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Association of PGC-1α gene with type 2 diabetes in three unrelated endogamous groups of North-West India (Punjab): a case-control and meta-analysis study

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Abstract

PGC-1α (Peroxisome proliferator-activated receptor gamma, coactivator 1 alpha) plays a key role in glucose homeostasis inside liver and muscle. The impact of six polymorphisms of PGC-1α with Type 2 Diabetes (T2D) susceptibility was evaluated on 1125 samples comprising of 554 T2D cases and 571 controls among three endogamous groups (Bania, Brahmin and Jat Sikh) of North-West India (Punjab). Single-locus analysis showed a significant differential pattern of genetic association of PGC-1α among studied groups emphasizing the role of ethnicity towards disease susceptibility. Haplotypes G-A-G-G-C-C in Bania group; G-G-G-G-C-A in Brahmin; G-A-A-G-T-C, G-G-G-G-T-C in Jat Sikh groups conferred ~ two to fivefold increased T2D risk. Intriguingly, the haplotype combination G-A-G-G-C-C provided T2D risk in Banias whereas it played a protective role in Brahmins reflecting the role of ethnic heterogeneity. In the secondary structure prediction of mRNA, slight free energy change along with structural changes was observed between the wild and variant allele of rs3736265, rs8192678 and rs2970847 loci. Meta-analyses conducted on rs8192678 and rs2970847 variants illustrated the overall effect of minor alleles providing a higher risk for the T2D development. Divergence in genetic variants and haplotype combinations associated with T2D risk among studied groups is inferred from the present dataset, which strongly highlights the combinatorial effect of diverse ethnic background of the population under study with genetics towards susceptibility to complex diseases like T2D.

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References

  • Abdullah N, Attia J, Oldmeadow C, Scott RJ, Holliday EG (2014) The architecture of risk for type 2 diabetes: understanding Asia in the context of global findings. Int J Endocrinol. doi:10.1155/2014/593982

    PubMed  PubMed Central  Google Scholar 

  • American Diabetes Association (2011) Diagnosis and classification of diabetes mellitus. Diabetes Care 34:S11-S61

    PubMed Central  Google Scholar 

  • American Diabetes Association (2015) Standards of medical care in diabetes-2015. Diabetes Care 38:S1-S94

    Article  Google Scholar 

  • Andrulionytè L, Zacharova J, Chiasson J-L, Laakso M, STOP-NIDDM Study Group (2004) Common polymorphisms of the PPAR-γ2 (Pro12Ala) and PGC-1α (Gly482Ser) genes are associated with the conversion from impaired glucose tolerance to type 2 diabetes in the STOP-NIDDM trial. Diabetologia 47(12):2176–2184

    Article  Google Scholar 

  • Barroso I, Luan JA, Middelberg RP, Harding AH, Franks PW, Jakes RW et al (2003) Candidate gene association study in type 2 diabetes indicates a role for genes involved in β-cell function as well as insulin action. PLoS Biol 1:e20

    Article  PubMed  PubMed Central  Google Scholar 

  • Barroso I, Luan J, Sandhu MS, Franks PW, Crowley V, Schafer AJ et al (2006) Meta-analysis of the Gly482Ser variant in PPARGC1A in type 2 diabetes and related phenotypes. Diabetologia 49:501–505

    Article  CAS  PubMed  Google Scholar 

  • Begg CB, Mazumdar M (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics 50:1088–1101

    Article  CAS  PubMed  Google Scholar 

  • Bhardwaj S, Misra A, Misra R, Goel K, Bhatt SP, Rastogi K et al (2011) High prevalence of abdominal, intra-abdominal and subcutaneous adiposity and clustering of risk factors among urban Asian Indians in North India. PLoS One 6:e24362

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bhat A, Koul A, Rai E, Sharma S, Dhar MK, Bamezai RN (2007) PGC-1alpha Thr394Thr and Gly482Ser variants are significantly associated with T2DM in two North Indian populations: a replicate case-control study. Hum Genet 121:609–614

    Article  PubMed  Google Scholar 

  • Bhatia M (2013) Hunger and under-nutrition in green revolutionary state of Punjab. IJAFST 4:359–370

    Google Scholar 

  • Bjorntorp P (1990) “Portal” adipose tissue as a generator of risk factors for cardiovascular disease and diabetes. Arterioscler Thromb Vasc Biol 10:493–496

    Article  CAS  Google Scholar 

  • Charos AE, Reed BD, Raha D, Szekely AM, Weissman SM, Snyder M (2012) A highly integrated and complex PPARGC1A transcription factor binding network in HepG2 cells. Genome Res 22:1668–1679

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Corona JC, Duchen MR (2015) PPARgamma and PGC-1alpha as therapeutic targets in Parkinsons. Neurochem Res 40:308–316

    Article  CAS  PubMed  Google Scholar 

  • De Souza CT, Gasparetti AL, Pereira-da-Silva M, Araujo EP, Carvalheira JB, Saad MJA et al (2003) Peroxisome proliferator-activated receptor γ coactivator-1-dependent uncoupling protein-2 expression in pancreatic islets of rats: a novel pathway for neural control of insulin secretion. Diabetologia 46:1522–1531

    Article  PubMed  Google Scholar 

  • Egger M, Smith GD, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ek J, Andersen G, Urhammer SA, Gaede PH, Drivsholm T, Borch-Johnsen K et al (2001) Mutation analysis of peroxisome proliferator-activated receptor-gamma coactivator-1 (PGC-1) and relationships of identified amino acid polymorphisms to type II diabetes mellitus. Diabetologia 44:2220–2226

    Article  CAS  PubMed  Google Scholar 

  • Esterbauer H, Oberkofler H, Krempler F, Patsch W (1999) Human peroxisome proliferator activated receptor gamma coactivator 1 (PPARGC1) gene: cDNA sequence, genomic organization, chromosomal localization, and tissue expression. Genomics 62(1):98–102

    Article  CAS  PubMed  Google Scholar 

  • Gaspar P, Moura G, Santos MA, Oliveira JL (2013) mRNA secondary structure optimization using a correlated stem–loop prediction. Nucleic Acids Res 41:e73-e73

    Article  Google Scholar 

  • Handschin C, Spiegelman BM (2006) Peroxisome proliferator-activated receptor gamma coactivator 1 coactivators, energy homeostasis, and metabolism. Endocr Rev 27:728–735

    Article  CAS  PubMed  Google Scholar 

  • Hara K, Tobe K, Okada T, Kadowaki H, Akanuma Y, Ito C et al (2002) A genetic variation in the PGC-1 gene could confer insulin resistance and susceptibility to type II diabetes. Diabetologia 45:740–743

    Article  CAS  PubMed  Google Scholar 

  • Higgins J, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558

    Article  PubMed  Google Scholar 

  • Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327:557–560

    Article  PubMed  PubMed Central  Google Scholar 

  • Holliday EG (2013) Hints of unique genetic effects for type 2 diabetes in India. Diabetes 62:1369–1370

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Indian Genome Variation Consortium (2008) Genetic landscape of the people of India: a canvas for disease gene exploration. J Genet 87(1):3–20

    Article  Google Scholar 

  • International Diabetes Federation (2015) IDF Diabetes Atlas, 7th edn. Brussels: International Diabetes Federation

    Google Scholar 

  • Jove M, Salla J, Planavila A, Cabrero A, Michalik L, Wahli W et al (2004) Impaired expression of NADH dehydrogenase subunit 1 and PPARγ coactivator-1 in skeletal muscle of ZDF rats restoration by troglitazone. J Lipid Res 45:113–123

    Article  CAS  PubMed  Google Scholar 

  • Kaul N, Singh YP, Bhanwer AJS (2015) The influence of ethnicity in the association of WC, WHR, hypertension and PGC-1α (Gly482Ser), UCP2-866 G/A and SIRT1-1400 T/C polymorphisms with T2D in the population of Punjab. Gene 563:150–154

    Article  CAS  PubMed  Google Scholar 

  • Kunej T, Globocnik M, Dovc P, Peterlin B, Petrovic D (2004) A Gly482Ser polymorphism of the peroxisome proliferator-activated receptor-gamma coactivator-1 (PGC-1) gene is associated with type 2 diabetes in Caucasians. Folia Biol (Praha) 50:157–158

    CAS  Google Scholar 

  • Lin J, Wu PH, Tarr PT, Lindenberg KS, St Pierre J, Zhang CY et al (2004) Defects in adaptive energy metabolism with CNS-linked hyperactivity in PGC-1alpha null mice. Cell 119:121–135

    Article  CAS  PubMed  Google Scholar 

  • Lin J, Handschin C, Spiegelman BM (2005) Metabolic control through the PGC-1 family of transcription coactivators. Cell Metab 1:361–370

    Article  PubMed  Google Scholar 

  • Lin PI, Vance JM, Pericak-Vance MA, Martin ER (2007) No gene is an island: the flip-flop phenomenon. Am J Hum Genet 80:531–538

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ling C, Del Guerra S, Lupi R, Ronn T, Granhall C, Luthman H et al (2008) Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion. Diabetologia 51:615–622

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lu W, Yan X, Huang Q, Hu Y, Zhong M, Huang Z et al (2008) Study of the 482G/A variation in PGC-1alpha gene domain MEF2C as possible mechanism of type 2 diabetes. Chin J Med Genet 25:616–623

    CAS  Google Scholar 

  • Matharoo K, Arora P, Bhanwer AJS (2013) Association of adiponectin (AdipoQ) and sulphonylurea receptor (ABCC8) gene polymorphisms with type 2 diabetes in North Indian population of Punjab. Gene 527:228–234

    Article  CAS  PubMed  Google Scholar 

  • Mensink M, Hesselink MKC, Russell AP, Schaart G, Sels JP, Schrauwen P (2007) Improved skeletal muscle oxidative enzyme activity and restoration of PGC-1α and PPARβ/δ gene expression upon rosiglitazone treatment in obese patients with type 2 diabetes mellitus. Int J Obes 31:1302–1310

    Article  CAS  Google Scholar 

  • Miller SA, Dykes DD, Polesky HF (1988) A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 16:1215

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Misra A, Khurana L (2007) Salt intake and hypertension: walking the tight rope. J Assoc Phys India 55:401–403

    CAS  Google Scholar 

  • Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J et al (2003) PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nature Genet 34:267–273

    Article  CAS  PubMed  Google Scholar 

  • Muller YL, Bogardus C, Pedersen O, Baier L (2003) A Gly482Ser missense mutation in the peroxisome proliferator-activated receptor gamma coactivator-1 is associated with altered lipid oxidation and early insulin secretion in Pima Indians. Diabetes 52:895–898

    Article  PubMed  Google Scholar 

  • Ng PC, Henikoff S (2001) Predicting deleterious amino acid substitutions. Genome Res 11:863–874

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Oberkofler H, Linnemayr V, Weitgasser R, Klein K, Xie M, Iglseder B et al (2004) Complex haplotypes of the PGC-1alpha gene are associated with carbohydrate metabolism and type 2 diabetes. Diabetes 53:1385–1393

    Article  CAS  PubMed  Google Scholar 

  • Pratley RE, Thompson DB, Prochazka M, Baier L, Mott D, Ravussin E, Sakul H, Ehm MG, Burns DK, Foroud T, Garvey WT, Hanson RL, Knowler WC, Bennett PH, Bogardus C (1998) An autosomal genomic scan for loci linked to prediabetic phenotypes in Pima Indians. J Clin Invest 101(8):1757–1764

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Puigserver P, Spiegelman BM (2003) Peroxisome proliferator-activated receptor-gamma coactivator 1 alpha (PGC-1 alpha): transcriptional coactivator and metabolic regulator. Endocr Rev 24:78–90

    Article  CAS  PubMed  Google Scholar 

  • Rai E, Sharma S, Koul A, Bhat AK, Bhanwer AJ, Bamezai RN (2007) Interaction between the UCP2-866G/A, mtDNA 10398G/A and PGC1alpha p.Thr394Thr and p.Gly482Ser polymorphisms in type 2 diabetes susceptibility in North Indian Population. Hum Genet 122:535–540

    Article  CAS  PubMed  Google Scholar 

  • Ramachandran A, Ma RC, Snehalatha C (2010) Diabetes in Asia. Lancet 375:408–418

    Article  PubMed  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rowe GC, Arany Z (2014) Genetic models of PGC-1 and glucose metabolism and homeostasis. Rev Endocr Metab Disord 15:21–29

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sethi S, Panjaliya RK, Kumar P, Gupta S, Bhanwer AJS (2015) Comprehensive SNP Analysis of Genes in Cholestrol Metabolism (PGC 1 Alpha), Insulin Signaling (IRS1), Potassium Channel (KCNJ11) and Glucose Homeostasis (PI3K) in Three Diversified Groups. J Diabetes Metab 6:2. doi:10.4172/2155-6156.1000531

    Google Scholar 

  • Sharma R, Matharoo K, Kapoor R, Chopra H, Bhanwer AJS (2013) Ethnic differences in CAPN10 SNP-19 for type 2 diabetes: a North-West Indian case control study and evidence from Meta analysis. Genet Res 95:146–155

    Article  CAS  Google Scholar 

  • Sikka R, Raina P, Matharoo K, Bandesh K, Bhatia R, Chakrabarti S, Bhanwer AJ (2014) TNF-α (g.-308G>A) and ADIPOQ (g.+45T>G) gene polymorphisms in type 2 diabetes and microvascular complications in the region of Punjab (North-West India). Curr Eye Res 39:1042–1051

  • Skol AD, Scott LJ, Abecasis GR, Boehnke M (2006) Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nature Genet 38:209–213

    Article  CAS  PubMed  Google Scholar 

  • Soyal S, Krempler F, Oberkofler H, Patsch W (2006) PGC-1alpha: A potent transcriptional cofactor involved in the pathogenesis of type 2 diabetes. Diabetologia 49:1477–1488

    Article  CAS  PubMed  Google Scholar 

  • Villegas R, Williams SM, Gao YT, Long J, Shi J, Cai H et al (2014) Genetic variation in the peroxisome proliferator-activated receptor (PPAR) and peroxisome proliferator-activated receptor gamma co-activator 1 (PGC1) gene families and type 2 diabetes. Ann Hum Genet 78:23–32

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Vimaleswaran KS, Radha V, Ghosh S, Majumder PP, Deepa R, Babu HN et al (2005) Peroxisome proliferator-activated receptor-gamma co-activator-1alpha (PGC-1alpha) gene polymorphisms and their relationship to type 2 diabetes in Asian Indians. Diabetic Med 22:1516–1521

    Article  CAS  PubMed  Google Scholar 

  • Wakabayashi I (2012) Age-dependent influence of gender on the association between obesity and a cluster of cardiometabolic risk factors. Gend Med 9:267–277

    Article  PubMed  Google Scholar 

  • Wu Y, Ding Y, Tanaka Y, Zhang W (2014) Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci 11:1185

    Article  PubMed  PubMed Central  Google Scholar 

  • Yesudhas YD (2013) Epigenetic regulation of PGC1-α in human type 2 diabetes. J Biophys Struct Biol 5:1–9

    CAS  Google Scholar 

  • Zhang SL, Lu WS, Yan L, Wu MC, Xu MT, Chen LH et al (2007) Association between peroxisome proliferator-activated receptor-gamma coactivator-1alpha gene polymorphisms and type 2 diabetes in southern chinese population: role of altered interaction with myocyte enhancer factor 2c. Chin Med J (Engl) 120:1878–1885

    CAS  Google Scholar 

  • Zhu S, Liu Y, Wang X, Wu X, Zhu X, Li J et al (2009) Evaluation of the association between the PPARGC1A genetic polymorphisms and type 2 diabetes in Han Chinese population. Diabetes Res Clin Pract 86:168–172

    Article  CAS  PubMed  Google Scholar 

  • Zuker M, Sankoff D (1984) RNA secondary structures and their prediction. Bull Math Biol 46:591–621

    Article  CAS  Google Scholar 

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Acknowledgements

The financial assistance to Sharma R. by ICMR is acknowledged. Financial support under the DBT through project grant: BT/PR8846/MED/12/327/2007 (DBT, India) to Bhanwer AJS at Guru Nanak Dev University, Amritsar is highly acknowledged.

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Correspondence to Kawaljit Matharoo.

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All the procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Communicated by S. Hohmann.

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Supplementary material 1 (DOCX 14 KB)

438_2017_1385_MOESM2_ESM.tif

Supplementary Figure 1: Evaluation of publication bias of PGC-1α (Gly482Ser) rs8192678 polymorphism using a funnel plot. The horizontal line in the funnel plot indicates the random effects summary estimate, while the sloping lines indicate the expected 95% CIs for a given standard error, assuming no heterogeneity between studies. Each circle represents a study (TIF 70 KB)

438_2017_1385_MOESM3_ESM.tif

Supplementary Figure 2: Evaluation of publication bias of PGC-1α (Thr394Thr) rs2970847 polymorphism using a funnel plot. The horizontal line in the funnel plot indicates the random effects summary estimate, while the sloping lines indicate the expected 95% CIs for a given standard error, assuming no heterogeneity between studies. Each circle represents a study (TIF 69 KB)

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Sharma, R., Matharoo, K., Kapoor, R. et al. Association of PGC-1α gene with type 2 diabetes in three unrelated endogamous groups of North-West India (Punjab): a case-control and meta-analysis study. Mol Genet Genomics 293, 317–329 (2018). https://doi.org/10.1007/s00438-017-1385-2

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