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Schildkraut, J.

Publications and source records attributed to Schildkraut, J..

4 recordsLinked to original sources

CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data

A transcriptome-wide association study (TWAS) is a popular statistical method for identifying genes whose genetically-regulated expression (GReX) component is associated with a trait of interest. Most TWAS approaches fundamentally assume that the training dataset (used to fit the gene expression prediction model) and testing GWAS dataset are from the same ancestrally homogenous population. If this assumption is violated, studies have shown a marked negative impact on expression prediction accuracy as well as reduced power of the downstream genetrait association test. These issues pose a particular problem for admixed individuals, whose genomes represent a mosaic of multiple continental ancestral segments. To resolve these issues, we present CADET, which enables powerful TWAS of admixed cohorts leveraging the local-ancestry (LA) information of the cohort along with summary-level eQTL data from reference panels of different ancestral groups. CADET combines multiple polygenic risk score models based on the summary-level eQTL reference data to predict LA-aware GReX components in admixed test samples. Using simulated data, we compare the imputation accuracy, power, and type I error rate of our proposed LA-aware approach to LA-unaware methods for performing TWASs. We show that CADET performs optimally in nearly all settings regardless of whether the genetic architecture of gene expression is dependent or independent of ancestry. We further illustrate CADET by performing a TWAS of 29 common blood biochemistry phenotypes within an admixed cohort from the UK Biobank and identify 18 hits unique to our LA-aware strategy with the majority of hits supported by existing GWAS findings.

genetics↗

Cis- and trans-eQTL TWAS of breast and ovarian cancer identify more than 100 risk associated genes in the BCAC and OCAC consortia

Transcriptome-wide association studies (TWAS) have investigated the role of genetically regulated transcriptional activity in the etiologies of breast and ovarian cancer. However, methods performed to date have only considered regulatory effects of risk associated SNPs thought to act in cis on a nearby target gene. With growing evidence for distal (trans) regulatory effects of variants on gene expression, we performed TWAS of breast and ovarian cancer using a Bayesian genome-wide TWAS method (BGW-TWAS) that considers effects of both cis- and trans-expression quantitative trait loci (eQTLs). We applied BGW-TWAS to whole genome and RNA sequencing data in breast and ovarian tissues from the Genotype-Tissue Expression project to train expression imputation models. We applied these models to large-scale GWAS summary statistic data from the Breast Cancer and Ovarian Cancer Association Consortia to identify genes associated with risk of overall breast cancer, non-mucinous epithelial ovarian cancer, and 10 cancer subtypes. We identified 101 genes significantly associated with risk with breast cancer phenotypes and 8 with ovarian phenotypes. These loci include established risk genes and several novel candidate risk loci, such as ACAP3, whose associations are predominantly driven by trans-eQTLs. We replicated several associations using summary statistics from an independent GWAS of these cancer phenotypes. We further used genotype and expression data in normal and tumor breast tissue from the Cancer Genome Atlas to examine the performance of our trained expression imputation models. This work represents a first look into the role of trans-eQTLs in the complex molecular mechanisms underlying these diseases.

genetics↗

Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations

We report a meta-analysis of breast, prostate, ovarian, and endometrial cancer genome-wide association data (effective sample size: 237,483 cases/317,006 controls). This identified 465 independent lead variants (P<5x10-8) across 192 genomic regions. Four lead variants were >1Mb from previously identified risk loci for the four cancers and an additional 23 lead variant-cancer associations were novel for one of the cancers. Bayesian models supported pleiotropic effects involving at least two cancers at 222/465 lead variants in 118/192 regions. Gene-level association analysis identified 13 shared susceptibility genes (P<2.6x10-6) in 13 regions not previously implicated in any of the four cancers and not uncovered by our variant-level meta-analysis. Several lead variants had opposite effects across cancers, including a cluster of such variants in the TP53 pathway. Fifty-four lead variants were associated with blood cell traits and suggested genetic overlaps with clonal hematopoiesis. Our study highlights the remarkable pervasiveness of pleiotropy across hormone-related cancers, further illuminating their shared genetic and mechanistic origins at variant- and gene-level resolution.

genetics↗

Genome-wide analysis in Escherichia coli unravels an unprecedented level of genetic homoplasy associated with cefotaxime resistance.

ABSTRACTCefotaxime (CTX) is a commonly used third-generation cephalosporin (3GC) to treat infections caused by Escherichia coli. Two genetic mechanisms have been associated with 3GC resistance in E. coli. The first is the conjugative transfer of a plasmid harboring antibiotic resistance genes. The second is the introduction of mutations in the promoter region of the ampC β-lactamase gene that cause chromosomal-encoded β-lactamase hyperproduction. A wide variety of promoter mutations related to AmpC hyperproduction have been described. However, their link to a specific 3GC such as CTX resistance has not been reported. Here, we measured CTX MICs in 172 cefoxitin resistant E. coli isolates and performed genome-wide analysis of homoplastic mutations associated with CTX resistance by comparing Illumina whole-genome sequencing data of all isolates to a PacBio tailored-made reference chromosome. We mapped the mutations on the reference chromosome and determined their occurrence in the phylogeny, revealing extreme homoplasy at the −42 position of the ampC promoter. The 24 occurrences of a “T” at the −42 position rather than the wild type “C”, resulted from 18 independent C>T mutations in 5 phylogroups. The −42 C>T mutation was only observed in E. coli lacking a plasmid-encoded ampC gene. The association of the −42 C>T mutation with CTX resistance was confirmed to be significant (FDR < 0.05). To conclude, genome-wide analysis of homoplasy in combination with CTX resistance identifies the −42 C>T mutation of the ampC promotor as significantly associated with CTX resistance and underline the role of recurrent mutations in the spread of antibiotics resistance.Impact Statement In the past decades, the worldwide spread of extended spectrum beta-lactamases (ESBLs) has led to a substantial increase in the prevalence of resistant common pathogens, thereby restricting available treatment options. Although acquired resistance genes, e.g. ESBLs, get most attention, chromosome-encoded resistance mechanisms may play an important role as well. In E. coli chromosome-encoded β-lactam resistance can be caused by alterations in the promoter region of the ampC gene. To improve our understanding of how frequently these alterations occur, a comprehensive interpretation of the evolution of these mutations is essential. This study is the first to apply genome-wide homoplasy analysis to better perceive adaptation of the E. coli genome to antibiotics. Thereby, this study grants insights into how chromosomal-encoded antibiotic resistance evolves and, by combining genome-wide association studies with homoplasy analyses, provides potential strategies for future association studies into the causes of antibiotics resistance.Data summary All data is available under BioProject: PRJNA592140. Raw Illumina sequencing data and metadata of all 171 E. coli isolates used in this study is available from the Sequence Read Archive database under accession no. SAMN15052485 to SAMN15052655. Full reference chromosome of ampC_0069 is available via GenBank accession no. CP046396.1 and NCBI Reference Sequence: NZ_CP046396.1.Competing Interest StatementThe authors have declared no competing interest.Abbreviations3GCthird-generation cephalosporincampCchromosomal-mediated ampCCATcomputerized adaptive testingCTXcefotaximeDNADeoxyribonucleic acidEHECenterohemorrhagic Escherichia ColiESBLextended-spectrum β-lactamasesFOXcefoxitingDNAgenomic DNAMICsminimal inhibitory concentrationsMLSTmultilocus sequence typingpampCplasmid-mediated ampCPGpeptidoglycanqRT-PCRquantitative reverse transciptase polymerase chain reactionSMRTSingle-molecule real-time sequencingSNPsingle-nucleotide polymorphismSTsequence typeUPECuropathogene Escherichia ColiWGSwhole genome sequencingView Full Text

microbiology↗