Andrea Jorgensen
University of Liverpool
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Featured researches published by Andrea Jorgensen.
The New England Journal of Medicine | 2013
Munir Pirmohamed; Girvan Burnside; Niclas Eriksson; Andrea Jorgensen; Cheng Hock Toh; Toby Nicholson; Patrick Kesteven; Christina Christersson; Bengt Wahlström; Christina Stafberg; J. Eunice Zhang; Julian Leathart; Hugo Kohnke; Anke H. Maitland-van der Zee; Paula Williamson; Ann K. Daly; Peter Avery; Farhad Kamali; Mia Wadelius; Abstr Act
BACKGROUND The level of anticoagulation in response to a fixed-dose regimen of warfarin is difficult to predict during the initiation of therapy. We prospectively compared the effect of genotype-guided dosing with that of standard dosing on anticoagulation control in patients starting warfarin therapy. METHODS We conducted a multicenter, randomized, controlled trial involving patients with atrial fibrillation or venous thromboembolism. Genotyping for CYP2C9*2, CYP2C9*3, and VKORC1 (-1639G→A) was performed with the use of a point-of-care test. For patients assigned to the genotype-guided group, warfarin doses were prescribed according to pharmacogenetic-based algorithms for the first 5 days. Patients in the control (standard dosing) group received a 3-day loading-dose regimen. After the initiation period, the treatment of all patients was managed according to routine clinical practice. The primary outcome measure was the percentage of time in the therapeutic range of 2.0 to 3.0 for the international normalized ratio (INR) during the first 12 weeks after warfarin initiation. RESULTS A total of 455 patients were recruited, with 227 randomly assigned to the genotype-guided group and 228 assigned to the control group. The mean percentage of time in the therapeutic range was 67.4% in the genotype-guided group as compared with 60.3% in the control group (adjusted difference, 7.0 percentage points; 95% confidence interval, 3.3 to 10.6; P<0.001). There were significantly fewer incidences of excessive anticoagulation (INR ≥4.0) in the genotype-guided group. The median time to reach a therapeutic INR was 21 days in the genotype-guided group as compared with 29 days in the control group (P<0.001). CONCLUSIONS Pharmacogenetic-based dosing was associated with a higher percentage of time in the therapeutic INR range than was standard dosing during the initiation of warfarin therapy. (Funded by the European Commission Seventh Framework Programme and others; ClinicalTrials.gov number, NCT01119300.).
Blood | 2010
Nita A. Limdi; Mia Wadelius; Larisa H. Cavallari; Niclas Eriksson; Dana C. Crawford; Ming Ta M. Lee; Chien Hsiun Chen; Alison A. Motsinger-Reif; Hersh Sagreiya; Nianjun Liu; Alan H.B. Wu; Brian F. Gage; Andrea Jorgensen; Munir Pirmohamed; Jae Gook Shin; Guilherme Suarez-Kurtz; Stephen E. Kimmel; Julie A. Johnson; Teri E. Klein; Michael J. Wagner
Warfarin-dosing algorithms incorporating CYP2C9 and VKORC1 -1639G>A improve dose prediction compared with algorithms based solely on clinical and demographic factors. However, these algorithms better capture dose variability among whites than Asians or blacks. Herein, we evaluate whether other VKORC1 polymorphisms and haplotypes explain additional variation in warfarin dose beyond that explained by VKORC1 -1639G>A among Asians (n = 1103), blacks (n = 670), and whites (n = 3113). Participants were recruited from 11 countries as part of the International Warfarin Pharmacogenetics Consortium effort. Evaluation of the effects of individual VKORC1 single nucleotide polymorphisms (SNPs) and haplotypes on warfarin dose used both univariate and multi variable linear regression. VKORC1 -1639G>A and 1173C>T individually explained the greatest variance in dose in all 3 racial groups. Incorporation of additional VKORC1 SNPs or haplotypes did not further improve dose prediction. VKORC1 explained greater variability in dose among whites than blacks and Asians. Differences in the percentage of variance in dose explained by VKORC1 across race were largely accounted for by the frequency of the -1639A (or 1173T) allele. Thus, clinicians should recognize that, although at a population level, the contribution of VKORC1 toward dose requirements is higher in whites than in nonwhites; genotype predicts similar dose requirements across racial groups.
Pharmacogenomics | 2006
Ana Alfirevic; Andrea Jorgensen; Paula Williamson; David Chadwick; B. Kevin Park; Munir Pirmohamed
BACKGROUND A strong pharmacogenetic association has been reported in Chinese patients between human leukocyte antigen (HLA)-B*1502 and carbamazepine (CBZ)-induced Stevens-Johnson syndrome (SJS). METHODS We have genotyped the HLA-B alleles in 56 Caucasian patients with varying severities of CBZ hypersensitivity and 43 controls on CBZ without adverse effects. RESULTS None of our patients (including two with blistering skin rashes) were positive for the HLA-B*1502 allele. HLA-B*0702 allele may protect against severe CBZ hypersensitivity but warrants further study. Of secondary interest, the correlation between HLA-B*0801 and HLA-DR3, DQ2 and TNF -308 alleles (on the ancestral haplotype 8.1) is consistent with our previous findings. CONCLUSION HLA-B*1502 does not seem to be a marker for all forms of CBZ-induced hypersensitivity in a Caucasian population.
Clinical Pharmacology & Therapeutics | 2010
Petra Lenzini; Mia Wadelius; Stephen E. Kimmel; Jeffrey L. Anderson; Andrea Jorgensen; Munir Pirmohamed; Michael D. Caldwell; Nita A. Limdi; James K. Burmester; Mary Beth Dowd; P. Angchaisuksiri; Anne R. Bass; Jinbo Chen; Niclas Eriksson; Anders Rane; Jonatan D. Lindh; John F. Carlquist; Benjamin D. Horne; Gloria R. Grice; Paul E. Milligan; Charles S. Eby; J.-G. Shin; Ho-Sook Kim; Daniel Kurnik; C.M. Stein; Gwendolyn A. McMillin; Robert C. Pendleton; Richard L. Berg; Panos Deloukas; Brian F. Gage
Well‐characterized genes that affect warfarin metabolism (cytochrome P450 (CYP) 2C9) and sensitivity (vitamin K epoxide reductase complex 1 (VKORC1)) explain one‐third of the variability in therapeutic dose before the international normalized ratio (INR) is measured. To determine genotypic relevance after INR becomes available, we derived clinical and pharmacogenetic refinement algorithms on the basis of INR values (on day 4 or 5 of therapy), clinical factors, and genotype. After adjusting for INR, CYP2C9 and VKORC1 genotypes remained significant predictors (P < 0.001) of warfarin dose. The clinical algorithm had an R2 of 48% (median absolute error (MAE): 7.0 mg/week) and the pharmacogenetic algorithm had an R2 of 63% (MAE: 5.5 mg/week) in the derivation set (N = 969). In independent validation sets, the R2 was 26–43% with the clinical algorithm and 42–58% when genotype was added (P = 0.002). After several days of therapy, a pharmacogenetic algorithm estimates the therapeutic warfarin dose more accurately than one using clinical factors and INR response alone.
PLOS ONE | 2012
Andrea Jorgensen; Richard J. FitzGerald; J Oyee; Munir Pirmohamed; Paula Williamson
Background Warfarin is a highly effective anticoagulant however its effectiveness relies on maintaining INR in therapeutic range. Finding the correct dose is difficult due to large inter-individual variability. Two genes, CYP2C9 and VKORC1, have been associated with this variability, leading to genotype-guided dosing tables in warfarin labeling. Nonetheless, it remains unclear how genotypic information should be used in practice. Navigating the literature to determine how genotype will influence warfarin response in a particular patient is difficult, due to significant variation in patient ethnicity, outcomes investigated, study design, and methodological rigor. Our systematic review was conducted to enable fair and accurate interpretation of which variants affect which outcomes, in which patients, and to what extent. Methodology/Principal Findings A comprehensive search strategy was applied and 117 studies included. Primary outcomes were stable dose, time to stable dose and bleeding events. Methodological quality was assessed using criteria of Jorgensen and Williamson and data synthesized in meta-analyses using advanced methods. Pooled effect estimates were significant in most ethnic groups for CYP2C9*3 and stable dose (mutant types requiring between 1.1(0.7–1.5) and 2.3 (1.6–3.0)mg/day). Effect estimates were also significant for VKORC1 and stable dose for most ethnicities, although direction differed between asians and non-asians (mutant types requiring between 0.8(0.4–1.3) and 1.5(1.1–1.8)mg/day more in asians and between 1.5(0.7–2.2) and 3.1(2.7–3.6)mg/day less in non-asians). Several studies were excluded due to inadequate data reporting. Assessing study quality highlighted significant variability in methodological rigor. Notably, there was significant evidence of selective reporting, of outcomes and analysis approaches. Conclusions/Significance Genetic associations with warfarin response vary between ethnicities. In order to achieve unbiased estimates in different populations, a high level of methodological rigor must be maintained and studies should report sufficient data to enable inclusion in meta-analyses. We propose minimum reporting requirements, suggest methodological guidelines and provide recommendations for reducing the risk of selective reporting.
Clinical Pharmacology & Therapeutics | 2012
Vincent Yip; Anthony G Marson; Andrea Jorgensen; Munir Pirmohamed; Ana Alfirevic
Carbamazepine (CBZ) therapy is associated with cutaneous adverse reactions in up to 10% of patients. Predisposition to these hypersensitivity reactions has been linked to the human leukocyte antigen (HLA) genotype. This systematic review determines the strength of these associations and accuracy of proposed genetic screening. We determined that carriage of HLA‐B*1502 in Asian patients was associated with a pooled odds ratio (OR) of 113.4 (95% confidence interval (CI) = 51.2–251.0, P < 1 × 10−5) for CBZ‐induced Stevens–Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). A total of 461 patients would need to be screened for HLA‐B*1502 to prevent one episode of SJS/TEN. HLA‐A*3101 is significantly associated with all phenotypes of CBZ hypersensitivity in multiple ethnicities with a pooled OR of 9.5 (95% CI = 6.4–13.9, P < 1 × 10−5). Between 47 and 67 patients would need to be tested for HLA‐A*3101 to prevent one episode of hypersensitivity. Our findings suggest that HLA testing before carbamazepine therapy would be effective at identifying individuals at risk of hypersensitivity and applicable to multiple populations providing hope for prevention in the future.
Clinical Pharmacology & Therapeutics | 2013
Daniel F. Carr; Helen O'Meara; Andrea Jorgensen; M Hobbs; Gerard McCann; T P van Staa; Munir Pirmohamed
This study aimed to determine whether patients with statin‐induced myopathy could be identified using the United Kingdom Clinical Practice Research Datalink, whether DNA could be obtained, and whether previously reported associations of statin myopathy with the SLCO1B1 c.521T>C and COQ2 rs4693075 polymorphisms could be replicated. Seventy‐seven statin‐induced myopathy patients (serum creatine phosphokinase (CPK) > 4× upper limit of normal (ULN)) and 372 statin‐tolerant controls were identified and recruited. Multiple logistic regression analysis showed the SLCO1B1 c.521T>C single‐nucleotide polymorphism to be a significant risk factor (P = 0.009), with an odds ratio (OR) per variant allele of 2.06 (1.32–3.15) for all myopathy and 4.09 (2.06–8.16) for severe myopathy (CPK > 10× ULN, and/or rhabdomyolysis; n = 23). COQ2 rs4693075 was not associated with myopathy. Meta‐analysis showed an association between c.521C>T and simvastatin‐induced myopathy, although power for other statins was limited. Our data replicate the association of SLCO1B1 variants with statin‐induced myopathy. Furthermore, we demonstrate how electronic medical records provide a time‐ and cost‐efficient means of recruiting patients with severe adverse drug reactions for pharmacogenetic studies.
Pharmacogenomics Journal | 2011
Nigel Fleeman; Yenal Dundar; Rumona Dickson; Andrea Jorgensen; Sudeep Pushpakom; C McLeod; Munir Pirmohamed; Tom Walley
There is wide variability in the response of individuals to standard doses of antipsychotic drugs. It has been suggested that this may be partly explained by differences in the cytochrome P450 (CYP450) enzyme system responsible for metabolizing the drugs. We conducted a systematic review and meta-analyses to consider whether testing for CYP450 single nucleotide polymorphisms in adults starting antipsychotic treatment for schizophrenia predicts and leads to improvements in clinical outcomes. High analytic validity in terms of sensitivity and specificity was seen in studies reporting P450 testing. However, there was limited evidence of the role of CYP2D6 polymorphisms in antipsychotic efficacy, although there was an association between CYP2D6 genotype and extrapyramidal adverse effects. No studies reported on the prospective use of CYP2D6 genotyping tests in clinical practice. In conclusion, evidence of clinical validity and utility of CYP2D6 testing in patients being prescribed antipsychotics is lacking, and thus, routine pharmacogenetic testing prior to antipsychotic prescription cannot be supported at present. Further research is required to improve the evidence base and to generate data on clinical validity and clinical utility.
Lancet Neurology | 2006
Guy Leschziner; Andrea Jorgensen; Munir Pirmohamed; Paula Williamson; Anthony G Marson; Alison J. Coffey; Claire Middleditch; Jane Rogers; David R. Bentley; David Chadwick; David J. Balding; Michael R. Johnson; Toby Andrew
BACKGROUND The ABCB1 3435C-->T single-nucleotide polymorphism (SNP) or a three-SNP haplotype containing 3435C-->T has been implicated in multidrug resistance in epilepsy in three retrospective case-control studies, but a further three have failed to replicate the association. We aimed to determine the effect of the ABCB1 gene on epilepsy drug response, using a unique large cohort of epilepsy patients with prospectively measured seizure and drug response outcomes. METHODS The ABCB1 3435C-->T polymorphism and three-SNP haplotype, plus a comprehensive set of tag SNPs across ABCB1 and adjacent ABCB4, were genotyped in a cohort of 503 epilepsy patients with prospectively measured seizure and drug response outcomes. Clinical, demographic, and genetic data were analysed. Treatment outcome was measured in terms of time to 12-month remission, time to first seizure, and time to drug withdrawal due to inadequate seizure control or side-effects. Randomly selected genome-wide HapMap SNPs (n=129) were genotyped in all patients for genomic control. FINDINGS Number of seizures before treatment was the dominant feature predicting seizure outcome after starting antiepileptic drug therapy, measured by both time to first seizure (hazard ratio 1.34, 95% CI 1.21-1.49, p<0.0001) and time to 12-month remission (0.83, 0.73-0.94, p=0.003). There was no association of the ABCB1 3435C-->T polymorphism, the three-SNP haplotype, or any gene-wide tag SNP with time to first seizure after starting drug therapy, time to 12-month remission, or time to drug withdrawal due to unacceptable side-effects or to lack of seizure control. INTERPRETATION We found no evidence that ABCB1 common variation influences either seizure or drug withdrawal outcomes after initiation of antiepileptic drug therapy.
Clinical Pharmacology & Therapeutics | 2011
Peter Avery; Andrea Jorgensen; Anna-Karin Hamberg; Mia Wadelius; Munir Pirmohamed; Farhad Kamali
A significant proportion of the interindividual variability in warfarin dose requirements can be explained on the basis of CYP2C9 and VKORC1 genotypes. We report the development of a novel pharmacogenetics–based 3–day warfarin initiation dose (ID) algorithm based on the International Warfarin Pharmacogenetics Consortium (IWPC) maintenance dose algorithm and the CYP2C9 genotype–based variance in warfarin half–life. The predictive value of the pharmacogenetics–based ID was assessed in a large cohort of 671 newly diagnosed patients with thromboembolic disorders who were about to commence anticoagulation therapy in accordance with standard induction regimens. In patients with mean international normalized ratio (INR)days 4–7 >4.0 (n = 63) after warfarin initiation, the pharmacogenetics–based ID algorithm predicted a markedly lower dose requirement (median reduction = 4.2 mg), whereas in those with mean INRdays 4–7 <2.0 (n = 145), the predicted dose requirement was very similar to that in the standard regimen. The use of a pharmacogenetics–based ID may avoid overshooting of INR in warfarin–sensitive patients without unduly affecting the time taken to reach target range in the majority of patients.