Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency 1%) predicted damaging coding variation by using sequence data from 170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.Peer reviewe

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Penetrance of variants in monogenic disease and clinical utility of common polygenic variation has not been well explored on a large-scale. Here, the authors use exome sequencing data from 77,184 individuals to generate penetrance estimates and assess the utility of polygenic variation in risk prediction of monogenic variants

An Automated Method To Predict Mouse Gene and Protein Sequences Using Variant Data

With recent advances in sequencing technologies, the scientific community has begun to probe the potential genetic bases behind complex phenotypes in humans and model organisms. In many cases, the genomes of genetically distinct strains of model organisms, such as the mouse (Mus musculus), have not been fully sequenced. Here, we report on a tool designed to use single-nucleotide polymorphism (SNP) and insertion-deletion (indel) data to predict gene, mRNA, and protein sequences for up to 36 genetically distinct mouse strains. By automated querying of freely accessible databases through a graphical interface, the software requires no data and little computational experience. As a proof of concept, we predicted the gene and amino acid sequence of the aryl hydrocarbon receptor (Ahr) for all inbred mouse strains of which variant data were currently available through Mouse Genome Project. Predicted sequences were compared with fully sequenced genomes to show that the tool is effective in predicting gene and protein sequences

AHR-dependent changes in the mitochondrial proteome in response to 2,3,7,8-tetrachlorodibenzo-p-dioxin

The aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor that is the principal regulator of a cell׳s response to many polyaromatic hydrocarbons, such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). To gain a better understanding of the impact of TCDD on the mitochondrial proteome, a stable isotope labeling by amino acids in cell culture (SILAC)-based proteomic analysis was performed. We used two mouse hepatoma cell lines that differ in AHR expression levels, hepa1c1c7 (AHR-expressing) and hepac12 (AHR-deficient). The cell lines were exposed to TCDD (10 nM) for 72 h; each treatment was assayed in triplicate and were analyzed as separate runs on the mass-spectrometer. Mitochondria were then isolated and mitochondrial proteins were separated by SDS-PAGE and subject to mass spectrometry. The data presented were collected from four independent SILAC experiments. Within each experiment, three isotopes were employed to compare protein ratios via mass-spectrometry: (1) light l-arginine/l-lysine HCl (Arg0, Lys0), (2) medium 15N4-l-arginin/13C6l-lysine HCl (Arg4, Lys6), and (3) heavy 13C615N4l-arginine/13C615N2l-lysine HCl (Arg10, Lys8). The raw data includes approximately 2500 annotated proteins. The datasets provided by this study can be a reference to other toxicologists investigating TCDD-induced mitochondrial dysfunction. The data presented here are associated with the research article, “Mitochondrial-targeted Aryl Hydrocarbon Receptor and the Impact of 2,3,7,8-Tetrachlorodibenzo-p-Dioxin on Cellular Respiration and the Mitochondrial Proteome” (Hwang et al. (2016) [1]). Keywords: Proteomics, SILAC, TCDD, AHR, aryl hydrocarbon receptor, Mitochondri

Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency \u3c 1%) predicted damaging coding variation by using sequence data from \u3e170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels

Pulmonary Histopathology.

<p>Light photomicrographs of hematoxylin and eosin stained lung sections from control (<b>A</b>), <i>Hif-1αΔ/Δ</i> (<b>B</b>), <i>Hif-2αΔ/Δ</i> (<b>C</b>) and <i>Hif-1/2αΔ/Δ</i> (<b>D</b>) pups. Analysis of septal thickness of control mice (<b>white bars</b>) and <i>Hif-1αΔ/Δ</i> mice (<b>black bars</b>) was measured morphometrically as described in materials and methods (<b>E</b>). Results are presented as mean alveolar thickness with error bars representing the standard error. Alveolar airspace labeled as (a), septae labeled as (S). * = P ≤ 0.05.</p