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  • 1
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 90, No. 4 ( 2018-01-23), p. e332-e341
    Abstract: To characterize, among European and Han Chinese populations, the genetic predictors of maculopapular exanthema (MPE), a cutaneous adverse drug reaction common to antiepileptic drugs. Methods We conducted a case-control genome-wide association study of autosomal genotypes, including Class I and II human leukocyte antigen (HLA) alleles, in 323 cases and 1,321 drug-tolerant controls from epilepsy cohorts of northern European and Han Chinese descent. Results from each cohort were meta-analyzed. Results We report an association between a rare variant in the complement factor H–related 4 ( CFHR4 ) gene and phenytoin-induced MPE in Europeans ( p = 4.5 × 10 –11 ; odds ratio [95% confidence interval] 7 [3.2–16] ). This variant is in complete linkage disequilibrium with a missense variant (N1050Y) in the complement factor H ( CFH ) gene. In addition, our results reinforce the association between HLA-A*31:01 and carbamazepine hypersensitivity. We did not identify significant genetic associations with MPE among Han Chinese patients. Conclusions The identification of genetic predictors of MPE in CFHR4 and CFH, members of the complement factor H–related protein family, suggest a new link between regulation of the complement system alternative pathway and phenytoin-induced hypersensitivity in European-ancestral patients.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2018
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  • 2
    In: Clinical Pharmacology & Therapeutics, Wiley, Vol. 107, No. 6 ( 2020-06), p. 1420-1433
    Abstract: Warfarin is the most commonly used oral anticoagulant in sub‐Saharan Africa. Dosing is challenging due to a narrow therapeutic index and high interindividual variability in dose requirements. To evaluate the genetic factors affecting warfarin dosing in black‐Africans, we performed a meta‐analysis of 48 studies (2,336 patients). Significant predictors for CYP2C9 and stable dose included rs1799853 ( CYP2C9*2 ), rs1057910 ( CYP2C9*3 ), rs28371686 ( CYP2C9*5 ), rs9332131 ( CYP2C9*6 ), and rs28371685 ( CYP2C9*11 ) reducing dose by 6.8, 12.5, 13.4, 8.1, and 5.3 mg/week, respectively. VKORC1 variants rs9923231 ( ‐1639G 〉 A ), rs9934438 ( 1173C 〉 T ), rs2359612 ( 2255C 〉 T ), rs8050894 ( 1542G 〉 C ), and rs2884737 ( 497T 〉 G ) decreased dose by 18.1, 21.6, 17.3, 11.7, and 19.6 mg/week, respectively, whereas rs7294 ( 3730G 〉 A ) increased dose by 6.9 mg/week. Finally, rs12777823 ( CYP2C gene cluster) was associated with a dose reduction of 12.7 mg/week. Few studies were conducted in Africa, and patient numbers were small, highlighting the need for further work in black‐Africans to evaluate genetic factors determining warfarin response.
    Type of Medium: Online Resource
    ISSN: 0009-9236 , 1532-6535
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2040184-X
    SSG: 15,3
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  • 3
    In: Translational Psychiatry, Springer Science and Business Media LLC, Vol. 10, No. 1 ( 2020-01-27)
    Abstract: Clozapine is the most effective antipsychotic drug for schizophrenia, yet it can cause life-threatening adverse drug reactions, including myocarditis. The aim of this study was to determine whether schizophrenia patients with clozapine-induced myocarditis have a genetic predisposition compared with clozapine-tolerant controls. We measured different types of genetic variation, including genome-wide single-nucleotide polymorphisms (SNPs), coding variants that alter protein expression, and variable forms of human leucocyte antigen (HLA) genes, alongside traditional clinical risk factors in 42 cases and 67 controls. We calculated a polygenic risk score (PRS) based on variation at 96 different genetic sites, to estimate the genetic liability to clozapine-induced myocarditis. Our genome-wide association analysis identified four SNPs suggestive of increased myocarditis risk ( P   〈  1 × 10 −6 ), with odds ratios ranging 5.5–13.7. The SNP with the lowest P value was rs74675399 (chr19p13.3, P  = 1.21 × 10 −7 ; OR = 6.36), located in the GNA15 gene, previously associated with heart failure. The HLA-C*07:01 allele was identified as potentially predisposing to clozapine-induced myocarditis (OR = 2.89, 95% CI: 1.11–7.53), consistent with a previous report of association of the same allele with clozapine-induced agranulocytosis. Another seven HLA alleles, including HLA-B*07:02 (OR = 0.25, 95% CI: 0.05–1.2) were found to be putatively protective. Long-read DNA sequencing provided increased resolution of HLA typing and validated the HLA associations. The PRS explained 66% of liability ( P value = 9.7 × 10 −5 ). Combining clinical and genetic factors together increased the proportion of variability accounted for ( r 2 0.73, P  = 9.8 × 10 −9 ). However, due to the limited sample size, individual genetic associations were not statistically significant after correction for multiple testing. We report novel candidate genetic associations with clozapine-induced myocarditis, which may have potential clinical utility, but larger cohorts are required for replication.
    Type of Medium: Online Resource
    ISSN: 2158-3188
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2609311-X
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  • 4
    In: The Lancet Respiratory Medicine, Elsevier BV, Vol. 6, No. 6 ( 2018-06), p. 442-450
    Type of Medium: Online Resource
    ISSN: 2213-2600
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 5
    In: CPT: Pharmacometrics & Systems Pharmacology, Wiley, Vol. 11, No. 1 ( 2022-01), p. 20-29
    Abstract: Warfarin remains the most widely prescribed oral anticoagulant in sub‐Saharan Africa. However, because of its narrow therapeutic index, dosing can be challenging. We have therefore (a) evaluated and compared the performance of 21 machine‐learning techniques in predicting stable warfarin dose in sub‐Saharan Black‐African patients and (b) externally validated a previously developed Warfarin Anticoagulation in Patients in Sub‐Saharan Africa (War‐PATH) clinical dose–initiation algorithm. The development cohort included 364 patients recruited from eight outpatient clinics and hospital departments in Uganda and South Africa (June 2018–July 2019). Validation was conducted using an external validation cohort (270 patients recruited from August 2019 to March 2020 in 12 outpatient clinics and hospital departments). Based on the mean absolute error (MAE; mean of absolute differences between the actual and predicted doses), random forest regression (12.07 mg/week; 95% confidence interval [CI] , 10.39–13.76) was the best performing machine‐learning technique in the external validation cohort, whereas the worst performing technique was model trees (17.59 mg/week; 95% CI, 15.75–19.43). By comparison, the simple, commonly used regression technique (ordinary least squares) performed similarly to more complex supervised machine‐learning techniques and achieved an MAE of 13.01 mg/week (95% CI, 11.45–14.58). In summary, we have demonstrated that simpler regression techniques perform similarly to more complex supervised machine‐learning techniques. We have also externally validated our previously developed clinical dose–initiation algorithm, which is being prospectively tested for clinical utility.
    Type of Medium: Online Resource
    ISSN: 2163-8306 , 2163-8306
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2697010-7
    SSG: 15,3
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  • 6
    In: Clinical Pharmacology & Therapeutics, Wiley, Vol. 109, No. 6 ( 2021-06), p. 1564-1574
    Abstract: Warfarin remains the oral anticoagulant of choice in sub‐Saharan Africa. However, dosing is challenging due to a highly variable clinical response for a given dose. This study aimed to develop and validate a clinical warfarin dose‐initiation model in sub‐Saharan Black‐African patients. For the development cohort, we used data from 364 patients who were recruited from 8 outpatient clinics and hospital departments in Uganda and South Africa (June 2018–July 2019). Validation was undertaken using the International Warfarin Pharmacogenetics Consortium (IWPC) dataset (690 black patients). Four predictors (age, weight, target International Normalized Ratio range, and HIV status) were included in the final model, which achieved mean absolute errors (MAEs; mean of absolute differences between true dose and dose predicted by the model) of 11.6 (95% confidence interval (CI) 10.4–12.8) and 12.5 (95% CI 11.6–13.4) mg/week in the development and validation cohorts, respectively. Two other clinical models, IWPC and Gage, respectively, obtained MAEs of 12.5 (95% CI 11.3–13.7) and 12.7 (95% CI 11.5–13.8) mg/week in the development cohort, and 12.1 (95% CI 11.2–13.0) and 12.2 (95% CI 11.4–13.1) mg/week in the validation cohort. Compared with fixed dose‐initiation, our model decreased the percentage of patients at high risk of suboptimal anticoagulation by 7.5% (1.5–13.7%) and 11.9% (7.1–16.8%) in the development and validation cohorts, respectively. The clinical utility of this model will be tested in a prospective study. Study Highlights WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC? ☑ Warfarin dosing remains challenging due to a highly variable clinical response for a given dose. WHAT QUESTION DID THIS STUDY ADDRESS? ☑ Can a clinical dose‐initiation model be developed and validated for sub‐Saharan Black‐African patients? WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE? ☑ We have developed the first warfarin dose‐initiation clinical model for Black‐African patients in Uganda and South Africa. HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE? ☑ We will be implementing and validating this model in a prospective cohort to inform future large‐scale implementation. More optimized dosing should improve the quality of warfarin anticoagulation in these two developing countries.
    Type of Medium: Online Resource
    ISSN: 0009-9236 , 1532-6535
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2040184-X
    SSG: 15,3
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  • 7
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-9-23)
    Abstract: Diversity in pharmacogenomic studies is poor, especially in relation to the inclusion of black African patients. Lack of funding and difficulties in recruitment, together with the requirement for large sample sizes because of the extensive genetic diversity in Africa, are amongst the factors which have hampered pharmacogenomic studies in Africa. Warfarin is widely used in sub-Saharan Africa, but as in other populations, dosing is highly variable due to genetic and non-genetic factors. In order to identify genetic factors determining warfarin response variability, we have conducted a genome-wide association study (GWAS) of plasma concentrations of warfarin enantiomers/metabolites in sub-Saharan black-Africans. This overcomes the issue of non-adherence and may have greater sensitivity at genome-wide level, to identify pharmacokinetic gene variants than focusing on mean weekly dose, the usual end-point used in previous studies. Participants recruited at 12 outpatient sites in Uganda and South Africa on stable warfarin dose were genotyped using the Illumina Infinium H3Africa Consortium Array v2. Imputation was conducted using the 1,000 Genomes Project phase III reference panel. Warfarin/metabolite plasma concentrations were determined by high-performance liquid chromatography with tandem mass spectrometry. Multivariable linear regression was undertaken, with adjustment made for five non-genetic covariates and ten principal components of genetic ancestry. After quality control procedures, 548 participants and 17,268,054 SNPs were retained. CYP2C9*8 , CYP2C9*9 , CYP2C9*11 , and the CYP2C cluster SNP rs12777823 passed the Bonferroni-adjusted replication significance threshold ( p & lt; 3.21E-04) for warfarin/metabolite ratios. In an exploratory GWAS analysis, 373 unique SNPs in 13 genes, including CYP2C9*8 , passed the Bonferroni-adjusted genome-wide significance threshold ( p & lt; 3.846E-9), with 325 (87%, all located on chromosome 10) SNPs being associated with the S-warfarin/R-warfarin outcome (top SNP rs11188082, CYP2C19 intron variant, p = 1.55E-17). Approximately 69% of these SNPs were in linkage disequilibrium ( r 2 & gt; 0.8) with CYP2C9*8 ( n = 216) and rs12777823 ( n = 8). Using a pharmacokinetic approach, we have shown that variants other than CYP2C9*2 and CYP2C9 *3 are more important in sub-Saharan black-Africans, mainly due to the allele frequencies. In exploratory work, we conducted the first warfarin pharmacokinetics-related GWAS in sub-Saharan Africans and identified novel SNPs that will require external replication and functional characterization before they can be considered for inclusion in warfarin dosing algorithms.
    Type of Medium: Online Resource
    ISSN: 1663-9812
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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  • 8
    In: Functional Ecology, Wiley, Vol. 36, No. 4 ( 2022-04), p. 837-849
    Abstract: 在依靠视觉捕食的捕食者所施加的强大选择压力下,很多动物演化出了诸多基于颜色的防御对策,比如隐蔽色、伪装、拟态和警戒色等。过去通常认为,很多动物依赖于一种一成不变的、单一类型的防御对策,但越来越多的证据显示有些物种会采用多种基于颜色的防御对策。例如,很多动物在其个体发育过程中,会在不同防御对策之间进行转换。但是,动物在个体发育过程中转换不同防御对策的原因仍然不清楚。 锡兰瘤蟹蛛的鸟粪伪装常被演化生物学家作为经典案例引用,因为它们从外观上会被捕食者误认为是鸟粪,进而躲避捕食者的攻击。同时,雌性锡兰瘤蟹蛛在其个体发育过程中也会发生体色的转换,即基于颜色防御的转变:低龄幼蛛体色多为较暗的隐蔽色,而从四龄幼蛛开始到成熟雌蛛,其体色均为与鸟粪极为相似的伪装色。因此,我们推测这两种不同的防御策略可能是随着个体发育,体型增大,被捕食的压力增加而产生的变化。 为了验证这个假设,本研究以小鸡作为捕食者,以用3D打印技术打印出的不同体型(小和大)、不同体色(暗色和鸟粪色)的蜘蛛模型为猎物,进行了一系列的小鸡捕食实验,以探究体型大的鸟粪色蜘蛛模型是否会比体型小的暗色蜘蛛模型更易被小鸡发现,且更易受到攻击。实验结果显示,小鸡很难发现体型小、暗色的蜘蛛模型,但对于体型大的蜘蛛模型来说,暗色个体比鸟粪色个体遭到小鸡更快、更多地攻击。 实验证明锡兰瘤蟹蛛随着个体发育,其体型不断增大,鸟粪色比隐蔽色能更有效地起到保护作用。因此,本研究证明锡兰瘤蟹蛛在发育过程中随着体型的增大,从隐蔽色到伪装色的防御对策转换是一种适应性转变。 A free Plain Language Summary can be found within the Supporting Information of this article.
    Type of Medium: Online Resource
    ISSN: 0269-8463 , 1365-2435
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2020307-X
    detail.hit.zdb_id: 619313-4
    SSG: 12
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  • 9
    In: Genome Medicine, Springer Science and Business Media LLC, Vol. 8, No. 1 ( 2016-12)
    Type of Medium: Online Resource
    ISSN: 1756-994X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2484394-5
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2021
    In:  British Journal of Clinical Pharmacology Vol. 87, No. 4 ( 2021-04), p. 1717-1729
    In: British Journal of Clinical Pharmacology, Wiley, Vol. 87, No. 4 ( 2021-04), p. 1717-1729
    Abstract: Numerous algorithms have been developed to guide warfarin dosing and improve clinical outcomes. We reviewed the algorithms available for various populations and the covariates, performances and risk of bias of these algorithms. Methods We systematically searched MEDLINE up to 20 May 2020 and selected studies describing the development, external validation or clinical utility of a multivariable warfarin dosing algorithm. Two investigators conducted data extraction and quality assessment. Results Of 10 035 screened records, 266 articles were included in the review, describing the development of 433 dosing algorithms, 481 external validations and 52 clinical utility assessments. Most developed algorithms were for dose initiation (86%), developed by multiple linear regression (65%) and mostly applicable to Asians (49%) or Whites (43%). The most common demographic/clinical/environmental covariates were age (included in 401 algorithms), concomitant medications (270 algorithms) and weight (229 algorithms) while CYP2C9 (329 algorithms), VKORC1 (319 algorithms) and CYP4F2 (92 algorithms) variants were the most common genetic covariates. Only 26% and 7% algorithms were externally validated and evaluated for clinical utility, respectively, with 〈 2% of algorithm developments and external validations being rated as having a low risk of bias. Conclusion Most warfarin dosing algorithms have been developed in Asians and Whites and may not be applicable to under‐served populations. Few algorithms have been externally validated, assessed for clinical utility, and/or have a low risk of bias which makes them unreliable for clinical use. Algorithm development and assessment should follow current methodological recommendations to improve reliability and applicability, and under‐represented populations should be prioritized.
    Type of Medium: Online Resource
    ISSN: 0306-5251 , 1365-2125
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1498142-7
    SSG: 15,3
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