Dataset Information

Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

ABSTRACT: Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and obesity are generally focused on individual traits independently, and genetic intercommunity (common genetic contributions or the product of over correlated phenotypic world) between them are largely unknown, despite extensive data showing that these two phenotypes share both genetic and environmental risk factors. Here, we applied a recently developed genetic pleiotropic conditional false discovery rate (cFDR) approach to discover novel loci associated with BMI and T2D by incorporating the summary statistics from existing GWASs of these two traits. Conditional Q-Q and fold enrichment plots were used to visually demonstrate the strength of pleiotropic enrichment. Adopting a cFDR nominal significance level of 0.05, 287 loci were identified for BMI and 75 loci for T2D, 23 of which for both traits. By incorporating related traits into a conditional analysis framework, we observed significant pleiotropic enrichment between obesity and T2D. These findings may provide novel insights into the etiology of obesity and T2D, individually and jointly.

SUBMITTER: Zhang Q

PROVIDER: S-EPMC5703959 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

Zhang Qiang Q Wu Ke-Hao KH He Jing-Yang JY Zeng Yong Y Greenbaum Jonathan J Xia Xin X Liu Hui-Min HM Lv Wan-Qiang WQ Lin Xu X Zhang Wei-Dong WD Xi Yuan-Lin YL Shi Xue-Zhong XZ Sun Chang-Qing CQ Deng Hong-Wen HW

Scientific reports 20171127 1

Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and obesity are generally focused on individual traits independently, and genetic intercommunity (common genetic contributions or the product of over correlated pheno ...[more]

PMID: 29180724

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Project description:AimsClinical and epidemiological findings point to an association between type 2 diabetes (T2D) and osteoporosis. Genome-wide association studies (GWASs) have been fruitful in identifying some loci potentially associated with osteoporosis and T2D respectively. However, the total genetic variance for each of these two diseases and the shared genetic determination between them are largely unknown. The aim of this study was to identify novel genetic variants for osteoporosis and/or T2D.MethodsFirst, using a pleiotropic conditional false discovery rate (cFDR) method, we analyzed two GWAS summary data of femoral neck bone mineral density (FN_BMD, n = 53,236) and T2D (n = 159,208) to identify novel shared genetic loci. FN_BMD is an important risk factor for osteoporosis. Next, to explore the potential functions of the identified potential pleiotropic genes, differential expression analysis was performed for them in monocytes and peripheral blood mononuclear cells (PBMCs) as these cells are relevant to the etiology of osteoporosis and/or T2D. Further, weighted gene co-expression analysis (WGCNA) was conducted to identify functional connections between novel pleiotropic genes and known osteoporosis/T2D susceptibility genes by using transcriptomic expression datasets in bone biopsies (E-MEXP-1618) and pancreatic islets (GSE50397). Finally, multi-trait fine mapping for the detected pleiotropic risk loci were conducted to identify the SNPs that have the highest probability of being causal for both FN_BMD and T2D.ResultsWe identified 27 significant SNPs with cFDR<0.05 for FN_BMD and 61 SNPs for T2D respectively. Four loci, rs7068487 (PLEKHA1), rs10885421 (TCF7L2), rs944082 (GNG12-AS1 (WLS)) and rs2065929 (PIFO||PGCP1), were found to be potentially pleiotropic and shared between FN_BMD and T2D (ccFDR<0.05). PLEKHA1 was found differentially expressed in circulating monocytes between high and low BMD subjects, and PBMCs between diabetic and non-diabetic conditions. WGCNA showed that PLEKHA1 and TCF7L2 were interconnected with multiple osteoporosis and T2D associated genes in bone biopsy and pancreatic islets, such as JAG, EN1 and CPE. Fine mapping showed that rs11200594 was a potentially causal variant in the locus of PLEKHA1. rs11200594 is also an eQTL of PLEKHA1 in multiple tissue (e.g. peripheral blood cells, adipose and ovary) and is in strong LD with a number of functional variants.ConclusionsFour potential pleiotropic loci were identified for shared genetic determination of osteoporosis and T2D. Our study highlights PLEKHA1 as an important potentially pleiotropic gene. The findings may help us gain a better understanding of the shared genetic determination between these two important disorders.

Project description:The protein tyrosine phosphatase-1B, a negative regulator for insulin and leptin signalling, potentially modulates glucose and energy homeostasis. PTP1B is encoded by the PTPN1 gene located on chromosome 20q13 showing linkage with type 2 diabetes (T2D) in several populations. PTPN1 gene variants have been inconsistently associated with T2D, and the aim of our study was to investigate the effect of PTPN1 genetic variations on the risk of T2D, obesity and on the variability of metabolic phenotypes in the French population.Fourteen single nucleotide polymorphisms (SNPs) spanning the PTPN1 locus were selected from previous association reports and from HapMap linkage disequilibrium data. SNPs were evaluated for association with T2D in two case-control groups with 1227 cases and 1047 controls. Association with moderate and severe obesity was also tested in a case-control study design. Association with metabolic traits was evaluated in 736 normoglycaemic, non-obese subjects from a general population. Five SNPs showing a trend towards association with T2D, obesity or metabolic parameters were investigated for familial association.From 14 SNPs investigated, only SNP rs914458, located 10 kb downstream of the PTPN1 gene significantly associated with T2D (p = 0.02 under a dominant model; OR = 1.43 [1.06-1.94]) in the combined sample set. SNP rs914458 also showed association with moderate obesity (allelic p = 0.04; OR = 1.2 [1.01-1.43]). When testing for association with metabolic traits, two strongly correlated SNPs, rs941798 and rs2426159, present multiple consistent associations. SNP rs2426159 exhibited evidence of association under a dominant model with glucose homeostasis related traits (p = 0.04 for fasting insulin and HOMA-B) and with lipid markers (0.02 = p = 0.04). Moreover, risk allele homozygotes for this SNP had an increased systolic blood pressure (p = 0.03). No preferential transmission of alleles was observed for the SNPs tested in the family sample.In our study, PTPN1 variants showed moderate association with T2D and obesity. However, consistent associations with metabolic variables reflecting insulin resistance and dyslipidemia are found for two intronic SNPs as previously reported. Thus, our data indicate that PTPN1 variants may modulate the lipid profile, thereby influencing susceptibility to metabolic disease.

Dataset Information

Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

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Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

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