Evidence map›Paper›PMID 31228295›Full record

ArticleHuman mutation2019

Gene-specific features enhance interpretation of mutational impact on acid α-glucosidase enzyme activity.

Aashish N Adhikari

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Functional genomics of OCTN2 variants informs protein-specific variant effect predictor for Carnitine Transporter Deficiency.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Aashish N AdhikariDepartment of Plant and Microbial Biology, University of California, Berkeley, California.ORCID 0000-0003-4305-9494
University of California, Berkeley · US

Funding

Sequencing of Newborn Blood Spot DNA to Improve and Expand Newborn ScreeningU19HD077627 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOENIG, BARBARA A., KWOK, PUI-YAN · 2013 to 2018
$6.6M
Component 2 - Resource ProjectU41HG007346 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2015 to 2017
$1.7M
Critical Assessment of Genome Interpretation ConferenceR13HG006650 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2011 to 2018
$165k
NHGRI NIH HHS R13 HG006650NHGRI NIH HHS U41 HG007346NICHD NIH HHS U19 HD077627NIH HHS R13 HG006650NIH HHS U19 HD077627NIH HHS U41 HG007446
6 · The paper itself

Abstract

We present a computational model for predicting mutational impact on enzymatic activity of human acid α-glucosidase (GAA), an enzyme associated with Pompe disease. Using a model that combines features specific to GAA with other general evolutionary and physiochemical features, we made blind predictions of enzymatic activity relative to wildtype human GAA for >300 GAA mutants, as part of the Critical Assessment of Genome Interpretation 5 GAA challenge. We found that gene-specific features can improve the performance of existing impact prediction tools that mostly rely on general features for pathogenicity prediction. Majority of the poorly predicted mutants that lower wildtype GAA enzyme activity occurred on the surface of the GAA protein. We also found that gene-specific features were uncorrelated with existing methods and provided orthogonal information for interpreting the origin of pathogenicity, particular in variants that are poorly predicted by existing general methods. Specific variants in GAA, when investigated in the context of its protein structure, suggested gene-specific information like the disruption of local backbone torsional geometry and disruption of particular sidechain-sidechain hydrogen bonds as some potential sources for pathogenicity.

Indexed as

MutationAlgorithmsalpha-GlucosidasesComputational BiologyGenetic Predisposition to DiseaseGlycogen Storage Disease Type IIHumansHydrogen BondingModels, MolecularProtein Conformationalpha-GlucosidasesGAA protein, humanacid α-glucosidaseenzyme activity predictiongene-specific variant effect predictionPompe diseasevariant interpretation

Identifiers

PMID31228295
PMCPMC7329270
OpenAlexW2952584446

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.