Evidence map›Paper›PMID 31451538›Full record

ReviewCold Spring Harbor perspectives in medicine2019

The Impact of Genetic Variants on

Nicholas Hasle, Kenneth A Matreyek, Douglas M Fowler

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. ExploringMicrobial cell (Graz, Austria) · 2021
    Review
  12. 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

3 authors at 2 institutions in 2 countries.

Nicholas HasleDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
Kenneth A MatreyekDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
University of Washington · USUniversity Health Network · CA

Funding

Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
Dissecting the role of PTEN in human disease by testing the effects of thousands of variants on multiple cellular phenotypesF30CA236335 · NCI · UNIVERSITY OF WASHINGTON · PI HASLE, NICHOLAS · 2019 to 2022
$170k
NCI NIH HHS F30 CA236335NHGRI NIH HHS RM1 HG010461NIGMS NIH HHS R01 GM109110
6 · The paper itself

Abstract

Phosphatase and tensin homolog (PTEN) is a tumor suppressor that directly regulates a diverse array of cellular phenotypes, including growth, migration, morphology, and genome stability. How a single protein impacts so many important cellular processes remains a fascinating question. This question has been partially resolved by the characterization of a slew of missense variants that alter or eliminate PTEN's various molecular functions, including its enzymatic activity, subcellular localization, and posttranslational modifications. Here, we review what is known about how

Indexed as

High-Throughput Nucleotide SequencingHumansMutation, MissensePhenotypeProtein Processing, Post-TranslationalPTEN PhosphohydrolaseSignal TransductionPTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID31451538
PMCPMC6824405
OpenAlexW2970740008

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.