identifies novel susceptibility loci for obesity. Hum Mol Genet 2014; 23: 820–830.

    Article  CAS  Google Scholar 

  10. 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: 937–948.

    Article  CAS  Google Scholar 

  11. Thorleifsson G, Walters GB, Gudbjartsson DF, Steinthorsdottir V, Sulem P, Helgadottir A et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 2009; 41: 18–24.

    Article  CAS  Google Scholar 

  12. 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  Google Scholar 

  13. Tan LJ, Zhu H, He H, Wu KH, Li J, Chen XD et al. Replication of 6 obesity genes in a meta-analysis of genome-wide association studies from diverse ancestries. PLoS One 2014; 9: e96149.

    Article  Google Scholar 

  14. Reich D, Thangaraj K, Patterson N, Price AL, Singh L . Reconstructing Indian population history. Nature 2009; 461: 489–494.

    Article  CAS  Google Scholar 

  15. Moorjani P, Thangaraj K, Patterson N, Lipson M, Loh PR, Govindaraj P et al. Genetic evidence for recent population mixture in India. Am J Hum Genet 2013; 93: 422–438.

    Article  CAS  Google Scholar 

  16. IASO. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. World Health Organization Western Pecific Region, 2000.

  17. Korn JM, Kuruvilla FG, McCarroll SA, Wysoker A, Nemesh J, Cawley S et al. Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs. Nat Genet 2008; 40: 1253–1260.

    Article  CAS  Google Scholar 

  18. Patterson N, Price AL, Reich D . Population structure and eigenanalysis. PLoS Genet 2006; 2: e190.

    Article  Google Scholar 

  19. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559–575.

    Article  CAS  Google Scholar 

  20. Yang J, Lee SH, Goddard ME, Visscher PM . GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet 2011; 88: 76–82.

    Article  CAS  Google Scholar 

  21. Natarajan R, Turnbull BW, Slate EH, Clark LC . A computer program for sample size and power calculations in the design of multi-arm and factorial clinical trials with survival time endpoints. Comput Methods Programs Biomed 1996; 49: 137–147.

    Article  CAS  Google Scholar 

  22. Wang K, Li WD, Zhang CK, Wang Z, Glessner JT, Grant SF et al. A genome-wide association study on obesity and obesity-related traits. PLoS One 2011; 6: e18939.

    Article  CAS  Google Scholar 

  23. Been LF, Nath SK, Ralhan SK, Wander GS, Mehra NK, Singh J et al. Replication of association between a common variant near melanocortin-4 receptor gene and obesity-related traits in Asian Sikhs. Obesity (Silver Spring) 2010; 18: 425–429.

    Article  CAS  Google Scholar 

  24. Vasan SK, Fall T, Neville MJ, Antonisamy B, Fall CH, Geethanjali FS et al. Associations of variants in FTO and near MC4R with obesity traits in South Asian Indians. Obesity (Silver Spring) 2012; 20: 2268–2277.

    Article  CAS  Google Scholar 

  25. Kuo MW, Wang CH, Wu HC, Chang SJ, Chuang YJ . Soluble THSD7A is an N-glycoprotein that promotes endothelial cell migration and tube formation in angiogenesis. PLoS One 2011; 6: e29000.

    Article  CAS  Google Scholar 

  26. Wang CH, Chen IH, Kuo MW, Su PT, Lai ZY, Wang CH et al. Zebrafish Thsd7a is a neural protein required for angiogenic patterning during development. Dev Dyn 2011; 240: 1412–1421.

    Article  CAS  Google Scholar 

  27. Wang CH, Su PT, Du XY, Kuo MW, Lin CY, Yang CC et al. Thrombospondin type I domain containing 7A (THSD7A) mediates endothelial cell migration and tube formation. J Cell Physiol 2010; 222: 685–694.

    CAS  PubMed  Google Scholar 

  28. Cao Y . Angiogenesis modulates adipogenesis and obesity. J Clin Invest 2007; 117: 2362–2368.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by the Office of the Principal Scientific Advisor to Government of India; Department of Science and Technology (DST), Government of India (PRNSA/ADV/AYURVEDA/4/2007). KT was also supported by CSIR Network project—GENESIS (BSC0121), Government of India. We acknowledge the help of Dr Ketaki Bapat for her constant support throughout the project tenure.

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Correspondence to K Thangaraj.

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Supplementary Information accompanies this paper on International Journal of Obesity website

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Nizamuddin, S., Govindaraj, P., Saxena, S. et al. A novel gene THSD7A is associated with obesity. Int J Obes 39, 1662–1665 (2015). https://doi.org/10.1038/ijo.2015.144

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