Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease

Background Genome-wide association studies (GWAS) provided many biological insights into coronary artery disease (CAD), but these studies were mainly performed in Europeans. GWAS in diverse populations have the potential to advance our understanding of CAD. Methods and Results We conducted two GWAS for CAD in the Japanese population, which included 12,494 cases and 28,879 controls, and 2,808 cases and 7,261 controls, respectively. Then, we performed transethnic meta-analysis using the results of the CARDIoGRAMplusC4D 1000 Genomes meta-analysis with UK Biobank. We identified 3 new loci on chromosome 1q21 (CTSS), 10q26 (WDR11-FGFR2), and 11q22 (RDX-FDX1). Quantitative trait locus analyses suggested the association of CTSS and RDX-FDX1 with atherosclerotic immune cells. Tissue/cell type enrichment analysis showed the involvement of arteries, adrenal glands and fat tissues in the development of CAD. Finally, we performed tissue/cell type enrichment analysis using East Asian-frequent and European-frequent variants according to the risk allele frequencies, and identified significant enrichment of adrenal glands in the East Asian-frequent group while the enrichment of arteries and fat tissues was found in the European-frequent group. These findings indicate biological differences in CAD susceptibility between Japanese and Europeans. Conclusions We identified 3 new loci for CAD and highlighted the genetic differences between the Japanese and European populations. Moreover, our transethnic analyses showed both shared and unique genetic architectures between the Japanese and Europeans. While most of the underlying genetic bases for CAD are shared, further analyses in diverse populations will be needed to elucidate variations fully.

[1]  K. Shimada,et al.  Clinical Features of Nonobese, Apparently Healthy, Japanese Men With Reduced Adipose Tissue Insulin Sensitivity. , 2019, The Journal of clinical endocrinology and metabolism.

[2]  M. Kanai,et al.  Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases , 2018, Nature Genetics.

[3]  Pim van der Harst,et al.  Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease , 2017, Circulation research.

[4]  Nicola J. Rinaldi,et al.  Genetic effects on gene expression across human tissues , 2017, Nature.

[5]  M. Kanai,et al.  Genome-wide association study identifies 112 new loci for body mass index in the Japanese population , 2017, Nature Genetics.

[6]  R. Mägi,et al.  Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution , 2017, Human molecular genetics.

[7]  J. Danesh,et al.  Association analyses based on false discovery rate implicate new loci for coronary artery disease , 2017, Nature Genetics.

[8]  Kristin G Ardlie,et al.  Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease , 2017, Nature Genetics.

[9]  Y. Kamatani,et al.  Polygenic burdens on cell-specific pathways underlie the risk of rheumatoid arthritis , 2017, Nature Genetics.

[10]  Andrew D. Johnson,et al.  Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms , 2017, Nature Genetics.

[11]  He Zhang,et al.  Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease , 2017, Journal of the American College of Cardiology.

[12]  A. Hofman,et al.  Disease variants alter transcription factor levels and methylation of their binding sites , 2016, Nature Genetics.

[13]  Sebastian M. Armasu,et al.  A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2015, Nature Genetics.

[14]  J. Hirschhorn,et al.  Biological interpretation of genome-wide association studies using predicted gene functions , 2015, Nature Communications.

[15]  S. Tsugane,et al.  The JPHC study: design and some findings on the typical Japanese diet. , 2014, Japanese journal of clinical oncology.

[16]  L. Kuller,et al.  Long chain n-3 polyunsaturated fatty acids and incidence rate of coronary artery calcification in Japanese men in Japan and white men in the USA: population based prospective cohort study , 2013, Heart.

[17]  S. Horman,et al.  Redundant control of migration and adhesion by ERM proteins in vascular smooth muscle cells. , 2013, Biochemical and biophysical research communications.

[18]  Arcadi Navarro,et al.  High Trans-ethnic Replicability of GWAS Results Implies Common Causal Variants , 2013, PLoS genetics.

[19]  J. Marchini,et al.  Fast and accurate genotype imputation in genome-wide association studies through pre-phasing , 2012, Nature Genetics.

[20]  Chong Shen,et al.  Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease , 2012, Nature Genetics.

[21]  K. Okumura,et al.  Role for Cysteine Protease Cathepsins in Heart Disease: Focus on Biology and Mechanisms With Clinical Implication , 2012, Circulation.

[22]  G. Abecasis,et al.  MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes , 2010, Genetic epidemiology.

[23]  Ayellet V. Segrè,et al.  Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits , 2010, PLoS genetics.

[24]  J. Hartikainen,et al.  Reperfusion therapy for ST elevation acute myocardial infarction in Europe: description of the current situation in 30 countries , 2009, European heart journal.

[25]  X. Adiconis,et al.  Disparities in allele frequencies and population differentiation for 101 disease-associated single nucleotide polymorphisms between Puerto Ricans and non-Hispanic whites , 2009, BMC Genetics.

[26]  Chengcheng Hu,et al.  Increased serum cathepsin S in patients with atherosclerosis and diabetes. , 2006, Atherosclerosis.

[27]  D. Watkins,et al.  Destabilizing Role of Cathepsin S in Murine Atherosclerotic Plaques , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[28]  A. Takeshita,et al.  Inflammatory stimuli upregulate Rho-kinase in human coronary vascular smooth muscle cells. , 2004, Journal of molecular and cellular cardiology.

[29]  A. Yashin,et al.  Heritability of death from coronary heart disease: a 36‐year follow‐up of 20 966 Swedish twins , 2002, Journal of internal medicine.

[30]  P. Libby,et al.  Expression of the elastolytic cathepsins S and K in human atheroma and regulation of their production in smooth muscle cells. , 1998, The Journal of clinical investigation.

[31]  Kenta Ito,et al.  Trends in acute myocardial infarction incidence and mortality over 30 years in Japan: report from the MIYAGI-AMI Registry Study. , 2010, Circulation journal : official journal of the Japanese Circulation Society.

[32]  Y. Ohnishi,et al.  Functional SNPs in the lymphotoxin-α gene that are associated with susceptibility to myocardial infarction , 2003, Nature Genetics.