Abstract:Objective-Recent genome-wide association studies identified a variant rs7575840 in the apolipoprotein B (APOB) gene region as associated with low-density lipoprotein (LDL) cholesterol. However, the underlying functional mechanism of this variant, which resides 6.5 kb upstream of APOB, has remained unknown. Our objective was to investigate rs7575840 for association with refined apoB-containing lipid particles, for replication in a Mexican population, and for its underlying functional mechanism. Methods and Resu… Show more
“…Apolipoprotein B (APOB) is the main apolipoprotein of chylomicrons, very low density lipoproteins, and low density lipoproteins and is highly expressed in liver and small intestine as long (ApoB100) and short (ApoB48) isoforms, respectively, via RNA editing of the same transcript. The role of APOB in other tissues is not clear; however, Hass et al (2011) showed that a serum LDL-C associated SNP rs7575840 is a cis-eSNP for the expression of APOB mRNA in adipose tissue of European Ancestry individuals 34 . Replicating this finding, the T-allele of rs7575840 was associated with higher expression of APOB in adipose tissue of African American individuals of our AAGMEx cohort.…”
Dyslipidemia is a major contributor to the increased cardiovascular disease and mortality associated with obesity and type 2 diabetes. We hypothesized that variation in expression of adipose tissue transcripts is associated with serum lipid concentrations in African Americans (AAs), and common genetic variants regulate expression levels of these transcripts. Fasting serum lipid levels, genome-wide transcript expression profiles of subcutaneous adipose tissue, and genome-wide SNP genotypes were analyzed in a cohort of non-diabetic AAs (N=250). Serum triglyceride (TRIG) and high density lipoprotein-cholesterol (HDL-C) levels were associated (FDR<0.01) with expression level of 1021 and 1875 adipose tissue transcripts, respectively, but none associated with total cholesterol or LDL-C levels. Serum HDL-C-associated transcripts were enriched for salient biological pathways, including branched-chain amino acid degradation, and oxidative phosphorylation. Genes in immuno-inflammatory pathways were activated among individuals with higher serum TRIG levels. We identified significant cis-regulatory SNPs (cis-eSNPs) for 449 serum lipid-associated transcripts in adipose tissue. The cis-eSNPs of 12 genes were nominally associated (p<0.001) with serum lipid level in genome wide association studies in Global Lipids Genetics Consortium (GLGC) cohorts. Allelic effect direction of cis-eSNPs on expression of MARCH2, BEST1 and TMEM258 matched with effect direction of these SNP alleles on serum TRIG or HDL-C levels in GLGC cohorts. These data suggest that expressions of serum lipid-associated transcripts in adipose tissue are dependent on common cis-eSNPs in African Americans. Thus, genetically-mediated transcriptional regulation in adipose tissue may play a role in reducing HDL-C and increasing TRIG in serum.
“…Apolipoprotein B (APOB) is the main apolipoprotein of chylomicrons, very low density lipoproteins, and low density lipoproteins and is highly expressed in liver and small intestine as long (ApoB100) and short (ApoB48) isoforms, respectively, via RNA editing of the same transcript. The role of APOB in other tissues is not clear; however, Hass et al (2011) showed that a serum LDL-C associated SNP rs7575840 is a cis-eSNP for the expression of APOB mRNA in adipose tissue of European Ancestry individuals 34 . Replicating this finding, the T-allele of rs7575840 was associated with higher expression of APOB in adipose tissue of African American individuals of our AAGMEx cohort.…”
Dyslipidemia is a major contributor to the increased cardiovascular disease and mortality associated with obesity and type 2 diabetes. We hypothesized that variation in expression of adipose tissue transcripts is associated with serum lipid concentrations in African Americans (AAs), and common genetic variants regulate expression levels of these transcripts. Fasting serum lipid levels, genome-wide transcript expression profiles of subcutaneous adipose tissue, and genome-wide SNP genotypes were analyzed in a cohort of non-diabetic AAs (N=250). Serum triglyceride (TRIG) and high density lipoprotein-cholesterol (HDL-C) levels were associated (FDR<0.01) with expression level of 1021 and 1875 adipose tissue transcripts, respectively, but none associated with total cholesterol or LDL-C levels. Serum HDL-C-associated transcripts were enriched for salient biological pathways, including branched-chain amino acid degradation, and oxidative phosphorylation. Genes in immuno-inflammatory pathways were activated among individuals with higher serum TRIG levels. We identified significant cis-regulatory SNPs (cis-eSNPs) for 449 serum lipid-associated transcripts in adipose tissue. The cis-eSNPs of 12 genes were nominally associated (p<0.001) with serum lipid level in genome wide association studies in Global Lipids Genetics Consortium (GLGC) cohorts. Allelic effect direction of cis-eSNPs on expression of MARCH2, BEST1 and TMEM258 matched with effect direction of these SNP alleles on serum TRIG or HDL-C levels in GLGC cohorts. These data suggest that expressions of serum lipid-associated transcripts in adipose tissue are dependent on common cis-eSNPs in African Americans. Thus, genetically-mediated transcriptional regulation in adipose tissue may play a role in reducing HDL-C and increasing TRIG in serum.
“…As an example, maternal allele-specific association of a common variant (rs1367117) located in the APOB gene was demonstrated in the analysis of adiposity [17] and borderline significant effect for fasting glucose and insulin levels [17]. This nonsynonymous missense variant that cause a Thr > Ile amino acid change was also observed in non-POE association with serum ApoB levels [18].…”
Aim:The aim of the study was to explore the parent-of-origin effects (POEs) on a range of human nuclear magnetic resonance metabolites. Materials & methods: We search for POEs in 14,815 unrelated individuals from Estonian and Finnish cohorts using POE method for the genotype data imputed with 1000 G reference panel and 82 nuclear magnetic resonance metabolites. Results: Meta-analysis revealed the evidence of POE for the variant rs1412727 in PTPRD gene for the metabolite: triglycerides in medium very low-density lipoprotein. No POEs were detected for genetic variants that were previously known to have main effect on circulating metabolites. Conclusion: We demonstrated possibility to detect POEs for human metabolites, but the POEs are weak, and therefore it is hard to detect those using currently available sample sizes. Circulating metabolites are intermediate products of metabolic processes that are known to participate in a wide spectrum of biological pathways and consequently associated with many diseases and pathological conditions [1]. In this context, metabolites could be used as a system-wide connection from genetic variants to disease-or phenotypic outcome. Therefore, identification of genetic variants associated with these molecules is an important task of genome-wide association studies (GWAS) [2][3][4][5][6]. The advances in proton nuclear magnetic resonance ( 1 H-NMR or shortened as NMR) spectroscopy provide a method for quantifying of a wide range of high and low molecular weight compounds without any prior selection [7]. To date, the NHGRI-EBI Catalog of published GWAS reports approximately 1529 genetic variants in 58 studies associated with different kind of metabolic phenotypes measured from diverse range of different tissue samples [8]. The most comprehensive GWAS of NMR metabolites to date was performed by Kettunen et al. where profiles of metabolic measures were analyzed in up to 25,000 individuals and 62 associations with various metabolites were described [9].Although GWAS have been more successful discovering genetic variants associated with human metabolites, there is still a large proportion of 'hidden heritability'. As a source of genetic variance, several analyses have been proposed, including those focusing on rare variants, structural variants, gene-gene and gene-environment interactions and parent-of-origin effects (POEs) [10,11]. POEs reflect a combination of genetic and epigenetic mechanisms, modulating different complex traits associated mainly with embryonic growth and development [12] and these effects have been described with many complex diseases such as diabetes mellitus, disglycemia and retinoblastoma [13][14][15]. In case of POEs, not only the presence of an allele, but also its parental origin affects the phenotypic outcome [16]. As an example, maternal allele-specific association of a common variant (rs1367117) located in the APOB gene was demonstrated in the analysis of adiposity [17] and borderline significant effect for fasting glucose and insulin levels [17]. This nonsy...
“…The METSIM study data has been helpful in generating functional information for some GWAS variants, e.g., a variant rs7575840 in the APOB gene region associated with LDL cholesterol level. Adipose tissue RNA expression analysis indicated that rs7575840 alters the expression of APOB and a regional noncoding RNA (BU630349) (76). Another study examined the functional regulatory effects of 25 noncoding variants at the GALNT2 locus associated with HDL cholesterol in the METSIM cohort.…”
The Metabolic Syndrome in Men (METSIM) study is a population-based study including 10,197 Finnish men examined in 2005-2010. The aim of the study is to investigate nongenetic and genetic factors associated with the risk of T2D and CVD, and with cardiovascular risk factors. The protocol includes a detailed phenotyping of the participants, an oral glucose tolerance test, fasting laboratory measurements including proton NMR measurements, mass spectometry metabolomics, adipose tissue biopsies from 1,400 participants, and a stool sample. In our ongoing follow-up study, we have, to date, reexamined 6,496 participants. Extensive genotyping and exome sequencing have been performed for essentially all METSIM participants, and >2,000 METSIM participants have been whole-genome sequenced. We have identified several nongenetic markers associated with the development of diabetes and cardiovascular events, and participated in several genetic association studies to identify gene variants associated with diabetes, hyperglycemia, and cardiovascular risk factors. The generation of a phenotype and genotype resource in the METSIM study allows us to proceed toward a "systems genetics" approach, which includes statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein, or metabolite levels, to provide a global view of the molecular architecture of complex traits.
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