Back

Genetic analysis of Indian sporadic young onset patient with Amyotrophic Lateral Sclerosis

Roychowdhury, S.; Joshi, D.; Singh, V. K.; Faruq, M.; Das, P.

2023-09-12 neurology
10.1101/2023.09.12.23295297 medRxiv
Show abstract

BackgroundAmyotrophic lateral sclerosis (ALS) is an old onset devastating neurodegenerative disorder. Young-onset ALS cases especially sporadic ones who are between 25 and 45 years are rarely affected by the disease. Despite the identification of numerous candidate genes associated with ALS, the aetiology of the disease remains elusive due to extreme genetic and phenotypic variability. The advent of affordable whole exome sequencing has opened new avenues for unraveling the diseases pathophysiology better. Methods and ResultsOur aim was to determine the genetic basis of an Indian-origin, young onset sporadic ALS patient with very rapid deterioration of the disease course without any cognitive decline who was screened for mutations in major ALS candidate genes by Whole exome sequencing. Variants detected were reconfirmed by Sanger Sequencing. The clinicopathological features were investigated and two heterozygous missense variants harboring each in ANXA11, in one of the four conserved C terminal domains (R452W) and another in the SIGMAR1 (R208W) were thus identified respectively. Both of these variants were predicted to be damaging by pathogenicity prediction tools and various In silico methods. ConclusionsOur study revealed two potentially pathogenic variants in two ALS candidate genes. The genetic makeup of ALS patients from India has been the subject of a few prior studies, but none of them examined ANXA11 and SIGMAR1 genes so far. These results establish the framework for additional research into the pathogenic processes behind these variations that result in sporadic ALS disease and further our understanding of the genetic makeup of Indian ALS patients.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
European Journal of Neurology
20 papers in training set
Top 0.1%
12.8%
2
Frontiers in Neurology
91 papers in training set
Top 0.4%
12.6%
3
Journal of Neurology
26 papers in training set
Top 0.1%
10.3%
4
PLOS ONE
4510 papers in training set
Top 24%
7.0%
5
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.2%
5.0%
6
Neuropathology and Applied Neurobiology
14 papers in training set
Top 0.1%
5.0%
50% of probability mass above
7
Scientific Reports
3102 papers in training set
Top 30%
4.0%
8
Journal of the Neurological Sciences
17 papers in training set
Top 0.2%
2.1%
9
Brain Communications
147 papers in training set
Top 1%
2.1%
10
Molecular Neurobiology
50 papers in training set
Top 0.3%
1.7%
11
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.5%
1.7%
12
Journal of Parkinson's Disease
13 papers in training set
Top 0.2%
1.7%
13
Parkinsonism & Related Disorders
21 papers in training set
Top 0.3%
1.7%
14
Brain Sciences
52 papers in training set
Top 0.8%
1.5%
15
BMC Neurology
12 papers in training set
Top 0.5%
1.5%
16
Biomedicines
66 papers in training set
Top 1%
1.5%
17
Muscle & Nerve
10 papers in training set
Top 0.2%
1.5%
18
Movement Disorders
62 papers in training set
Top 0.8%
1.3%
19
Cells
232 papers in training set
Top 4%
1.3%
20
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.4%
1.1%
21
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
25 papers in training set
Top 0.6%
0.9%
22
Neurology
44 papers in training set
Top 1%
0.9%
23
Pharmacological Research
15 papers in training set
Top 0.2%
0.9%
24
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.8%
25
Multiple Sclerosis Journal
18 papers in training set
Top 0.2%
0.8%
26
Frontiers in Aging Neuroscience
67 papers in training set
Top 3%
0.8%
27
Neurobiology of Disease
134 papers in training set
Top 4%
0.8%
28
Journal of Alzheimer’s Disease
39 papers in training set
Top 1%
0.7%
29
BioMed Research International
25 papers in training set
Top 3%
0.7%
30
Multiple Sclerosis and Related Disorders
15 papers in training set
Top 0.2%
0.7%