Divergent trajectories to structural diversity impact patient survival in high grade serous ovarian cancer.

Deciphering the structural variation across tumour genomes is crucial to determine the events driving tumour progression and better understand tumour adaptation and evolution. High grade serous ovarian cancer (HGSOC) is an exemplar tumour type showing extreme, but poorly characterised structural diversity. Here, we comprehensively describe the mutational landscape driving HGSOC, exploiting a large (N = 324), deeply whole genome sequenced dataset.

Assessing the contribution of rare protein-coding germline variants to prostate cancer risk and severity in 37,184 cases.

To assess the contribution of rare coding germline genetic variants to prostate cancer risk and severity, we perform here a meta-analysis of 37,184 prostate cancer cases and 331,329 male controls from five cohorts with germline whole exome or genome sequencing data, and one cohort with imputed array data. At the gene level, our case-control collapsing analysis confirms associations between rare damaging variants in four genes and increased prostate cancer risk: SAMHD1, BRCA2 and ATM at the study-wide significance level (P < 1×10), and CHEK2 at the suggestive threshold (P < 2.6×10).

Somatic BRCA1/2 mutations are associated with a similar survival advantage to their germline counterparts in tubo-ovarian high grade serous carcinoma.

Background: Half of high grade serous tubo-ovarian carcinomas (HGSOC) demonstrate homologous recombination repair (HRR) deficiency, most commonly through germline or somatic pathogenic variants in BRCA1/2 (gBRCA1/2 or sBRCA1/2). gBRCA1/2 is associated with favourable survival, greater response rate to platinum-based chemotherapy, and marked sensitivity to poly(ADP-ribose) polymerase (PARP) inhibitors. sBRCA1/2 has been assumed to confer a similar clinical phenotype; however, few studies have specifically investigated sBRCA1/2 versus gBRCA1/2 to demonstrate their equivalence.

Characterising the contribution of rare protein-coding germline variants to prostate cancer risk and severity in 37,184 cases.

The etiology of prostate cancer, the second most common cancer in men globally, has a strong heritable component. While rare coding germline variants in several genes have been identified as risk factors from candidate gene and linkage studies, the exome-wide spectrum of causal rare variants remains to be fully explored. To more comprehensively address their contribution, we analysed data from 37,184 prostate cancer cases and 331,329 male controls from five cohorts with germline exome/genome sequencing and one cohort with imputed array data from a population enriched in low-frequency deleterious variants.

Integrated analyses of growth differentiation factor-15 concentration and cardiometabolic diseases in humans.

Growth differentiation factor-15 (GDF15) is a stress response cytokine that is elevated in several cardiometabolic diseases and has attracted interest as a potential therapeutic target. To further explore the association of GDF15 with human disease, we conducted a broad study into the phenotypic and genetic correlates of GDF15 concentration in up to 14,099 individuals. Assessment of 772 traits across 6610 participants in FINRISK identified associations of GDF15 concentration with a range of phenotypes including all-cause mortality, cardiometabolic disease, respiratory diseases and psychiatric disorders, as well as inflammatory markers.

Multiomic Characterization of High-Grade Serous Ovarian Carcinoma Enables High-Resolution Patient Stratification.

Purpose: High-grade serous ovarian carcinoma (HGSOC) is the most common ovarian cancer type; most patients experience disease recurrence that accumulates chemoresistance, leading to treatment failure. Genomic and transcriptomic features have been associated with differential outcome and treatment response. However, the relationship between events at the gene sequence, copy number, and gene-expression levels remains poorly defined.

Rare variant contribution to human disease in 281,104 UK Biobank exomes.

Genome-wide association studies have uncovered thousands of common variants associated with human disease, but the contribution of rare variants to common disease remains relatively unexplored. The UK Biobank contains detailed phenotypic data linked to medical records for approximately 500,000 participants, offering an unprecedented opportunity to evaluate the effect of rare variation on a broad collection of traits. Here we study the relationships between rare protein-coding variants and 17,361 binary and 1,419 quantitative phenotypes using exome sequencing data from 269,171 UK Biobank participants of European ancestry.

A novel automated SARS-CoV-2 saliva PCR test protects a global asymptomatic workforce.

Regular PCR testing of nasopharyngeal swabs from symptomatic individuals for SARS-CoV-2 virus has become the established method by which health services are managing the COVID-19 pandemic. Businesses such as AstraZeneca have also prioritised voluntary asymptomatic testing to keep workplaces safe and maintain supply of essential medicines to patients. We describe the development of an internal automated SARS-CoV-2 testing programme including the transformative introduction of saliva as an alternative sample type.

Exome-Based Rare-Variant Analyses in CKD.

Background: Studies have identified many common genetic associations that influence renal function and all-cause CKD, but these explain only a small fraction of variance in these traits. The contribution of rare variants has not been systematically examined.

Methods: We performed exome sequencing of 3150 individuals, who collectively encompassed diverse CKD subtypes, and 9563 controls.

Diagnostic Utility of Exome Sequencing for Kidney Disease.

Background: Exome sequencing is emerging as a first-line diagnostic method in some clinical disciplines, but its usefulness has yet to be examined for most constitutional disorders in adults, including chronic kidney disease, which affects more than 1 in 10 persons globally.

Methods: We conducted exome sequencing and diagnostic analysis in two cohorts totaling 3315 patients with chronic kidney disease. We assessed the diagnostic yield and, among the patients for whom detailed clinical data were available, the clinical implications of diagnostic and other medically relevant findings.

Impact of a five-dimensional framework on R&D productivity at AstraZeneca.

In 2011, AstraZeneca embarked on a major revision of its research and development (R&D) strategy with the aim of improving R&D productivity, which was below industry averages in 2005-2010. A cornerstone of the revised strategy was to focus decision-making on five technical determinants (the right target, right tissue, right safety, right patient and right commercial potential). In this article, we describe the progress made using this '5R framework' in the hope that our experience could be useful to other companies tackling R&D productivity issues.

Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework.

Maintaining research and development (R&D) productivity at a sustainable level is one of the main challenges currently facing the pharmaceutical industry. In this article, we discuss the results of a comprehensive longitudinal review of AstraZeneca's small-molecule drug projects from 2005 to 2010. The analysis allowed us to establish a framework based on the five most important technical determinants of project success and pipeline quality, which we describe as the five 'R's: the right target, the right patient, the right tissue, the right safety and the right commercial potential.

Interstitial lung disease in gefitinib-treated Japanese patients with non-small-cell lung cancer: genome-wide analysis of genetic data.

Aim: To investigate potential relationships between SNPs and acute interstitial lung disease (ILD) events in Japanese non-small-cell lung cancer patients receiving gefitinib.

Materials & Methods: Japanese non-small-cell lung cancer patients treated with gefitinib from a prospective pharmacoepidemiological cohort with a nested case-control study component ('CCS'; 52 ILD cases, 139 controls) and a retrospective study (28 ILD cases, 55 controls) were genotyped for nearly 500,000 SNPs. Associations between genotype and ILD were evaluated using Fisher's exact test and logistic regression modeling, and false discovery rate analysis was used to adjust for the large number of statistical tests.

Delivering on the promise of personalized healthcare.

Personalized healthcare (PHC) aims to deliver the right medicine, to the right patient, at the right dose and time, and has the potential to benefit everyone in the healthcare system. Delivering the promise of PHC depends on overcoming key challenges (e.g.

Gene mapping strategies for complex disease and drug response.

The identification of genetic variants involved in disease susceptibility and response to drugs through the use of statistical and epidemiological approaches is a potentially powerful methodology for uncovering causal relationships in human disease and its treatment. Here we introduce and compare the application of genetics in these two fields of research.:

Challenges and opportunities of pharmacogenetics in drug development.

Drugs fail the regulatory process for a variety of reasons, including issues with pharmacokinetics, safety and efficacy. One of the most exciting questions in drug development today is how far the science of pharmacogenetics, the study of the genetics of drug response, can be used to address the fundamental issues that the pharmaceutical industry is facing. In particular, the question of how far it is possible to use this emerging science to deliver the right treatment, to the right patient, at the right dose, at the right time is both the challenge and opportunity of using pharmacogenetics in drug development.

Serious carbamazepine-induced hypersensitivity reactions associated with the HSP70 gene cluster.

Objectives: The use of carbamazepine (CBZ), the most commonly prescribed antiepileptic drug, is hampered by the occurrence of severe, potentially lethal hypersensitivity reactions. The pathogenesis of hypersensitivity is not yet known, but immune mechanisms are involved. Predisposition to CBZ hypersensitivity is likely to be genetically determined, and genes within the major histocompatibility complex (MHC) have been implicated.

Selecting cases from nuclear families for case-control association analysis.

We examine the efficiency of a number of schemes to select cases from nuclear families for case-control association analysis using the Genetic Analysis Workshop 14 simulated dataset. We show that with this simulated dataset comparing all affected siblings with unrelated controls is considerably more powerful than all of the other approaches considered. We find that the test statistic is increased by almost 3-fold compared to the next best sampling schemes of selecting all affected sibs only from families with affected parents (AF aff), one affected sib with most evidence of allele-sharing from each family (SF), and all affected sibs from families with evidence for linkage (AF L).

Automation and validation of DNA-banking systems.

DNA banking is one of the central capabilities on which modern genetic research rests. The DNA-banking system plays an essential role in the flow of genetic data from patients and genetics researchers to the application of genetic research in the clinic. Until relatively recently, large collections of DNA samples were not common in human genetics.

Rosuvastatin pharmacokinetics and pharmacogenetics in white and Asian subjects residing in the same environment.

Background: Systemic exposure to rosuvastatin had been observed to be approximately 2-fold higher in Japanese subjects living in Japan compared with white subjects in Western Europe or the United States. The organic anion transporting polypeptide 1B1 contributes to the hepatic uptake of rosuvastatin. Polymorphisms in the SLCO1B1 gene can lead to reduced transport function in vitro (T 521>C).

Novel technology and the development of pharmacogenetics within the pharmaceutical industry.

This article focuses on the role of pharmacogenetics (PGx) technology across the drug development pipeline. Recent technology developments in three main areas are discussed: the discovery of polymorphisms or other variants in genes of interest; genotyping technologies used in PGx research (both for candidate gene analyses and for a whole-genome association approach); and the use of genotyping in patients prior to prescription (diagnostics). Finally, the associated issues of genetic data management and analysis are addressed, and the challenges facing the pharmaceutical industry in storing, manipulating and exploiting the large and complex data sets that will be generated from emerging PGx platforms are discussed.