Evidence map›Paper›PMID 37162834›Full record

ArticlebioRxiv : the preprint server for biology2023

High-throughput functional mapping of variants in an arrhythmia gene,

Ayesha Muhammad, Maria E Calandranis, Bian Li, Tao Yang, Daniel J Blackwell, M Lorena Harvey, Jeremy E Smith, Ashli E Chew, John A Capra, Kenneth A Matreyek and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Ayesha MuhammadVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Maria E CalandranisDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Bian LiDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Tao YangDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Daniel J BlackwellDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
M Lorena HarveyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Jeremy E SmithDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Ashli E ChewDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
John A CapraBakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143, USA.
Kenneth A MatreyekDepartment of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Dan M RodenVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Andrew M GlazerVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Vanderbilt University Medical Center · USUniversity of California, San Francisco · USUniversity of Washington · USUniversity School · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Systematically mapping variant effects for cardiovascular genesR01HL164675 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ASHLEY, EUAN A, RODEN, DAN M · 2022 to 2025
$8.1M
Functional Genomics of Cardiac Sodium Channel VariantsR01HL149826 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2020 to 2023
$2.9M
Personalized Structural Biology: Enabling Exome Interpretation in Undiagnosed DiseasesR01LM013434 · NLM · VANDERBILT UNIVERSITY · PI CAPRA, JOHN ANTHONY, MEILER, JENS · 2021 to 2024
$1.4M
A pipeline for identifying disease-causing variants in transmembrane proteinsR00HG010904 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, ANDREW M. · 2022 to 2024
$737k
NCI NIH HHS P30 CA068485NHGRI NIH HHS R00 HG010904NHGRI NIH HHS RM1 HG010461NHLBI NIH HHS R01 HL149826NHLBI NIH HHS R01 HL164675NIDDK NIH HHS P30 DK058404NIGMS NIH HHS T32 GM007347
6 · The paper itself

Abstract

Background: Results: Here, we demonstrate the power of variant effect mapping, which couples saturation mutagenesis with high-throughput sequencing, to ascertain the function of thousands of protein coding KCNE1 variants. We comprehensively assayed KCNE1 variant cell surface expression (2,554/2,709 possible single amino acid variants) and function (2,539 variants). We identified 470 loss-of-surface expression and 588 loss-of-function variants. Out of the 588 loss-of-function variants, only 155 had low cell surface expression. The latter half of the protein is dispensable for protein trafficking but essential for channel function. 22 of the 30 KCNE1 residues (73%) highly intolerant of variation were in predicted close contact with binding partners KCNQ1 or calmodulin. Our data were highly concordant with gold standard electrophysiological data (ρ = -0.65), population and patient cohorts (32/38 concordant variants), and computational metrics (ρ = -0.55). Our data provide moderate-strength evidence for the ACMG/AMP functional criteria for benign and pathogenic variants. Conclusions: Comprehensive variant effect maps of

Indexed as

KCNE1long QT syndromemultiplexed assay of variant effectsaturation mutagenesisvariant classification

Identifiers

PMID37162834
PMCPMC10168370
OpenAlexW4367557206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.