A Replication Study of GWAS-Derived Lipid Genes in Asian Indians: The Chromosomal Region 11q23.3 Harbors Loci Contributing to Triglycerides

Recent genome-wide association scans (GWAS) and meta-analysis studies on European populations have identified many genes previously implicated in lipid regulation. Validation of these loci on different global populations is important in determining their clinical relevance, particularly for development of novel drug targets for treating and preventing diabetic dyslipidemia and coronary artery disease (CAD). In an attempt to replicate GWAS findings on a non-European sample, we examined the role of six of these loci (CELSR2-PSRC1-SORT1 rs599839; CDKN2A-2B rs1333049; BUD13-ZNF259 rs964184; ZNF259 rs12286037; CETP rs3764261; APOE-C1-C4-C2 rs4420638) in our Asian Indian cohort from the Sikh Diabetes Study (SDS) comprising 3,781 individuals (2,902 from Punjab and 879 from the US). Two of the six SNPs examined showed convincing replication in these populations of Asian Indian origin. Our study confirmed a strong association of CETP rs3764261 with high-density lipoprotein cholesterol (HDL-C) (p = 2.03×10−26). Our results also showed significant associations of two GWAS SNPs (rs964184 and rs12286037) from BUD13-ZNF259 near the APOA5-A4-C3-A1 genes with triglyceride (TG) levels in this Asian Indian cohort (rs964184: p = 1.74×10−17; rs12286037: p = 1.58×10−2). We further explored 45 SNPs in a ∼195 kb region within the chromosomal region 11q23.3 (encompassing the BUD13-ZNF259, APOA5-A4-C3-A1, and SIK3 genes) in 8,530 Asian Indians from the London Life Sciences Population (LOLIPOP) (UK) and SDS cohorts. Five more SNPs revealed significant associations with TG in both cohorts individually as well as in a joint meta-analysis. However, the strongest signal for TG remained with BUD13-ZNF259 (rs964184: p = 1.06×10−39). Future targeted deep sequencing and functional studies should enhance our understanding of the clinical relevance of these genes in dyslipidemia and hypertriglyceridemia (HTG) and, consequently, diabetes and CAD.

[1]  C. Gieger,et al.  Genomewide association analysis of coronary artery disease. , 2007, The New England journal of medicine.

[2]  L Kruglyak,et al.  Genetic isolates: separate but equal? , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[3]  D. Rader,et al.  Genome-wide approaches to finding novel genes for lipid traits: the start of a long road. , 2008, Circulation. Cardiovascular genetics.

[4]  R. Cooper,et al.  Genome-wide association studies: implications for multiethnic samples. , 2008, Human molecular genetics.

[5]  J. Aberle,et al.  Resequencing the apolipoprotein A5 (APOA5) gene in patients with various forms of hypertriglyceridemia. , 2011, Atherosclerosis.

[6]  R. Collins,et al.  Newly identified loci that influence lipid concentrations and risk of coronary artery disease , 2008, Nature Genetics.

[7]  P. O S I T I O N S T A T E M E N T,et al.  Diagnosis and Classification of Diabetes Mellitus , 2011, Diabetes Care.

[8]  P. Elliott,et al.  Genome-wide scan identifies variation in MLXIPL associated with plasma triglycerides , 2008, Nature Genetics.

[9]  Dolores Corella,et al.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans , 2008, Nature Genetics.

[10]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[11]  C. Newton-Cheh,et al.  Association of NOS1AP Genetic Variants With QT Interval Duration in Families From the Diabetes Heart Study , 2008, Diabetes.

[12]  Päivi Pajukanta,et al.  Genetic causes of high and low serum HDL-cholesterol , 2010, Journal of Lipid Research.

[13]  M. Banerjee,et al.  Diabetes and ethnic minorities , 2005, Postgraduate Medical Journal.

[14]  R. Collins,et al.  Common variants at 30 loci contribute to polygenic dyslipidemia , 2009, Nature Genetics.

[15]  Pak Chung Sham,et al.  Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits , 2003, Bioinform..

[16]  P. Libby,et al.  Progress and challenges in translating the biology of atherosclerosis , 2011, Nature.

[17]  L. Been,et al.  Genetic variation in cholesterol ester transfer protein, serum CETP activity, and coronary artery disease risk in Asian Indian diabetic cohort , 2012, Pharmacogenetics and genomics.

[18]  S. Humphries,et al.  The effect of APOA5 and APOC3 variants on lipid parameters in European Whites, Indian Asians and Afro-Caribbeans with type 2 diabetes. , 2007, Biochimica et biophysica acta.

[19]  M. Fornage,et al.  Consistent Effects of Genes Involved in Reverse Cholesterol Transport on Plasma Lipid and Apolipoprotein Levels in CARDIA Participants , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[20]  Inês Barroso,et al.  Genetic Variants Influencing Circulating Lipid Levels and Risk of Coronary Artery Disease , 2010, Arteriosclerosis, thrombosis, and vascular biology.

[21]  D. Bowden,et al.  Genetic Epidemiology of Subclinical Cardiovascular Disease in the Diabetes Heart Study , 2008, Annals of human genetics.

[22]  Peter Libby,et al.  The forgotten majority: unfinished business in cardiovascular risk reduction. , 2005, Journal of the American College of Cardiology.

[23]  J. Corton,et al.  Central role of peroxisome proliferator-activated receptors in the actions of peroxisome proliferators. , 2000, Annual review of pharmacology and toxicology.

[24]  Z. Galcheva-gargova,et al.  Binding of Zinc Finger Protein ZPR1 to the Epidermal Growth Factor Receptor , 1996, Science.

[25]  Alkes L. Price,et al.  Reconstructing Indian Population History , 2009, Nature.

[26]  S. Ishibashi,et al.  Large scale replication analysis of loci associated with lipid concentrations in a Japanese population , 2009, Journal of Medical Genetics.

[27]  Marcia M. Nizzari,et al.  Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels , 2007, Science.

[28]  J. Darnell,et al.  Liver-enriched transcription factor HNF-4 is a novel member of the steroid hormone receptor superfamily. , 1990, Genes & development.

[29]  Tien Yin Wong,et al.  Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci , 2011, Nature Genetics.

[30]  G. Abecasis,et al.  A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants , 2007, Science.

[31]  Christian Gieger,et al.  Six new loci associated with body mass index highlight a neuronal influence on body weight regulation , 2009, Nature Genetics.

[32]  U. Goldbourt,et al.  Different effects of apolipoprotein A5 SNPs and haplotypes on triglyceride concentration in three ethnic origins , 2010, Journal of Human Genetics.

[33]  D. Strachan,et al.  LDL-cholesterol concentrations: a genome-wide association study , 2008, The Lancet.

[34]  D. Kendall The dyslipidemia of diabetes mellitus: giving triglycerides and high-density lipoprotein cholesterol a higher priority? , 2005, Endocrinology and metabolism clinics of North America.

[35]  P. Elliott,et al.  Common genetic variation near melatonin receptor MTNR 1 B contributes to raised plasma glucose and increased risk of type-2 diabetes amongst Indian Asians and European whites , 2009 .

[36]  L. Been,et al.  Genome-Wide Linkage Scan to Identify Loci Associated with Type 2 Diabetes and Blood Lipid Phenotypes in the Sikh Diabetes Study , 2011, PloS one.

[37]  P. Elliott,et al.  Heritability and genetic correlations of insulin resistance and component phenotypes in Asian Indian families using a multivariate analysis , 2009, Diabetologia.

[38]  T. Frayling Genome–wide association studies provide new insights into type 2 diabetes aetiology , 2007, Nature Reviews Genetics.

[39]  D. Yach,et al.  The global burden of chronic diseases: overcoming impediments to prevention and control. , 2004, JAMA.

[40]  John J Mulvihill,et al.  Testing the association of novel meta-analysis-derived diabetes risk genes with type II diabetes and related metabolic traits in Asian Indian Sikhs , 2009, Journal of Human Genetics.

[41]  L. Groop,et al.  Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus , 2008, Nature Genetics.

[42]  Tanya M. Teslovich,et al.  Biological, Clinical, and Population Relevance of 95 Loci for Blood Lipids , 2010, Nature.

[43]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.

[44]  Shizhong Han,et al.  Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk , 2008, BMC Medical Genetics.

[45]  L. Been,et al.  Genetic Variation in Cholesterol Ester Transfer Protein ( CETP ) , Serum CETP Activity , and Coronary Artery Disease ( CAD ) Risk in Asian Indian Diabetic Cohort , 2012 .

[46]  K. Umesono,et al.  The nuclear receptor superfamily: The second decade , 1995, Cell.

[47]  Sheng-kai Yan,et al.  Apolipoprotein A5 gene polymorphism –1131T→C: association with plasma lipids and type 2 diabetes mellitus with coronary heart disease in Chinese , 2005, Clinical chemistry and laboratory medicine.