Derek J. Van Booven

Reciprocal Regulation of Myocardial microRNAs and Messenger RNA in Human Cardiomyopathy and Reversal of the microRNA Signature by Biomechanical Support

Background— Much has been learned about transcriptional control of cardiac gene expression in clinical and experimental congestive heart failure (CHF), but less is known about dynamic regulation of microRNAs (miRs) in CHF and during CHF treatment. We performed comprehensive microarray profiling of miRs and messenger RNAs (mRNAs) in myocardial specimens from human CHF with (n=10) or without (n=17) biomechanical support from left ventricular assist devices in comparison to nonfailing hearts (n=11). Methods and Results— Twenty-eight miRs were upregulated >2.0-fold (P<0.001) in CHF, with nearly complete normalization of the heart failure miR signature by left ventricular assist device treatment. In contrast, of 444 mRNAs that were altered by >1.3-fold in failing hearts, only 29 mRNAs normalized by as much as 25% in post-left ventricular assist device hearts. Unsupervised hierarchical clustering of upregulated miRs and mRNAs with nearest centroid analysis and leave-1-out cross-validation revealed that combining the miR and mRNA signatures increased the ability of RNA profiling to serve as a clinical biomarker of diagnostic group and functional class. Conclusions— These results show that miRs are more sensitive than mRNAs to the acute functional status of end-stage heart failure, consistent with important functions for regulated miRs in the myocardial response to stress. Combined miR and mRNA profiling may have superior potential as a diagnostic and prognostic test in end-stage cardiomyopathy.

RISC RNA Sequencing for Context-Specific Identification of In Vivo MicroRNA Targets

Rationale: MicroRNAs (miRs) are expanding our understanding of cardiac disease and have the potential to transform cardiovascular therapeutics. One miR can target hundreds of individual mRNAs, but existing methodologies are not sufficient to accurately and comprehensively identify these mRNA targets in vivo. Objective: To develop methods permitting identification of in vivo miR targets in an unbiased manner, using massively parallel sequencing of mouse cardiac transcriptomes in combination with sequencing of mRNA associated with mouse cardiac RNA-induced silencing complexes (RISCs). Methods and Results: We optimized techniques for expression profiling small amounts of RNA without introducing amplification bias and applied this to anti–Argonaute 2 immunoprecipitated RISCs (RISC-Seq) from mouse hearts. By comparing RNA-sequencing results of cardiac RISC and transcriptome from the same individual hearts, we defined 1645 mRNAs consistently targeted to mouse cardiac RISCs. We used this approach in hearts overexpressing miRs from Myh6 promoter-driven precursors (programmed RISC-Seq) to identify 209 in vivo targets of miR-133a and 81 in vivo targets of miR-499. Consistent with the fact that miR-133a and miR-499 have widely differing “seed” sequences and belong to different miR families, only 6 targets were common to miR-133a– and miR-499–programmed hearts. Conclusions: RISC-sequencing is a highly sensitive method for general RISC profiling and individual miR target identification in biological context and is applicable to any tissue and any disease state.

Cytochrome P450 2C9-CYP2C9

Center for Pharmacogenomics at Washington University, Washington University, St Louis, Missouri, Genome Quebec and Montreal Heart Institute Pharmacogenomics Centre, Montreal, Quebec Canada, Institute for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, North Carolina, PharmGKB, Department of Genetics and Department of Bioengineering, Stanford University, Stanford, California, USA Correspondence to Dr Teri E. Klein, PhD, Department of Genetics, Stanford University Medical Center, 300 Pasteur Dr Lane L301, Mail Code: 5120, Stanford, CA 94305-5120, USA Tel: + 1 650 725 0659; fax: + 1 650 725 3863; e-mail: feedback@pharmgkb.org

Deep mRNA Sequencing for In Vivo Functional Analysis of Cardiac Transcriptional Regulators. Application to Gαq

Rationale: Transcriptional profiling can detect subclinical heart disease and provide insight into disease etiology and functional status. Current microarray-based methods are expensive and subject to artifact. Objective: To develop RNA sequencing methodologies using next generation massively parallel platforms for high throughput comprehensive analysis of individual mouse cardiac transcriptomes. To compare the results of sequencing- and array-based transcriptional profiling in the well-characterized G&agr;q transgenic mouse hypertrophy/cardiomyopathy model. Methods and Results: The techniques for preparation of individually bar-coded mouse heart RNA libraries for Illumina Genome Analyzer II resequencing are described. RNA sequencing showed that 234 high-abundance transcripts (>60 copies/cell) comprised 55% of total cardiac mRNA. Parallel transcriptional profiling of G&agr;q transgenic and nontransgenic hearts by Illumina RNA sequencing and Affymetrix Mouse Gene 1.0 ST arrays revealed superior dynamic range for mRNA expression and enhanced specificity for reporting low-abundance transcripts by RNA sequencing. Differential mRNA expression in G&agr;q and nontransgenic hearts correlated well between microarrays and RNA sequencing for highly abundant transcripts. RNA sequencing was superior to arrays for accurately quantifying lower-abundance genes, which represented the majority of the regulated genes in the G&agr;q transgenic model. Conclusions: RNA sequencing is rapid, accurate, and sensitive for identifying both abundant and rare cardiac transcripts, and has significant advantages in time- and cost-efficiencies over microarray analysis.

Loss-of-function DNA sequence variant in the CLCNKA chloride channel implicates the cardio-renal axis in interindividual heart failure risk variation

Common heart failure has a strong undefined heritable component. Two recent independent cardiovascular SNP array studies identified a common SNP at 1p36 in intron 2 of the HSPB7 gene as being associated with heart failure. HSPB7 resequencing identified other risk alleles but no functional gene variants. Here, we further show no effect of the HSPB7 SNP on cardiac HSPB7 mRNA levels or splicing, suggesting that the SNP marks the position of a functional variant in another gene. Accordingly, we used massively parallel platforms to resequence all coding exons of the adjacent CLCNKA gene, which encodes the Ka renal chloride channel (ClC-Ka). Of 51 exonic CLCNKA variants identified, one SNP (rs10927887, encoding Arg83Gly) was common, in linkage disequilibrium with the heart failure risk SNP in HSPB7, and associated with heart failure in two independent Caucasian referral populations (n = 2,606 and 1,168; combined P = 2.25 × 10−6). Individual genotyping of rs10927887 in the two study populations and a third independent heart failure cohort (combined n = 5,489) revealed an additive allele effect on heart failure risk that is independent of age, sex, and prior hypertension (odds ratio = 1.27 per allele copy; P = 8.3 × 10−7). Functional characterization of recombinant wild-type Arg83 and variant Gly83 ClC-Ka chloride channel currents revealed ≈50% loss-of-function of the variant channel. These findings identify a common, functionally significant genetic risk factor for Caucasian heart failure. The variant CLCNKA risk allele, telegraphed by linked variants in the adjacent HSPB7 gene, uncovers a previously overlooked genetic mechanism affecting the cardio-renal axis.

Irinotecan pharmacogenetics: influence of pharmacodynamic genes.

Purpose: Irinotecan is an important drug for the treatment of solid tumors. Although genes involved in irinotecan pharmacokinetics have been shown to influence toxicity, there are no data on pharmacodynamic genes. CDC45L, NFKB1, PARP1, TDP1, and XRCC1 have been shown to influence the cytotoxic action of camptothecins, including irinotecan. Polymorphisms in the drug target of camptothecins, topoisomerase I (TOP1), and downstream effectors may influence patient outcomes to irinotecan therapy. We undertook a retrospective candidate gene haplotype association study to investigate this hypothesis. Experimental Design: Haplotype compositions of six candidate genes were constructed in European (n = 93), East Asian (n = 94), and West African (n = 95) populations. Haplotype-tagging single nucleotide polymorphisms (htSNP) were selected based on genealogic relationships between haplotypes. DNA samples from 107 European, advanced colorectal cancer patients treated with irinotecan-based regimens were genotyped for htSNPs as well as three coding region SNPs. Associations between genetic variants and toxicity (grade 3/4 diarrhea and neutropenia) or efficacy (objective response) were assessed. Results:TOP1 and TDP1 htSNPs were related to grade 3/4 neutropenia (P = 0.04) and response (P = 0.04), respectively. Patients homozygous for an XRCC1 haplotype (GGCC-G) were more likely to show an objective response to therapy than other patients (83% versus 30%; P = 0.02). This effect was also seen in a multivariate analysis (odds ratio, 11.9; P = 0.04). No genetic variants were associated with diarrhea. Conclusions: This is the first comprehensive pharmacogenetic investigation of irinotecan pharmacodynamic factors, and our findings suggest that genetic variation in the pharmacodynamic genes may influence the efficacy of irinotecan-containing therapies in advanced colorectal cancer patients.PURPOSE Irinotecan is an important drug for the treatment of solid tumors. Although genes involved in irinotecan pharmacokinetics have been shown to influence toxicity, there are no data on pharmacodynamic genes. CDC45L, NFKB1, PARP1, TDP1, and XRCC1 have been shown to influence the cytotoxic action of camptothecins, including irinotecan. Polymorphisms in the drug target of camptothecins, topoisomerase I (TOP1), and downstream effectors may influence patient outcomes to irinotecan therapy. We undertook a retrospective candidate gene haplotype association study to investigate this hypothesis. EXPERIMENTAL DESIGN Haplotype compositions of six candidate genes were constructed in European (n = 93), East Asian (n = 94), and West African (n = 95) populations. Haplotype-tagging single nucleotide polymorphisms (htSNP) were selected based on genealogic relationships between haplotypes. DNA samples from 107 European, advanced colorectal cancer patients treated with irinotecan-based regimens were genotyped for htSNPs as well as three coding region SNPs. Associations between genetic variants and toxicity (grade 3/4 diarrhea and neutropenia) or efficacy (objective response) were assessed. RESULTS TOP1 and TDP1 htSNPs were related to grade 3/4 neutropenia (P = 0.04) and response (P = 0.04), respectively. Patients homozygous for an XRCC1 haplotype (GGCC-G) were more likely to show an objective response to therapy than other patients (83% versus 30%; P = 0.02). This effect was also seen in a multivariate analysis (odds ratio, 11.9; P = 0.04). No genetic variants were associated with diarrhea. CONCLUSIONS This is the first comprehensive pharmacogenetic investigation of irinotecan pharmacodynamic factors, and our findings suggest that genetic variation in the pharmacodynamic genes may influence the efficacy of irinotecan-containing therapies in advanced colorectal cancer patients.

Cardiac signaling genes exhibit unexpected sequence diversity in sporadic cardiomyopathy, revealing HSPB7 polymorphisms associated with disease.

Sporadic heart failure is thought to have a genetic component, but the contributing genetic events are poorly defined. Here, we used ultra-high-throughput resequencing of pooled DNAs to identify SNPs in 4 biologically relevant cardiac signaling genes, and then examined the association between allelic variants and incidence of sporadic heart failure in 2 large Caucasian populations. Resequencing of DNA pools, each containing DNA from approximately 100 individuals, was rapid, accurate, and highly sensitive for identifying common and rare SNPs; it also had striking advantages in time and cost efficiencies over individual resequencing using conventional Sanger methods. In 2,606 individuals examined, we identified a total of 129 separate SNPs in the 4 cardiac signaling genes, including 23 nonsynonymous SNPs that we believe to be novel. Comparison of allele frequencies between 625 Caucasian nonaffected controls and 1,117 Caucasian individuals with systolic heart failure revealed 12 SNPs in the cardiovascular heat shock protein gene HSPB7 with greater proportional representation in the systolic heart failure group; all 12 SNPs were confirmed in an independent replication study. These SNPs were found to be in tight linkage disequilibrium, likely reflecting a single genetic event, but none altered amino acid sequence. These results establish the power and applicability of pooled resequencing for comparative SNP association analysis of target subgenomes in large populations and identify an association between multiple HSPB7 polymorphisms and heart failure.

Global pharmacogenetics: giving the genome to the masses

With pharmacogenetics comes the promise of individualized therapy selection for many common diseases where multiple treatment options are available. Recent advances including the Human Genome Project, the International HapMap project, advances in throughput and reduction in cost of genetic testing, and the inclusion of genotype-related dosing recommendations into package inserts all point to the integration of pharmacogenetics into clinical practice. However, many countries will not have access to pharmacogenetics resources in the near future. Generation of global genotype profiles will provide a useful, but not perfect resource for incorporating pharmacogenetics into national drug formularies in the form of prioritization or surveillance where individual genotype data would not be attainable. The PharmacoGenetics for Every Nation Initiative is a first step to making pharmacogenetics applicable on a global level.

Identification of NR1I2 genetic variation using resequencing.

ObjectiveThe nuclear receptor NR1I2 (also called PXR or SXR) is primarily expressed in mouse and human liver and intestines. Direct activation of NR1I2 occurs in response to a range of xenobiotics, which causes the formation of a heterodimer with the RXR receptor. This heterodimer binds to the nuclear receptor response elements of downstream genes such as ABCB1, CYP2C, and CYP3A. This study determined the extent of NR1I2 variation in three world populations.MethodsVariation in NR1I2 was identified by pooled resequencing in African, Asian, and European populations. Validation was performed in European and African populations using PCR and Pyrosequencing technology. RNA expression of NR1I2, ABCB1 and CYP3A4 was assessed using real-time PCR.ResultsOf 36 single nucleotide polymorphisms (SNPs) identified, 24 were in the untranslated region, 8 were intronic, and 4 exonic. Thirty-six percent were unique to the African population. In comparison with previously published data, we identified 13 novel polymorphisms. The NR1I2 −566A  >  C polymorphism was significantly associated with ABCB1 and CYP3A4 RNA expression in colon tumor (P = 0.04 in both cases), however, this polymorphism was not associated with NR1I2 expression.ConclusionWith NR1I2 playing such a large role in the regulation of genes involved in drug metabolism and transport, genetic variation contributing to altered NR1I2 function may have an important clinical impact.

Articles: Association of An Intronic, but Not Any Exonic, FRMD4B Sequence Variant and Heart Failure

Common forms of heart failure (HF) exhibit familial clustering, but specific genetic risk factors have been challenging to identify. A recent single‐nucleotide polymorphism (SNP) microarray study implicated a locus within an intron of FRMD4B in Caucasian HF. Here, we used next‐generation resequencing of pooled DNA and individual Sequenom genotyping to test for associations between FRMD4B SNPs and ischemic and/or nonischemic cardiomyopathy in two independent populations. Exonic resequencing of Caucasians and African‐Americans identified 32 FRMD4B SNPs, 13 of which had allele frequencies greater than 1%. None of these common FRMD4B SNPs were significantly associated with ischemic, nonischemic, or all‐cause HF in either of the study populations. We individually genotyped the seminal intronic rs6787362 FRMD4B SNP in the primary study population and compared genotypes between HF cases and controls. The rs6787362 variant allele was more frequent in Caucasians with ischemic cardiomyopathy, and carriers (heterozygous or homozygous) of the variant allele had increased risk of HF (OR 1.437, CI 1.085–1.904; p= 0.0118). No such association was seen for African‐American HF. These results confirm an association between the intronic rs6787362 FRMD4B SNP and ischemic cardiomyopathy in a European‐derived population, but do not support the proposition that coding FRMD4B variants are susceptibility factors in common HF. Clin Trans Sci 2010; Volume 3: 134–139