Evidence map›Paper›PMID 29785012›Full record

ArticleNature genetics2018

Multiplex assessment of protein variant abundance by massively parallel sequencing.

Kenneth A Matreyek, Lea M Starita, Jason J Stephany, Beth Martin, Melissa A Chiasson, Vanessa E Gray, Martin Kircher, Arineh Khechaduri, Jennifer N Dines, Ronald J Hause and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 297 papers.

0numbers the graph read from it
0cells of the map it votes in
297citing papers in PubMed
18.0field-weighted citation impact, top 1% 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

297 citing papers in PubMed, 514 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Review
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  7. Article
  8. Locus-Scale Massively Parallel Reporter Assays.bioRxiv : the preprint server for biology · 2026
    Article
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  19. Review
  20. Functional dissection ofProceedings of the National Academy of Sciences of the United States of America · 2026
    Article

237 more citing papers are in PubMed but not listed here.

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

16 authors at 6 institutions in 2 countries.

Kenneth A MatreyekDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9149-551X
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Jason J StephanyDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Beth MartinDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9661-014X
Melissa A ChiassonDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Vanessa E GrayDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Martin KircherDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9278-5471
Arineh KhechaduriDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Jennifer N DinesDepartment of Medical Genetics, University of Washington, Seattle, WA, USA.
Ronald J HauseDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Smita BhatiaSchool of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
William E EvansDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-9333-5322
Mary V RellingDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.
Wenjian YangDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. shendure@u.washington.edu.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. dfowler@uw.edu.ORCID http://orcid.org/0000-0001-7614-1713
University of Washington · USSt. Jude Children's Research Hospital · USCanadian Institute for Advanced Research · CAHoward Hughes Medical Institute · USUniversity of Alabama at Birmingham · USUniversity of Washington Medical Center · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Gregory Armstrong · 1985 to 2026
$166.9M
CPML - Project 3: Genome-wide Studies of Adverse EffectsP50GM115279 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI LOH, MIGNON LEE-CHEUN, RELLING, MARY V · 2015 to 2019
$15.1M
Interdisciplinary Tranining in Cancer ResearchT32CA080416 · NCI · UNIVERSITY OF WASHINGTON · PI STODDARD, BARRY L. · 1998 to 2023
$9.7M
Medical Genetics Training GrantT32GM007454 · NIGMS · UNIVERSITY OF WASHINGTON · PI Gail Pairitz Jarvik, Andrew Ben Stergachis · 1985 to 2026
$6.9M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Pharmacogenomics of Childhood Leukemia ALLR01CA036401 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI EVANS, WILLIAM E · 1985 to 2019
$3.6M
Ethnic Differences in Survival after Childhood ALLR01CA096670 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI BHATIA, SMITA · 2004 to 2009
$2.7M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
F-CAP: Functionalization of Variants in Clinically Actionable PharmacogenesR24GM115277 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M, RETTIE, ALLAN EDWARD · 2015 to 2017
$2.2M
NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA036401NCI NIH HHS R01 CA096670NCI NIH HHS T32 CA080416NHGRI NIH HHS DP1 HG007811NIGMS NIH HHS P50 GM115279NIGMS NIH HHS R01 GM109110NIGMS NIH HHS R24 GM115277NIGMS NIH HHS T32 GM007454
6 · The paper itself

Abstract

Determining the pathogenicity of genetic variants is a critical challenge, and functional assessment is often the only option. Experimentally characterizing millions of possible missense variants in thousands of clinically important genes requires generalizable, scalable assays. We describe variant abundance by massively parallel sequencing (VAMP-seq), which measures the effects of thousands of missense variants of a protein on intracellular abundance simultaneously. We apply VAMP-seq to quantify the abundance of 7,801 single-amino-acid variants of PTEN and TPMT, proteins in which functional variants are clinically actionable. We identify 1,138 PTEN and 777 TPMT variants that result in low protein abundance, and may be pathogenic or alter drug metabolism, respectively. We observe selection for low-abundance PTEN variants in cancer, and show that p.Pro38Ser, which accounts for ~10% of PTEN missense variants in melanoma, functions via a dominant-negative mechanism. Finally, we demonstrate that VAMP-seq is applicable to other genes, highlighting its generalizability.

Indexed as

Mutation, MissenseAmino AcidsCell LineHEK293 CellsHigh-Throughput Nucleotide SequencingHumansPTEN PhosphohydrolaseSequence Analysis, DNAAmino AcidsPTEN Phosphohydrolase

Identifiers

PMID29785012
PMCPMC5980760
OpenAlexW2950629294

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.