Evidence of how rs7575840 influences apolipoprotein B-containing lipid particles.

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 RESULTS: Our data show that rs7575840 is associated with serum apoB levels (P=4.85×10(-10)) and apoB-containing lipid particles, very small very-low-density lipoprotein, intermediate lipoprotein, and LDL particles (P=2×10(-5) to 9×10(-7)) in the Finnish Metabolic Syndrome in Men study sample (n=7710). Fine mapping of the APOB region using 43 single-nucleotide polymorphisms replicated the association of rs7575840 with apoB in a Mexican study sample (n=2666, P=3.33×10(-5)). Furthermore, our transcript analyses of adipose RNA samples from 175 subjects in the Finnish Metabolic Syndrome in Men study indicate that rs7575840 alters expression of APOB (P=1.13×10(-10)) and a regional noncoding RNA (BU630349) (P=7.86×10(-6)) in adipose tissue. CONCLUSIONS: It has been difficult to convert genome-wide association study associations into mechanistic insights. Our data show that rs7575840 is associated with serum apoB levels and apoB-containing lipid particles, as well as influencing expression of APOB and a regional transcript BU630349 in adipose tissue. We thus provide evidence how a common genome-wide significant single-nucleotide polymorphism, rs7575840, may affect serum apoB, LDL cholesterol, and total cholesterol levels.

A role for interleukin-5 in promoting increased immunoglobulin M at the site of disease in leprosy.

Leprosy is an infectious disease in which the clinical manifestations correlate with the type of immune response mounted to the pathogen, Mycobacterium leprae. To investigate which biological pathways or gene sets are over-represented in lepromatous (L-Lep) versus tuberculoid (T-Lep) patients that might be relevant in disease pathogenesis, we compared the gene expression profiles of L-lep versus T-lep skin lesions using knowledge-guided bioinformatic analysis, incorporating data on likely biological functions, including gene ontology information and regulatory data. Analysis of probe sets comparatively increased in expression in L-lep versus T-lep revealed multiple pathways and functional groups involving B-cell genes (P values all < 0.005) relevant to the dataset. Further pathways analysis of B-cell genes comparatively increased in expression in L-lep versus T-lep lesions revealed a potential network linking the expression of immunoglobulin M (IgM) and interleukin-5 (IL-5). Analysis of the leprosy lesions by immunohistology indicated that there was approximately 8% more IgM-positive cells in L-lep lesions than in T-lep lesions. Furthermore, IL-5 synergized in vitro with M. leprae to enhance total IgM secretion from peripheral blood mononuclear cells. This pathways analysis of leprosy in combination with our in vitro studies implicates a role for IL-5 in the increased IgM at the site of disease in leprosy.

A nonsynonymous SNP within PCDH15 is associated with lipid traits in familial combined hyperlipidemia.

Familial combined hyperlipidemia (FCHL) is a common lipid disorder characterized by the presence of multiple lipoprotein phenotypes that increase the risk of premature coronary heart disease. In a previous study, we identified an intragenic microsatellite marker within the protocadherin 15 (PCDH15) gene to be associated with high triglycerides (TGs) in Finnish dyslipidemic families. In this study we analyzed all four known nonsynonymous SNPs within PCDH15 in 1,268 individuals from Finnish and Dutch multigenerational families with FCHL. Association analyses of quantitative traits for SNPs were performed using the QTDT test. The nonsynonymous SNP rs10825269 resulted in a P = 0.0006 for the quantitative TG trait. Additional evidence for association was observed with the same SNP for apolipoprotein B levels (apo-B) (P = 0.0001) and total cholesterol (TC) levels (P = 0.001). None of the other three SNPs tested showed a significant association with any lipid-related trait. We investigated the expression of PCDH15 in different human tissues and observed that PCDH15 is expressed in several tissues including liver and pancreas. In addition, we measured the plasma lipid levels in mice with loss-of-function mutations in Pcdh15 (Pcdh15(av-Tg) and Pcdh15(av-3J)) to investigate possible abnormalities in their lipid profile. We observed a significant difference in plasma TG and TC concentrations for the Pcdh15(av-3J) carriers when compared with the wild type (P = 0.013 and P = 0.044, respectively). Our study suggests that PCDH15 is associated with lipid abnormalities.

Adipose co-expression networks across Finns and Mexicans identify novel triglyceride-associated genes.

BACKGROUND: High serum triglyceride (TG) levels is an established risk factor for coronary heart disease (CHD). Fat is stored in the form of TGs in human adipose tissue. We hypothesized that gene co-expression networks in human adipose tissue may be correlated with serum TG levels and help reveal novel genes involved in TG regulation. METHODS: Gene co-expression networks were constructed from two Finnish and one Mexican study sample using the blockwiseModules R function in Weighted Gene Co-expression Network Analysis (WGCNA). Overlap between TG-associated networks from each of the three study samples were calculated using a Fisher's Exact test. Gene ontology was used to determine known pathways enriched in each TG-associated network. RESULTS: We measured gene expression in adipose samples from two Finnish and one Mexican study sample. In each study sample, we observed a gene co-expression network that was significantly associated with serum TG levels. The TG modules observed in Finns and Mexicans significantly overlapped and shared 34 genes. Seven of the 34 genes (ARHGAP30, CCR1, CXCL16, FERMT3, HCST, RNASET2, SELPG) were identified as the key hub genes of all three TG modules. Furthermore, two of the 34 genes (ARHGAP9, LST1) reside in previous TG GWAS regions, suggesting them as the regional candidates underlying the GWAS signals. CONCLUSIONS: This study presents a novel adipose gene co-expression network with 34 genes significantly correlated with serum TG across populations.

Exome sequencing identifies 2 rare variants for low high-density lipoprotein cholesterol in an extended family.

BACKGROUND: Exome sequencing is a recently implemented method to discover rare mutations for Mendelian disorders. Less is known about its feasibility to identify genes for complex traits. We used exome sequencing to search for rare variants responsible for a complex trait, low levels of serum high-density lipoprotein cholesterol (HDL-C). METHODS AND RESULTS: We conducted exome sequencing in a large French-Canadian family with 75 subjects available for study, of which 27 had HDL-C values less than the fifth age-sex-specific population percentile. We captured ≈50 Mb of exonic and transcribed sequences of 3 closely related family members with HDL-C levels less than the fifth age-sex percentile and sequenced the captured DNA. Approximately 82,000 variants were detected in each individual, of which 41 rare nonsynonymous variants were shared by the sequenced affected individuals after filtering steps. Two rare nonsynonymous variants in the ATP-binding cassette, subfamily A (ABC1), member 1 (ABCA1), and lipoprotein lipase genes predicted to be damaging were investigated for cosegregation with the low HDL-C trait in the entire extended family. The carriers of either variant had low HDL-C levels, and the individuals carrying both variants had the lowest HDL-C values. Interestingly, the ABCA1 variant exhibited a sex effect which was first functionally identified, and, subsequently, statistically demonstrated using additional French-Canadian families with ABCA1 mutations. CONCLUSIONS: This complex combination of 2 rare variants causing low HDL-C in the extended family would not have been identified using traditional linkage analysis, emphasizing the need for exome sequencing of complex lipid traits in unexplained familial cases.