Phenotype standardization for drug-induced kidney disease.

Drug-induced kidney disease is a frequent cause of renal dysfunction; however, there are no standards to identify and characterize the spectrum of these disorders. We convened a panel of international, adult and pediatric, nephrologists and pharmacists to develop standardized phenotypes for drug-induced kidney disease as part of the phenotype standardization project initiated by the International Serious Adverse Events Consortium. We propose four phenotypes of drug-induced kidney disease based on clinical presentation: acute kidney injury, glomerular, tubular, and nephrolithiasis, along with the primary and secondary clinical criteria to support the phenotype definition, and a time course based on the KDIGO/AKIN definitions of acute kidney injury, acute kidney disease, and chronic kidney disease. Establishing causality in drug-induced kidney disease is challenging and requires knowledge of the biological plausibility for the specific drug, mechanism of injury, time course, and assessment of competing risk factors. These phenotypes provide a consistent framework for clinicians, investigators, industry, and regulatory agencies to evaluate drug nephrotoxicity across various settings. We believe that this is the first step to recognizing drug-induced kidney disease and developing strategies to prevent and manage this condition.

The innovative use of a large-scale industry biomedical consortium to research the genetic basis of drug induced serious adverse events.

The International Serious Adverse Event Consortium (SAEC) is a pharmaceutical industry and FDA led international (501 c3 non-profit) consortium, focused on identifying and validating DNA-variants useful in predicting the risk of drug induced, rare serious adverse events (SAEs). As such, it functions with the explicit purpose of enhancing the 'public good'. Its members are (i) organizations engaged principally in the business of discovering, developing and marketing pharmaceutical products, or (ii) a charitable, governmental, or other non-profit organization with an interest in researching the molecular basis of drug response.Drug-induced, rare SAEs present significant health issues for patients; and pose challenges for the safe use of approved drugs and the development of new drugs. Examples of drug-induced, rare SAEs include hepatotoxicity, QT prolongation, rhabdomyolosis, serious skin rashes (e.g. SJS), edema, acute renal failure, acute hypersensitivity, anemias/neutropenias, excessive weigh gain, retinopathy, vasculitis, among others. The rarity of such drug induced SAEs and the absence of effective government surveillance/research networks, makes it extremely difficult for any one company or research entity to accrue enough SAE cases and controls to conduct effective whole genome studies. Central to the notion of the SAEC is industry, government and health care providers can join forces to make use of a variety of sample and data resources in researching the genetic basis of these events.The purpose of the SAEC is threefold:•To carry out research directed toward the discovery of DNA-variants clinically useful in understanding and predicting the risk of drug induced serious adverse events and similar scientific research.•To ensure the widespread availability of the results of such research to the scientific research community and the public at large for no charge through publication and web-based methods; and•To educate the scientific research and medical communities about issues related to severe adverse drug reactions and about issues related to the Consortium's research.The SAEC was launched in late September of 2007 with the scientific, technical and financial support of eight founding industrial research-funding members (i.e. Abbott, GSK, J & J, Novartis, Pfizer, Roche, Sanofi-Aventis and Wyeth). Additional members are being added as the consortium executes its phase one research program and develops its future plans.The Consortium's will focus initially on two research projects. It will attempt to identify DNA variants associated with drug-induced liver-disease and serious skin rashes [e.g. Stevens-Johnson syndrome ('SJS') and toxic epidermal necrolysis ('TEN')]. These two projects, while important in their own right, will also allow the SAEC to generate initial results in a reasonable time frame (owing to the availability of established case-control DNA sample collections) and build its core operations. Simultaneous with the Phase 1 research activities, the SAEC will plan follow on, hypothesis driven studies (post whole genome association studies) for DILI and SJS and explore the feasibility of whole genome research on additional SAEs. Our long term goal is to discover and validate genetic markers predictive of the major drug induced, rare SAEs and make these available at no cost at the same time, unencumbered by any intellectual property constraints, to all researchers and developers of clinical diagnostics.

The international serious adverse events consortium.

The International Serious Adverse Events Consortium is generating novel insights into the genetics and biology of drug-induced serious adverse events, and thereby improving pharmaceutical product development and decision-making.

Clozapine-induced agranulocytosis is associated with rare HLA-DQB1 and HLA-B alleles.

Clozapine is a particularly effective antipsychotic medication but its use is curtailed by the risk of clozapine-induced agranulocytosis/granulocytopenia (CIAG), a severe adverse drug reaction occurring in up to 1% of treated individuals. Identifying genetic risk factors for CIAG could enable safer and more widespread use of clozapine. Here we perform the largest and most comprehensive genetic study of CIAG to date by interrogating 163 cases using genome-wide genotyping and whole-exome sequencing. We find that two loci in the major histocompatibility complex are independently associated with CIAG: a single amino acid in HLA-DQB1 (126Q) (P=4.7 × 10(-14), odds ratio (OR)=0.19, 95% confidence interval (CI)=0.12-0.29) and an amino acid change in the extracellular binding pocket of HLA-B (158T) (P=6.4 × 10(-10), OR=3.3, 95% CI=2.3-4.9). These associations dovetail with the roles of these genes in immunogenetic phenotypes and adverse drug responses for other medications, and provide insight into the pathophysiology of CIAG.

Linkage disequilibrium and inference of ancestral recombination in 538 single-nucleotide polymorphism clusters across the human genome.

The prospect of using linkage disequilibrium (LD) for fine-scale mapping in humans has attracted considerable attention, and, during the validation of a set of single-nucleotide polymorphisms (SNPs) for linkage analysis, a set of data for 4,833 SNPs in 538 clusters was produced that provides a rich picture of local attributes of LD across the genome. LD estimates may be biased depending on the means by which SNPs are first identified, and a particular problem of ascertainment bias arises when SNPs identified in small heterogeneous panels are subsequently typed in larger population samples. Understanding and correcting ascertainment bias is essential for a useful quantitative assessment of the landscape of LD across the human genome. Heterogeneity in the population recombination rate, rho=4Nr, along the genome reflects how variable the density of markers will have to be for optimal coverage. We find that ascertainment-corrected rho varies along the genome by more than two orders of magnitude, implying great differences in the recombinational history of different portions of our genome. The distribution of rho is unimodal, and we show that this is compatible with a wide range of mixtures of hotspots in a background of variable recombination rate. Although rho is significantly correlated across the three population samples, some regions of the genome exhibit population-specific spikes or troughs in rho that are too large to be explained by sampling. This result is consistent with differences in the genealogical depth of local genomic regions, a finding that has direct bearing on the design and utility of LD mapping and on the National Institutes of Health HapMap project.

A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Recent advances in technologies for high-throughout single-nucleotide polymorphism (SNP)-based genotyping have improved efficiency and cost so that it is now becoming reasonable to consider the use of SNPs for genomewide linkage analysis. However, a suitable screening set of SNPs and a corresponding linkage map have yet to be described. The SNP maps described here fill this void and provide a resource for fast genome scanning for disease genes. We have evaluated 6,297 SNPs in a diversity panel composed of European Americans, African Americans, and Asians. The markers were assessed for assay robustness, suitable allele frequencies, and informativeness of multi-SNP clusters. Individuals from 56 Centre d'Etude du Polymorphisme Humain pedigrees, with >770 potentially informative meioses altogether, were genotyped with a subset of 2,988 SNPs, for map construction. Extensive genotyping-error analysis was performed, and the resulting SNP linkage map has an average map resolution of 3.9 cM, with map positions containing either a single SNP or several tightly linked SNPs. The order of markers on this map compares favorably with several other linkage and physical maps. We compared map distances between the SNP linkage map and the interpolated SNP linkage map constructed by the deCode Genetics group. We also evaluated cM/Mb distance ratios in females and males, along each chromosome, showing broadly defined regions of increased and decreased rates of recombination. Evaluations indicate that this SNP screening set is more informative than the Marshfield Clinic's commonly used microsatellite-based screening set.