ABSTRACT
OBJECTIVES: Predicting response to anti-tumour necrosis factor alpha (anti-TNFα) drugs at baseline remains an elusive goal in rheumatoid arthritis (RA) management. The purpose of this study was to determine if baseline genetic variants of PTPRC, AFF3, myD228, CHUK, MTHFR1, MTHFR2, CD226 and a number of KIR and HLA alleles could predict response to anti-TNF-α in rheumatoid arthritis patients. METHODS: Peripheral blood samples were collected from 238 RA patients treated with anti-TNFα drugs. Genotyping was performed using biochip array technology by Randox Laboratories Ltd. and sequence specific polymerase chain reaction. Linear regression analysis was performed to investigate the role of these genotypes in predicting response to treatment, as defined by European League Against Rheumatism (EULAR) response classification and absolute change in disease activity score (DAS28). RESULTS: Of 238 RA patients analysed, 50.4% received adalimumab, 29.7% received etanercept, 14.8% received infliximab, 3.4% certoluzimab and 1.7% golimumab. The MTHFR1 variant rs1801133 was significantly associated with the EULAR response, p=0.044. Patients with the HLA-DRB1*0404 allele displayed a significantly larger reduction in DAS28 compared to non-carriers (mean -2.22, -1.67 respectively, p=0.033). CD226 rs763361 was the only SNP variant significantly associated with ΔDAS28 (p=0.029). CONCLUSIONS: This study has investigated individual allele associations with reductions in DAS28 across a range of anti-TNFα treatments. A combined predictive model indicates that patients with the HLA-DRB1*0404 allele and without the CD226 rs763361 polymorphism exhibit the largest reduction in DAS28 after anti-TNF-α treatment.
Subject(s)
Antirheumatic Agents , Arthritis, Rheumatoid , Adalimumab/therapeutic use , Antirheumatic Agents/therapeutic use , Arthritis, Rheumatoid/diagnosis , Arthritis, Rheumatoid/drug therapy , Arthritis, Rheumatoid/genetics , Etanercept/therapeutic use , HLA-DRB1 Chains/genetics , Haplotypes , Humans , Infliximab/therapeutic use , Treatment Outcome , Tumor Necrosis Factor-alpha/geneticsSubject(s)
Diabetes Mellitus, Type 1/genetics , Genetic Testing/economics , Cost-Benefit Analysis , Diabetes Mellitus, Type 1/diagnosis , Genetic Predisposition to Disease , Genetic Testing/methods , Genotype , Humans , Oligonucleotide Array Sequence Analysis/economics , Oligonucleotide Array Sequence Analysis/methods , Polymerase Chain Reaction , Polymorphism, Single Nucleotide , Real-Time Polymerase Chain Reaction/economics , Real-Time Polymerase Chain Reaction/methods , Sequence Analysis, DNA/economics , SoftwareABSTRACT
PURPOSE OF REVIEW: Familial hypercholesterolaemia is a hereditary disorder of lipoprotein metabolism which causes a lifelong increase in LDL-C levels resulting in premature coronary heart disease. The present review looks at some of the recent literature on how molecular methods can be used to assist in the definitive diagnosis of familial hypercholesterolaemia in a range of patient groups. RECENT FINDINGS: Several recent studies have shown that the prevalence of clinical familial hypercholesterolaemia is higher than previously thought at 1/200 to 1/300, and that 2-5% of patients presenting with early myocardial infarction can be found to have a familial hypercholesterolaemia mutation. The present review then examines different approaches to molecular testing for familial hypercholesterolaemia including point mutation panels versus next-generation sequencing gene panels, and the range of genes tested by some of those panels. Finally, we review the recent evidence for polygenic hypercholesterolaemia within clinically defined familial hypercholesterolaemia patient populations. SUMMARY: To identify patients with familial hypercholesterolaemia within clinically selected patient groups efficiently, a clinical scoring system should be combined with a molecular testing approach for mutations and for polygenic LDL-C single-nucleotide polymorphisms. Alternatively, a population screening methodology may be appropriate, using mutation testing at an early age before significant atherosclerosis has begun. The precise molecular testing method chosen may depend on the clinical presentation of the patient, and/or the population from which they arise.
Subject(s)
Hyperlipoproteinemia Type II/diagnosis , Molecular Diagnostic Techniques/methods , High-Throughput Nucleotide Sequencing , Humans , Hyperlipoproteinemia Type II/genetics , Point MutationABSTRACT
Background Detection of disease-associated mutations in patients with familial hypercholesterolaemia is crucial for early interventions to reduce risk of cardiovascular disease. Screening for these mutations represents a methodological challenge since more than 1200 different causal mutations in the low-density lipoprotein receptor has been identified. A number of methodological approaches have been developed for screening by clinical diagnostic laboratories. Methods Using primers targeting, the low-density lipoprotein receptor, apolipoprotein B, and proprotein convertase subtilisin/kexin type 9, we developed a novel Ion Torrent-based targeted re-sequencing method. We validated this in a West Midlands-UK small cohort of 58 patients screened in parallel with other mutation-targeting methods, such as multiplex polymerase chain reaction (Elucigene FH20), oligonucleotide arrays (Randox familial hypercholesterolaemia array) or the Illumina next-generation sequencing platform. Results In this small cohort, the next-generation sequencing method achieved excellent analytical performance characteristics and showed 100% and 89% concordance with the Randox array and the Elucigene FH20 assay. Investigation of the discrepant results identified two cases of mutation misclassification of the Elucigene FH20 multiplex polymerase chain reaction assay. A number of novel mutations not previously reported were also identified by the next-generation sequencing method. Conclusions Ion Torrent-based next-generation sequencing can deliver a suitable alternative for the molecular investigation of familial hypercholesterolaemia patients, especially when comprehensive mutation screening for rare or unknown mutations is required.