Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SOD1-ALS-Browser

General information

URL: https://sod1-als-browser.rosalind.kcl.ac.uk
Full name:
Description: SOD1-ALS-Browser contains a built-in dataset of clinical information from 1383 people with ALS harboring a SOD1 variant resulting in one of 162 unique amino acid sequence alterations and from a non-SOD1 comparator ALS cohort of 13,469 individuals.
Year founded: 2023
Last update:
Version:
Accessibility:
Accessible
Country/Region: United Kingdom

Classification & Tag

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Contact information

University/Institution: King"s College London
Address:
City:
Province/State:
Country/Region: United Kingdom
Contact name (PI/Team): Alfredo Iacoangeli
Contact email (PI/Helpdesk): alfredo.iacoangeli@kcl.ac.uk

Publications

37534756
SOD1-ALS-Browser: a web-utility for investigating the clinical phenotype in amyotrophic lateral sclerosis. [PMID: 37534756]
Thomas P Spargo, Sarah Opie-Martin, Guy P Hunt, Munishikha Kalia, Ahmad Al Khleifat, Simon D Topp, Christopher E Shaw, Ammar Al-Chalabi, Alfredo Iacoangeli, null null

Variants in the superoxide dismutase () gene are among the most common genetic causes of amyotrophic lateral sclerosis. Reflecting the wide spectrum of putatively deleterious variants that have been reported to date, it has become clear that -linked ALS presents a highly variable age at symptom onset and disease duration. Here we describe an open access web tool for comparative phenotype analysis in ALS: https://sod1-als-browser.rosalind.kcl.ac.uk/. The tool contains a built-in dataset of clinical information from 1383 people with ALS harboring a variant resulting in one of 162 unique amino acid sequence alterations and from a non- comparator ALS cohort of 13,469 individuals. We present two examples of analyses possible with this tool, testing how the ALS phenotype relates to variants that alter amino acid residue hydrophobicity and to distinct variants at the 94 residue of SOD1, where six are sampled. The tool provides immediate access to the datasets and enables bespoke analysis of phenotypic trends associated with different protein variants, including the option for users to upload their own datasets for integration with the server data. The tool can be used to study -ALS and provides an analytical framework to study the differences between other user-uploaded ALS groups and our large reference database of and non- ALS. The tool is designed to be useful for clinicians and researchers, including those without programming expertise, and is highly flexible in the analyses that can be conducted.

Amyotroph Lateral Scler Frontotemporal Degener. 2023:() | 3 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
4613/6895 (33.111%)
Genotype phenotype and variation:
662/1005 (34.229%)
4613
Total Rank
3
Citations
1.5
z-index

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Record metadata

Created on: 2023-08-22
Curated by:
Yuanyuan Cheng [2023-09-11]
Yuxin Qin [2023-09-06]
Yuxin Qin [2023-08-22]