| 1. |
- Gottlieb, Assaf, et al.
(författare)
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Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans
- 2017
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Ingår i: Genome Medicine. - : Springer Science and Business Media LLC. - 1756-994X. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Genome-wide association studies are useful for discovering genotype-phenotype associations but are limited because they require large cohorts to identify a signal, which can be population-specific. Mapping genetic variation to genes improves power and allows the effects of both protein-coding variation as well as variation in expression to be combined into "gene level" effects. Methods: Previous work has shown that warfarin dose can be predicted using information from genetic variation that affects protein-coding regions. Here, we introduce a method that improves dose prediction by integrating tissue-specific gene expression. In particular, we use drug pathways and expression quantitative trait loci knowledge to impute gene expression-on the assumption that differential expression of key pathway genes may impact dose requirement. We focus on 116 genes from the pharmacokinetic and pharmacodynamic pathways of warfarin within training and validation sets comprising both European and African-descent individuals. Results: We build gene-tissue signatures associated with warfarin dose in a cohort-specific manner and identify a signature of 11 gene-tissue pairs that significantly augments the International Warfarin Pharmacogenetics Consortium dosage-prediction algorithm in both populations. Conclusions: Our results demonstrate that imputed expression can improve dose prediction and bridge population-specific compositions. MATLAB code is available at https://github.com/assafgo/warfarin-cohort.
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| 2. |
- Brinkmalm, Gunnar, et al.
(författare)
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Soluble amyloid precursor protein α and β in CSF in Alzheimer's disease.
- 2013
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Ingår i: Brain research. - : Elsevier BV. - 1872-6240 .- 0006-8993. ; 1513, s. 117-26
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Tidskriftsartikel (refereegranskat)abstract
- Cerebral accumulation of amyloid β (Aβ) is a pathological hallmark of Alzheimer's disease (AD). Proteolytic processing of amyloid precursor protein (APP) by α- or β-secretase results in two soluble metabolites, sAPPα and sAPPβ, respectively. However, previous data have shown that both α- and β-secretase have multiple cleavage sites. The aim of this study was to characterize the C-termini of sAPPα and sAPPβ in cerebrospinal fluid (CSF) by mass spectrometry (MS) and to evaluate whether different combinations of these fragments better separate between AD patients and controls by comparing two different sAPP immunoassays. Methods: Using immunoprecipitation and high resolution MS, the APP species present in CSF were investigated. CSF levels of sAPPα and sAPPβ from patients with AD (n=43) and from non-demented controls (n=44) were measured using AlphaLISA and MSD immunoassays that employ different antibodies for C-terminal recognition of sAPPα. Results: Four different C-terminal forms of sAPP were identified, sAPPβ-M671, sAPPβ-Y681, sAPPα-Q686, and sAPPα-K687 (APP770 numbering). Neither immunoassay for the sAPP species could separate the two patient groups. The correlation (R(2)) between the two immunoassays was 0.41 for sAPPα and 0.45 for sAPPβ. Conclusion: Using high resolution MS, we show here for the first time that sAPPα in CSF ends at Q686 and K687. The findings also support the conclusion from several previous studies that sAPPα and sAPPβ levels are unaltered in AD.
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| 3. |
- Brinkmalm, Gunnar, et al.
(författare)
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Soluble amyloid precursor protein alpha and beta in CSF in Alzheimer's disease
- 2013
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Ingår i: Brain Research. - : Elsevier BV. - 1872-6240 .- 0006-8993. ; 1513, s. 117-126
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Cerebral accumulation of amyloid beta (A beta) is a pathological hallmark of Alzheimer's disease (AD). Proteolytic processing of amyloid precursor protein (APP) by alpha- or beta-secretase results in two soluble metabolites, sAPP alpha and sAPP beta, respectively. However, previous data have shown that both alpha- and beta-secretase have multiple cleavage sites. The aim of this study was to characterize the C-termini of sAPP alpha and sAPP beta in cerebrospinal fluid (CSF) by mass spectrometry (MS) and to evaluate whether different combinations of these fragments better separate between AD patients and controls by comparing two different sAPP immunoassays. Methods: Using immunoprecipitation and high resolution MS, the APP species present in CSF were investigated. CSF levels of sAPP alpha and sAPP beta from patients with AD (n=43) and from non-demented controls (n=44) were measured using AlphaLISA and MSD immunoassays that employ different antibodies for C-terminal recognition of sAPP alpha. Results: Four different C-terminal forms of sAPP were identified, sAPP beta-M671, sAPP beta-Y681, sAPP alpha-Q686, and 5APP alpha-K687 (APP770 numbering). Neither immunoassay for the sAPP species could separate the two patient groups. The correlation (R-2) between the two immunoassays was 0.41 for sAPP alpha and 0.45 for sAPP beta. Conclusion: Using high resolution MS, we show here for the first time that sAPP alpha in CSF ends at Q686 and K687. The findings also support the conclusion from several previous studies that sAPP alpha and sAPP beta levels are unaltered in AD. (C) 2013 Elsevier B.V. All rights reserved.
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| 4. |
- Nutu, Magdalena, 1967, et al.
(författare)
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Aβ1-15/16 as a potential diagnostic marker in neurodegenerative diseases.
- 2013
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Ingår i: Neuromolecular medicine. - : Springer Science and Business Media LLC. - 1559-1174 .- 1535-1084. ; 15:1, s. 169-79
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Tidskriftsartikel (refereegranskat)abstract
- Cerebrospinal fluid (CSF) biomarkers for Alzheimer's disease (AD) reflect brain biochemistry. Using combined immunoprecipitation and mass spectrometry, we have shown that amyloid beta 1-15 (Aβ1-15) is produced by concerted β- and α-secretase cleavage of amyloid precursor protein (APP) and that the relative levels of Aβ1-16 in AD compared to controls are increased. Furthermore, drug-induced γ-secretase inhibition enhances the relative levels of Aβ1-15 and Aβ1-16. Here, we investigate a novel immunoassay for Aβ1-15/16 in a broad range of neurodegenerative conditions. The CSF level of Aβ1-15/16 was measured by the bead-based amplified luminescent proximity homogeneous assay (Alpha technology). Concentrations of Aβ1-15/16 were analyzed in subjects with Parkinson disease (PD; n = 90), PD with dementia (PDD) (n = 32), dementia with Lewy bodies (DLB) (n = 68), AD (n = 48), progressive supranuclear palsy (PSP) (n = 45), multiple system atrophy (MSA) (n = 46), and corticobasal degeneration (CBD) (n = 12). The detecting antibody is specific to the C-terminal epitope of Aβ15. We found that a carboxypeptidase (CPB) present in fetal bovine serum (FBS), a component of the buffers used, degrades Aβ1-16 to Aβ1-15, which is then detected by the Aβ1-15/16 assay. Significantly, lower levels of Aβ1-15/16 were detected in PD, PDD, PSP, and MSA compared to other neurodegenerative diseases and controls. Using the specific Aβ1-15/16 assay, a reliable quantification of Aβ1-15 or Aβ1-15/16 in CSF samples is obtained. We found reduced levels of Aβ1-15 in parkinsonian disease groups. The molecular mechanism behind this reduction is at present unknown.
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| 5. |
- Parra, Esteban J., et al.
(författare)
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Genome-wide association study of warfarin maintenance dose in a Brazilian sample
- 2015
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Ingår i: Pharmacogenomics (London). - : Future Medicine Ltd. - 1462-2416 .- 1744-8042. ; 16:11, s. 1253-1263
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Tidskriftsartikel (refereegranskat)abstract
- Aim: Extreme discordant phenotype and genome-wide association (GWA) approaches were combined to explore the role of genetic variants on warfarin dose requirement in Brazilians. Methods: Patients receiving low (<= 20 mg/week; n = 180) or high stable warfarin doses (>= 42.5 mg/week; n = 187) were genotyped with Affymetrix Axiom (R) Biobank arrays. Imputation was carried out using data from the combined 1000 Genomes project. Results: Genome-wide signals (p <= 5 x 10(-8)) were identified in the well-known VKORC1 (lead SNP, rs749671; OR: 20.4; p = 1.08 x 10(-33)) and CYP2C9 (lead SNP, rs9332238, OR: 6.8 and p = 4.4 x 10(-13)) regions. The rs9332238 polymorphism is in virtually perfect LD with CYP2C9*2 (rs1799853) and CYP2C9*3 (rs1057910). No other genome-wide significant regions were identified in the study. Conclusion: We confirmed the important role of VKORC1 and CYP2C9 polymorphisms in warfarin dose.
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| 6. |
- Takeuchi, Fumihiko, et al.
(författare)
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A genome-wide association study confirms VKORC1, CYP2C9, and CYP4F2 as principal genetic determinants of warfarin dose
- 2009
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Ingår i: PLoS genetics. - : Public Library of Science (PLoS). - 1553-7390 .- 1553-7404. ; 5:3
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Tidskriftsartikel (refereegranskat)abstract
- We report the first genome-wide association study (GWAS) whose sample size (1,053 Swedish subjects) is sufficiently powered to detect genome-wide significance (p<1.5×10−7) for polymorphisms that modestly alter therapeutic warfarin dose. The anticoagulant drug warfarin is widely prescribed for reducing the risk of stroke, thrombosis, pulmonary embolism, and coronary malfunction. However, Caucasians vary widely (20-fold) in the dose needed for therapeutic anticoagulation, and hence prescribed doses may be too low (risking serious illness) or too high (risking severe bleeding). Prior work established that ~30% of the dose variance is explained by single nucleotide polymorphisms (SNPs) in the warfarin drug target VKORC1 and another ~12% by two non-synonymous SNPs (*2, *3) in the cytochrome P450 warfarin-metabolizing gene CYP2C9. We initially tested each of 325,997 GWAS SNPs for association with warfarin dose by univariate regression and found the strongest statistical signals (p<10−78) at SNPs clustering near VKORC1 and the second lowest p-values (p<10−31) emanating from CYP2C9. No other SNPs approached genome-wide significance. To enhance detection of weaker effects, we conducted multiple regression adjusting for known influences on warfarin dose (VKORC1, CYP2C9, age, gender) and identified a single SNP (rs2108622) with genome-wide significance (p = 8.3×10−10) that alters protein coding of the CYP4F2 gene. We confirmed this result in 588 additional Swedish patients (p<0.0029) and, during our investigation, a second group provided independent confirmation from a scan of warfarin-metabolizing genes. We also thoroughly investigated copy number variations, haplotypes, and imputed SNPs, but found no additional highly significant warfarin associations. We present power analysis of our GWAS that is generalizable to other studies, and conclude we had 80% power to detect genome-wide significance for common causative variants or markers explaining at least 1.5% of dose variance. These GWAS results provide further impetus for conducting large-scale trials assessing patient benefit from genotype-based forecasting of warfarin dose.Author SummaryRecently, geneticists have begun assaying hundreds of thousands of genetic markers covering the entire human genome to systematically search for and identify genes that cause disease. We have extended this “genome-wide association study” (GWAS) method by assaying ~326,000 markers in 1,053 Swedish patients in order to identify genes that alter response to the anticoagulant drug warfarin. Warfarin is widely prescribed to reduce blood clotting in order to protect high-risk patients from stroke, thrombosis, and heart attack. But patients vary widely (20-fold) in the warfarin dose needed for proper blood thinning, which means that initial doses in some patients are too high (risking severe bleeding) or too low (risking serious illness). Our GWAS detected two genes (VKORC1, CYP2C9) already known to cause ~40% of the variability in warfarin dose and discovered a new gene (CYP4F2) contributing 1%–2% of the variability. Since our GWAS searched the entire genome, additional genes having a major influence on warfarin dose might not exist or be found in the near-term. Hence, clinical trials assessing patient benefit from individualized dose forecasting based on a patient's genetic makeup at VKORC1, CYP2C9 and possibly CYP4F2 could provide state-of-the-art clinical benchmarks for warfarin use during the foreseeable future.
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