#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in and Enrichment for Risk Variants in Lean Compared to Obese Cases


Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI<25 Kg/m2) compared to obese cases (BMI≥30 Kg/m2). We performed two case-control genome-wide studies using two accepted cut-offs for defining individuals as overweight or obese. We used 2,112 lean type 2 diabetes cases (BMI<25 kg/m2) or 4,123 obese cases (BMI≥30 kg/m2), and 54,412 un-stratified controls. Replication was performed in 2,881 lean cases or 8,702 obese cases, and 18,957 un-stratified controls. To assess the effects of known signals, we tested the individual and combined effects of SNPs representing 36 type 2 diabetes loci. After combining data from discovery and replication datasets, we identified two signals not previously reported in Europeans. A variant (rs8090011) in the LAMA1 gene was associated with type 2 diabetes in lean cases (P = 8.4×10−9, OR = 1.13 [95% CI 1.09–1.18]), and this association was stronger than that in obese cases (P = 0.04, OR = 1.03 [95% CI 1.00–1.06]). A variant in HMG20A—previously identified in South Asians but not Europeans—was associated with type 2 diabetes in obese cases (P = 1.3×10−8, OR = 1.11 [95% CI 1.07–1.15]), although this association was not significantly stronger than that in lean cases (P = 0.02, OR = 1.09 [95% CI 1.02–1.17]). For 36 known type 2 diabetes loci, 29 had a larger odds ratio in the lean compared to obese (binomial P = 0.0002). In the lean analysis, we observed a weighted per-risk allele OR = 1.13 [95% CI 1.10–1.17], P = 3.2×10−14. This was larger than the same model fitted in the obese analysis where the OR = 1.06 [95% CI 1.05–1.08], P = 2.2×10−16. This study provides evidence that stratification of type 2 diabetes cases by BMI may help identify additional risk variants and that lean cases may have a stronger genetic predisposition to type 2 diabetes.


Vyšlo v časopise: Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in and Enrichment for Risk Variants in Lean Compared to Obese Cases. PLoS Genet 8(5): e32767. doi:10.1371/journal.pgen.1002741
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1002741

Souhrn

Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI<25 Kg/m2) compared to obese cases (BMI≥30 Kg/m2). We performed two case-control genome-wide studies using two accepted cut-offs for defining individuals as overweight or obese. We used 2,112 lean type 2 diabetes cases (BMI<25 kg/m2) or 4,123 obese cases (BMI≥30 kg/m2), and 54,412 un-stratified controls. Replication was performed in 2,881 lean cases or 8,702 obese cases, and 18,957 un-stratified controls. To assess the effects of known signals, we tested the individual and combined effects of SNPs representing 36 type 2 diabetes loci. After combining data from discovery and replication datasets, we identified two signals not previously reported in Europeans. A variant (rs8090011) in the LAMA1 gene was associated with type 2 diabetes in lean cases (P = 8.4×10−9, OR = 1.13 [95% CI 1.09–1.18]), and this association was stronger than that in obese cases (P = 0.04, OR = 1.03 [95% CI 1.00–1.06]). A variant in HMG20A—previously identified in South Asians but not Europeans—was associated with type 2 diabetes in obese cases (P = 1.3×10−8, OR = 1.11 [95% CI 1.07–1.15]), although this association was not significantly stronger than that in lean cases (P = 0.02, OR = 1.09 [95% CI 1.02–1.17]). For 36 known type 2 diabetes loci, 29 had a larger odds ratio in the lean compared to obese (binomial P = 0.0002). In the lean analysis, we observed a weighted per-risk allele OR = 1.13 [95% CI 1.10–1.17], P = 3.2×10−14. This was larger than the same model fitted in the obese analysis where the OR = 1.06 [95% CI 1.05–1.08], P = 2.2×10−16. This study provides evidence that stratification of type 2 diabetes cases by BMI may help identify additional risk variants and that lean cases may have a stronger genetic predisposition to type 2 diabetes.


Zdroje

1. VoightBFScottLJSteinthorsdottirVMorrisAPDinaC 2010 Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet 42 579 589

2. DupuisJLangenbergCProkopenkoISaxenaRSoranzoN 2010 New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet 42 105 116

3. QiLCornelisMCKraftPStanyaKJLinda KaoWH 2010 Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes. Hum Mol Genet 19 2706 2715

4. TsaiFJYangCFChenCCChuangLMLuCH 2010 A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese. PLoS Genet 6 e1000847 doi:10.1371/journal.pgen.1000847

5. YamauchiTHaraKMaedaSYasudaKTakahashiA 2010 A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B. Nat Genet 42 864 868

6. ShuXOLongJCaiQQiLXiangYB 2010 Identification of new genetic risk variants for type 2 diabetes. PLoS Genet 6 e1001127 doi:10.1371/journal.pgen.1001127

7. KoonerJSSaleheenDSimXSehmiJZhangW 2011 Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci. Nat Genet

8. LyssenkoVNagornyCLErdosMRWierupNJonssonA 2009 Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion. Nat Genet 41 82 88

9. ProkopenkoILangenbergCFlorezJCSaxenaRSoranzoN 2009 Variants in MTNR1B influence fasting glucose levels. Nat Genet 41 77 81

10. FreathyRMMook-KanamoriDOSovioUProkopenkoITimpsonNJ 2010 Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight. Nat Genet 42 430 435

11. PerryJRWeedonMNLangenbergCJacksonAULyssenkoV 2010 Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes. Hum Mol Genet 19 535 544

12. TuomiTCarlssonALiHIsomaaBMiettinenA 1999 Clinical and genetic characteristics of type 2 diabetes with and without GAD antibodies. Diabetes 48 150 157

13. PearsonERFlechtnerINjolstadPRMaleckiMTFlanaganSE 2006 Switching from insulin to oral sulfonylureas in patients with diabetes due to Kir6.2 mutations. N Engl J Med 355 467 477

14. TimpsonNJLindgrenCMWeedonMNRandallJOuwehandWH 2009 Adiposity-related heterogeneity in patterns of type 2 diabetes susceptibility observed in genome-wide association data. Diabetes 58 505 510

15. CauchiSNeadKTChoquetHHorberFPotocznaN 2008 The genetic susceptibility to type 2 diabetes may be modulated by obesity status: implications for association studies. BMC Med Genet 9 45

16. CauchiSChoquetHGutierrez-AguilarRCapelFGrauK 2008 Effects of TCF7L2 polymorphisms on obesity in European populations. Obesity (Silver Spring) 16 476 482

17. GueyLTKravicJMelanderOBurttNPLaramieJM 2011 Power in the phenotypic extremes: a simulation study of power in discovery and replication of rare variants. Genet Epidemiol

18. SpeliotesEKWillerCJBerndtSIMondaKLThorleifssonG 2010 Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42 937 948

19. ZhouKBellenguezCSpencerCCBennettAJColemanRL 2011 Common variants near ATM are associated with glycemic response to metformin in type 2 diabetes. Nat Genet 43 117 120

20. SoranzoNSannaSWheelerEGiegerCRadkeD 2010 Common variants at 10 genomic loci influence hemoglobin A(C) levels via glycemic and nonglycemic pathways. Diabetes 59 3229 3239

21. SaxenaRHivertMFLangenbergCTanakaTPankowJS 2010 Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat Genet 42 142 148

22. GoringHHCurranJEJohnsonMPDyerTDCharlesworthJ 2007 Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes. Nat Genet 39 1208 1216

23. IdaghdourYCzikaWShiannaKVLeeSHVisscherPM 2010 Geographical genomics of human leukocyte gene expression variation in southern Morocco. Nat Genet 42 62 67

24. HeapGATrynkaGJansenRCBruinenbergMSwertzMA 2009 Complex nature of SNP genotype effects on gene expression in primary human leucocytes. BMC Med Genomics 2 1

25. DixonALLiangLMoffattMFChenWHeathS 2007 A genome-wide association study of global gene expression. Nat Genet 39 1202 1207

26. StrangerBENicaACForrestMSDimasABirdCP 2007 Population genomics of human gene expression. Nat Genet 39 1217 1224

27. KwanTBenovoyDDiasCGurdSProvencherC 2008 Genome-wide analysis of transcript isoform variation in humans. Nat Genet 40 225 231

28. HeinzenELGeDCroninKDMaiaJMShiannaKV 2008 Tissue-specific genetic control of splicing: implications for the study of complex traits. PLoS Biol 6 e1 doi:10.1371/journal.pbio.1000001

29. ZellerTWildPSzymczakSRotivalMSchillertA 2010 Genetics and beyond–the transcriptome of human monocytes and disease susceptibility. PLoS ONE 5 e10693 doi:10.1371/journal.pone.0010693

30. EmilssonVThorleifssonGZhangBLeonardsonASZinkF 2008 Genetics of gene expression and its effect on disease. Nature 452 423 428

31. GreenawaltDMDobrinRChudinEHatoumIJSuverC 2011 A survey of the genetics of stomach, liver, and adipose gene expression from a morbidly obese cohort. Genome Res 21 1008 1016

32. KompassKSWitteJS 2011 Co-regulatory expression quantitative trait loci mapping: method and application to endometrial cancer. BMC Med Genomics 4 6

33. WebsterJAGibbsJRClarkeJRayMZhangW 2009 Genetic control of human brain transcript expression in Alzheimer disease. Am J Hum Genet 84 445 458

34. SchadtEEMolonyCChudinEHaoKYangX 2008 Mapping the genetic architecture of gene expression in human liver. PLoS Biol 6 e107 doi:10.1371/journal.pbio.0060107

35. InnocentiFCooperGMStanawayIBGamazonERSmithJD 2011 Identification, replication, and functional fine-mapping of expression quantitative trait loci in primary human liver tissue. PLoS Genet 7 e1002078 doi:10.1371/journal.pgen.1002078

36. GrundbergEKwanTGeBLamKCKokaV 2009 Population genomics in a disease targeted primary cell model. Genome Res 19 1942 1952

37. DingJGudjonssonJELiangLStuartPELiY 2010 Gene expression in skin and lymphoblastoid cells: Refined statistical method reveals extensive overlap in cis-eQTL signals. Am J Hum Genet 87 779 789

38. DimasASDeutschSStrangerBEMontgomerySBBorelC 2009 Common regulatory variation impacts gene expression in a cell type-dependent manner. Science 325 1246 1250

39. HanBEskinE 2011 Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am J Hum Genet 88 586 598

40. AntinozziPAGarcia-DiazAHuCRothmanJE 2006 Functional mapping of disease susceptibility loci using cell biology. Proc Natl Acad Sci U S A 103 3698 3703

41. JiangFXHarrisonLC 2005 Convergence of bone morphogenetic protein and laminin-1 signaling pathways promotes proliferation and colony formation by fetal mouse pancreatic cells. Exp Cell Res 308 114 122

42. VasirBAielloLPYoonKHQuickelRRBonner-WeirS 1998 Hypoxia induces vascular endothelial growth factor gene and protein expression in cultured rat islet cells. Diabetes 47 1894 1903

43. Bonner-WeirSTanejaMWeirGCTatarkiewiczKSongKH 2000 In vitro cultivation of human islets from expanded ductal tissue. Proc Natl Acad Sci U S A 97 7999 8004

44. GaoRUstinovJPulkkinenMALundinKKorsgrenO 2003 Characterization of endocrine progenitor cells and critical factors for their differentiation in human adult pancreatic cell culture. Diabetes 52 2007 2015

45. JiangFXGeorges-LabouesseEHarrisonLC 2001 Regulation of laminin 1-induced pancreatic beta-cell differentiation by alpha6 integrin and alpha-dystroglycan. Mol Med 7 107 114

46. JiangFXCramDSDeAizpuruaHJHarrisonLC 1999 Laminin-1 promotes differentiation of fetal mouse pancreatic beta-cells. Diabetes 48 722 730

47. GeutskensSBHomo-DelarcheFPleauJMDurantSDrexhageHA 2004 Extracellular matrix distribution and islet morphology in the early postnatal pancreas: anomalies in the non-obese diabetic mouse. Cell Tissue Res 318 579 589

48. HuCOliverJAGoldbergMRAl-AwqatiQ 2001 LRP: a new adhesion molecule for endothelial and smooth muscle cells. Am J Physiol Renal Physiol 281 F739 750

49. WilliamsRCMullerYLHansonRLKnowlerWCMasonCC 2011 HLA-DRB1 reduces the risk of type 2 diabetes mellitus by increased insulin secretion. Diabetologia 54 1684 1692

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2012 Číslo 5
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#