Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016. Issue 9 (13th September 2019)
- Record Type:
- Journal Article
- Title:
- Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016. Issue 9 (13th September 2019)
- Main Title:
- Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016
- Authors:
- Clark, Wyatt T.
Kasak, Laura
Bakolitsa, Constantina
Hu, Zhiqiang
Andreoletti, Gaia
Babbi, Giulia
Bromberg, Yana
Casadio, Rita
Dunbrack, Roland
Folkman, Lukas
Ford, Colby T.
Jones, David
Katsonis, Panagiotis
Kundu, Kunal
Lichtarge, Olivier
Martelli, Pier L.
Mooney, Sean D.
Nodzak, Conor
Pal, Lipika R.
Radivojac, Predrag
Savojardo, Castrense
Shi, Xinghua
Zhou, Yaoqi
Uppal, Aneeta
Xu, Qifang
Yin, Yizhou
Pejaver, Vikas
Wang, Meng
Wei, Liping
Moult, John
Yu, Guoying Karen
Brenner, Steven E.
LeBowitz, Jonathan H.
… (more) - Editors:
- Moult, John
Brenner, Steven E. - Other Names:
- Karchin Rachel guestEditor.
Pal Lipika R. specialEditor. - Abstract:
- 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.
- Is Part Of:
- Human mutation. Volume 40:Issue 9(2019)
- Journal:
- Human mutation
- Issue:
- Volume 40:Issue 9(2019)
- Issue Display:
- Volume 40, Issue 9 (2019)
- Year:
- 2019
- Volume:
- 40
- Issue:
- 9
- Issue Sort Value:
- 2019-0040-0009-0000
- Page Start:
- 1519
- Page End:
- 1529
- Publication Date:
- 2019-09-13
- Subjects:
- CAGI -- critical assessment -- enzymatic activity -- machine learning -- Sanfilippo syndrome -- variants of unknown significance -- α‐N‐acetylglucosaminidase, NAGLU
Human chromosome abnormalities -- Periodicals
Mutation (Biology) -- Periodicals
616.04205 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-1004 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/humu.23875 ↗
- Languages:
- English
- ISSNs:
- 1059-7794
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.217000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17486.xml