Clark, WT;
Kasak, L;
Bakolitsa, C;
Hu, Z;
Andreoletti, G;
Babbi, G;
Bromberg, Y;
... LeBowitz, JH; + view all
(2019)
Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016.
Human Mutation
, 40
(9)
pp. 1519-1529.
10.1002/humu.23875.
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Abstract
The NAGLU challenge of the fourth edition of the Critical Assessment of Genome Interpretation experiment (CAGI4) in 2016, invited participants to predict the impact of variants of unknown significance (VUS) on the enzymatic activity of the lysosomal hydrolase α‐N‐acetylglucosaminidase (NAGLU). Deficiencies in NAGLU activity lead to a rare, monogenic, recessive lysosomal storage disorder, Sanfilippo syndrome type B (MPS type IIIB). This challenge attracted 17 submissions from 10 groups. We observed that top models were able to predict the impact of missense mutations on enzymatic activity with Pearson's correlation coefficients of up to .61. We also observed that top methods were significantly more correlated with each other than they were with observed enzymatic activity values, which we believe speaks to the importance of sequence conservation across the different methods. Improved functional predictions on the VUS will help population‐scale analysis of disease epidemiology and rare variant association analysis.
| Type: | Article |
|---|---|
| Title: | Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/humu.23875 |
| Publisher version: | https://doi.org/10.1002/humu.23875 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | CAGI, critical assessment, enzymatic activity, machine learning, Sanfilippo syndrome, variants of unknown significance, α‐N‐acetylglucosaminidase, NAGLU |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10082873 |
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