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Background: Neurological disorders are clinically heterogeneous group of disorders and are major causes of disability and death. Several of these disorders are caused due to genetic aberration. A precise and confirmatory diagnosis in the patients in a timely manner is essential for appropriate therapeutic and management strategies. Due to the complexity of the clinical presentations across various neurological disorders, arriving at an accurate diagnosis remains a challenge. Methods: We sequenced 1012 unrelated patients from India with suspected neurological disorders, using TruSight One panel. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. Results: We were able to detect mutations in 197 genes in 405 (40%) cases and 178 mutations were novel. The highest diagnostic rate was observed among patients with muscular dystrophy (64%) followed by leukodystrophy and ataxia (43%, each). In our cohort, 26% of the patients who received definitive diagnosis were primarily referred with complex neurological phenotypes with no suggestive diagnosis. In terms of mutations types, 62.8% were truncating and in addition, 13.4% were structural variants, which are also likely to cause loss of function. Conclusion: In our study, we observed an improved performance of multi-gene panel testing, with an overall diagnostic yield of 40%. Furthermore, we show that NGS (next-generation sequencing)-based testing is comprehensive and can detect all types of variants including structural variants. It can be considered as a single-platform genetic test for neurological disorders that can provide a swift and definitive diagnosis in a cost-effective manner. [ABSTRACT FROM AUTHOR]

Mutations in sarcomeric genes are common genetic cause of cardiomyopathies. An intronic 25-bp deletion in cardiac myosin binding protein C ( MYBPC3) at 3 region is associated with dilated and hypertrophic cardiomyopathies in Southeast Asia. However, the frequency of sarcomeric gene polymorphisms and associated clinical presentation have not been established with left ventricular dysfunction (LVD). Therefore, the aim of the present study was to explore the association of MYBPC3 25-bp deletion, titin ( TTN) 18 bp I/D , troponin T type 2 ( TNNT2) 5 bp I/D and myospryn K2906N polymorphisms with LVD. This study includes 988 consecutive patients with angiographically confirmed coronary artery disease (CAD) and 300 healthy controls. Among the 988 CAD patients, 253 with reduced left ventricle ejection fraction (LVEF ≤ 45%) were categorized as LVD. MYBPC3 25-bp deletion, TTN 18 bp I/D and TNNT2 5 bp I/D polymorphisms were determined by direct polymerase chain reaction method, while myospryn K2906N polymorphism by TaqMan assay. Our results showed that MYBPC3 25-bp deletion polymorphism was significantly associated with elevated risk of LVD (LVEF <45) (healthy controls versus LVD: OR = 3.85, P< 0.001; and nonLVD versus LVD: OR = 1.65, P = 0.035), while TTN 18 bp I/D , TNNT2 5 bp I/D and myospryn K2906N polymorphisms did not show any significant association with LVD. The results also showed that MYBPC3 25-bp deletion polymorphism was significantly associated with other parameters of LV remodelling, i.e. LV dimensions (LV end diastole dimension, LVEDD: P = 0.037 and LV end systolic dimension, LVESD: P = 0.032). Our data suggests that MYBPC3 25-bp deletion may play significant role in conferring LVD as well as CAD risk in north Indian population. [ABSTRACT FROM AUTHOR]

Background Left ventricular dysfunction (LVD) is a complex, multifactorial condition, caused by mechanical, neurohormonal, and genetic factors. We have previously observed association of renin–angiotensin–aldosterone system (RAAS), matrix metalloproteinases (MMPs) and inflammatory pathway genes with LVD. Therefore the present study was undertaken to identify the combination of genetic variants and their possible interactions contributing towards genetic susceptibility to LVD in the background of coronary artery disease (CAD). Methods and results The study included 230 healthy controls and 510 consecutive patients with angiographically confirmed CAD. Among them, 162 with reduced left ventricle ejection fraction (LVEF ≤ 45%) were categorized as having LVD. We analyzed 11 polymorphisms of RAAS, MMPs and inflammatory pathways. Single locus analysis showed that AT1 A1166C (p value < 0.001; OR = 3.67), MMP9 R668Q (p value = 0.007; OR = 3.48) and NFKB1-94 ATTG ins/del (p value = 0.013; OR = 2.01) polymorphisms were independently associated with LVD when compared with both non-LVD patients and healthy controls. High-order gene–gene interaction analysis, using classification and regression tree (CART) and multifactor dimensionality reduction (MDR) revealed that AT1 A1166C and NFKB1 -94 ATTG ins/del polymorphisms jointly increased the risk of LVD to great extent (p-value = 0.001; OR = 8.55) and best four-factor interaction model consisted of AT1 A1166C, MMP7 A-181G, MMP9 R668Q and NFKB1 -94 ATTG ins/del polymorphisms with testing accuracy of 0.566 and cross validation consistency (CVC) = 9/10 (permutation p < 0.001) showed increased risk for LVD respectively. Conclusion AT1 A1166C independently and in combination with MMP9 R668Q and NFKB1-94 ATTG ins/del polymorphisms plays important role in conferring genetic susceptibility to LVD in CAD patients. [ABSTRACT FROM AUTHOR]

Objective: Cholesterol gallstone disease (CGD) is a multifactorial and multistep disease. Apart from female gender and increasing age being the documented non-modifiable risk factor for gallstones the pathobiological mechanisms underlying the phenotypic expression of CGD appear to be rather complex, and one or more variations in genes could play critical roles in the diverse pathways further progressing to cholesterol crystal formation. In the present study we performed genotyping score, Multifactor dimensionality reduction (MDR) and Classification and Regression Tree analysis (CART) to identify combinations of alleles among the hormonal, hepatocanalicular transporter and adipogenesis differentiation pathway genes in modifying the risk for CGD. Design: The present case-control study recruited total of 450 subjects, including 230 CGD patients and 220 controls. We analyzed common ESR1, ESR2, PGR, ADRB3, ADRA2A, ABCG8, SLCO1B1, PPARγ2, and SREBP2 gene polymorphisms to find out combinations of genetic variants contributing to CGD risk, using multi-analytical approaches (G-score, MDR, and CART). Results: Single locus analysis by logistic regression showed association of ESR1 IVS1-397C>T (rs2234693), IVS1-351A>G (rs9340799) PGR ins/del (rs1042838) ADRB3-190 T>C (rs4994) ABCG8 D19H (rs11887534), SLCO1B1 Exon4 C>A (rs11045819) and SREBP2 1784G>C (rs2228314) with CGD risk. However, the MDR and CART analysis revealed ESR1 IVS1-397C>T (rs2234693) ADRB3-190 T>C (rs4994) and ABCG8 D19H (rs11887534) polymorphisms as the best polymorphic signature for discriminating between cases and controls. The overall odds ratio for the applied multi-analytical approaches ranged from 4.33 to 10.05 showing an incremental risk for cholesterol crystal formation. In conclusion, our muti-analytical approach suggests that, ESR1, ADRB3, in addition to ABCG8 genetic variants confer significant risk for cholesterol gallstone disease. [ABSTRACT FROM AUTHOR]

Abstract: Rationale: Inflammation exacerbates a number of deleterious effects on the heart, most notable being left ventricular dysfunction (LVD). A promoter polymorphism of the NFKB1 gene (encodes p50 subunit) results in lower protein levels of NFkB p50 subunits, which in its dimmer (p50)2 form has anti-inflammatory effects. The active NFkB transcription factor promotes the expression of over 150 target genes including IL6 and TNF-α. Therefore, the aim of the present study was to assess the association of NFKB1, IL6 and TNF-α gene polymorphisms with LVD in coronary artery disease (CAD) patients. Methods and Results: The present study included a total of 830 subjects (600 CAD patients and 230 controls) and was carried out in two (primary and replication) cohorts. CAD patients with reduced left ventricle ejection fraction (LVEF ⩽45%) were categorized having LVD. The NFKB1 -94 ATTG ins/del (rs28362491), IL6 -174 G/C (rs1800795) and TNF-α -308 G/A (rs1800629) polymorphisms were genotyped by PCR/ARMS-PCR methods. The results of the primary cohort were validated in a replicative cohort and pooled by meta-analysis using Fisher’s and Mantel–Haenszel test. The analysis showed that NFKB1 ATTG1/ATTG1 genotype was significantly associated with LVD (Fisher’s method p-value=0.007, Mantel–Haenszel OR=2.34), LV end diastole (p-value=0.013), end systole (p-value=0.011) dimensions, LV mass (p-value=0.024), mean LVEF (p-value=0.001) and myocardial infarction (p-value=0.043). Conclusion: Our data suggests that NFKB1 -94 ATTG ins/del polymorphism plays significant role in conferring susceptibility of LVD and ATTG1/ATTG1 genotype may modulate risk of heart failure by increasing ventricular remodeling and worsening LV function. [Copyright &y& Elsevier]

Abstract: Background: Left ventricular dysfunction (LVD) is a condition resulting from clustered structural or functional cardiac disorder that reduces the ability of the ventricle to fill with or eject blood. The impaired ventricular function can be attributed to unfavorable ventricular remodeling. Among the pathways that contribute to remodeling process, matrix metalloproteinases (MMPs) appear to be of particular interest. We explored the association of MMP2 (C-735T, rs2285053), MMP7 (A-181G, rs11568818) and MMP9 (R279Q, rs17576), (P574R, rs2250889), (R668Q, rs17577) genetic variants with LVD in coronary artery disease (CAD) patients. Methods: The study included 310 consecutive patients with angiographically confirmed CAD and 230 healthy controls. Among patients with CAD, 95 with reduced left ventricle ejection fraction (LVEF≤45) were categorized as LVD. Polymorphisms were determined by PCR-RFLP. Results: The MMP9 R668Q genetic variant was significantly associated with LVD (LVEF≤45) (p value=0.009; OR=3.82). To validate our results, we performed a replication study in additional 200 cases with similar clinical characteristics and results again confirmed consistent findings (p value=0.033; OR=3.59). Also the frequency of haplotype R,P,Q comprising R668Q variation in MMP 9 was significantly higher in reduced LVEF subjects (p value=0.008; OR=1.83). Conclusion: MMP9 R668Q plays important role in conferring susceptibility of LVD. [Copyright &y& Elsevier]

Background: Left ventricular dysfunction (LVD), followed by fall in cardiac output is one of the major complications in some coronary artery disease (CAD) patients. The decreased cardiac output over time leads to activation of the renin-angiotensin-aldosterone system which results in vasoconstriction by influencing salt-water homeostasis. Therefore, the purpose of the present study was to explore the association of single nucleotide polymorphisms (SNPs) in angiotensin I converting enzyme; ACE (rs4340), angiotensin II type1 receptor; AT1 (rs5186) and aldosterone synthase; CYP11B2 (rs1799998) with LVD. Methods and results: The present study was carried out in two cohorts. The primary cohort included 308 consecutive patients with angiographically confirmed CAD and 234 healthy controls. Among CAD, 94 with compromised left ventricle ejection fraction (LVEF &les; 45) were categorized as LVD. The ACE I/D, AT1 A1166C and CYP11B2 T-344C polymorphisms were determined by PCR. Our results showed that ACE I/D was significantly associated with CAD but not with LVD. However, AT1 1166C variant was significantly associated with LVD (LVEF &les; 45) (p value=0.013; OR=3.69), but CYP11B2 (rs1799998) was not associated with either CAD or LVD. To validate our results, we performed a replication study in additional 200 cases with similar clinical characteristics and results again confirmed consistent findings (p value=0.020; OR=5.20). Conclusion: AT1 A1166C plays important role in conferring susceptibility of LVD. [ABSTRACT FROM AUTHOR]