scholarly journals Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes

Author(s):  
Abhinav Jain ◽  
Rahul C. Bhoyar ◽  
Kavita Pandhare ◽  
Anushree Mishra ◽  
Disha Sharma ◽  
...  

Abstract Background Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient’s ancestry. There are several autoinflammatory disorders that are found to be prevalent in a specific population and whose disease genetic epidemiology within the population has been well understood. However, India has a limited number of genetic studies reported for autoinflammatory disorders till date. The whole genome sequencing and analysis of 1029 Indian individuals performed under the IndiGen project persuaded us to perform the genetic epidemiology of the autoinflammatory disorders in India. Results We have systematically annotated the genetic variants of 56 genes implicated in autoinflammatory disorder. These genetic variants were reclassified into five categories (i.e., pathogenic, likely pathogenic, benign, likely benign, and variant of uncertain significance (VUS)) according to the American College of Medical Genetics and Association of Molecular pathology (ACMG-AMP) guidelines. Our analysis revealed 20 pathogenic and likely pathogenic variants with significant differences in the allele frequency compared with the global population. We also found six causal founder variants in the IndiGen dataset belonging to different ancestry. We have performed haplotype prediction analysis for founder mutations haplotype that reveals the admixture of the South Asian population with other populations. The cumulative carrier frequency of the autoinflammatory disorder in India was found to be 3.5% which is much higher than reported. Conclusion With such frequency in the Indian population, there is a great need for awareness among clinicians as well as the general public regarding the autoinflammatory disorder. To the best of our knowledge, this is the first and most comprehensive population scale genetic epidemiological study being reported from India.

2020 ◽  
Vol 5 ◽  

Human leukocyte antigen (HLA) loci are highly polymorphic and determine differential features of the immune response in subjects from different regions. HLA genes have been proposed to determine genetic susceptibility to several diseases, particularly to viral infections. Moreover, it has been suggested that each ethnic group could have a different specificity of T-lymphocyte reactivity to the same viral infections. In this review, we analyzed the distribution of HLA types in countries of the Asian, European and North African region. Also, we studied the relation between these HLA polymorphisms and susceptibility to infection by the coronavirus. Our findings indicated that homozygosity would increase susceptibility to viral infections and, in some cases, to coronavirus infection. HLA types showing higher susceptibility were reported in Asian population, including China, Singapore, and Taiwan. In contrast, lower susceptibility HLA variants were detected among African populations, some Asian populations, and Mediterranean populations. The presented evidence along with the spread pattern of COVID-19 infection suggests that HLA genetic variants might be related to its infection susceptibility and severity. The investigation of HLA genetic variants distribution would be a useful tool to predict different populations’ susceptibility to viral infections.


BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nilanka Wickramasinghe ◽  
Dhanushka Dasanayake ◽  
Neelika Malavige ◽  
Rajiva de Silva ◽  
Thashi Chang

Abstract Background Autoimmune encephalitis (AE) is now considered a main, potentially curable cause of encephalitis, but remains conspicuously underreported from South Asia. We studied the clinical characteristics in relation to their antibody status and outcomes of patients presenting with AE in Sri Lanka. Methods Patients admitting to government hospitals who were clinically suspected of AE by an on-site neurologist were prospectively recruited over a period of 12 months. Sera and cerebrospinal fluid were tested for NMDAR, AMPAR1, AMPAR2, LGI1, CASPR2, GABARB1/B2 antibodies (Ab) using commercial cell-based assays. Demographic, clinical and laboratory data were compiled into an investigator-administered proforma. Patients were reviewed at 1 year follow up either in person or via telephone. Results One-hundred and forty-two patients from 21 of 25 districts in Sri Lanka (median age = 20.5 years; range 1–86 years; females = 61.3%) were recruited. Of them, 65 (45.8%; median age = 19 years; range 1–86 years; females = 64.6%) fulfilled diagnostic criteria for probable NMDAR-antibody encephalitis (NMDARE) and 6 (4.2%; median age = 44 years; range 28–71 years; females = 83.3%) limbic encephalitis (LE). Abnormal behaviour (95.3%), seizures (81.5%) and movement disorders (69.2%) were the most frequent clinical manifestations of probable NMDARE. NMDAR-antibodies were detectable in 29 (44.6%) and not detectable in 36 in CSF of probable-NMDARE patients. Abnormal EEG was more frequent (p = 0.003) while a worse outcome (OR = 2.78; 95% CI = 0.88–9.09) and deaths (OR = 2.38; 95% CI = 0.67–8.33) were more likely in antibody-negative than antibody-positive probable-NMDARE. Most patients with LE had amnesia (50%) and/or confusion (100%) with agitation (83.3%) and seizures (100%) but none had detectable antibodies to any of the antigens tested. Conclusions NMDARE is the commonest type of AE among South Asians as is the case worldwide. Clinical presentations of NMDARAb-positive and NMDARAb-negative AE patients do not significantly differ but EEG may be a useful marker of an autoimmune basis for psychiatric symptoms.


Gene ◽  
2021 ◽  
pp. 145592
Author(s):  
Shaik Mohammad Naushad ◽  
Kiran Kumar Vattam ◽  
Yadamreddy Kanaka Durga Devi ◽  
Tajamul Hussain ◽  
Salman Alrokayan ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Amit Yadav ◽  
Anuraag Jena ◽  
Rozy Thakur ◽  
Pankaj Kumar ◽  
Prateek Bhatia ◽  
...  

2018 ◽  
Vol 08 (02) ◽  
Author(s):  
Ramesh Reddy Allam ◽  
Rashmi Pant ◽  
Chengappa K Uthappa ◽  
Manjunath Dinaker ◽  
Ganesh Oruganti ◽  
...  

2011 ◽  
Vol 105 (06) ◽  
pp. 1100-1102 ◽  
Author(s):  
Sze Ling Chan ◽  
Boon Cher Goh ◽  
Kee Seng Chia ◽  
Benjamin Chuah ◽  
Andrea Wong ◽  
...  

2015 ◽  
Vol 65 (10) ◽  
pp. A1497
Author(s):  
Mohan Thanikachalam ◽  
Jahnavi Sunderarajan ◽  
Kevin Lane ◽  
Hari Vanzan ◽  
Kwan HK Chui ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document