Evidence map›Paper›PMID 31494120›Full record

ReviewBiochimica et biophysica acta. Biomembranes2020

Genetic intolerance analysis as a tool for protein science.

Geoffrey C Li, Eliot T C Forster-Benson, Charles R Sanders

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Biomembranes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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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 1 institution in 1 country.

Geoffrey C LiDepartment of Biochemistry, Vanderbilt University, Nashville, TN 37240, United States.
Eliot T C Forster-BensonDepartment of Biochemistry, Vanderbilt University, Nashville, TN 37240, United States.
Charles R SandersDepartment of Biochemistry, Vanderbilt University, Nashville, TN 37240, United States; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States. Electronic address: chuck.sanders@vanderbilt.edu.
Vanderbilt University · US

Funding

Decrypting Variants of Uncertain Significance in Long-QT SyndromeR01HL122010 · NHLBI · VANDERBILT UNIVERSITY · PI GEORGE, ALFRED L., SANDERS, CHARLES R · 2014 to 2025
$15.5M
Folding, Misfolding, and Function of PMP22R01NS095989 · NINDS · VANDERBILT UNIVERSITY · PI Bruce D Carter, CHARLES R SANDERS · 2016 to 2026
$4.6M
Roles of Cholesterol and Membrane Nanodomains in the Amyloidogenic PathwayRF1AG056147 · NIA · VANDERBILT UNIVERSITY · PI KENWORTHY, ANNE K, SANDERS, CHARLES R · 2017 to 2017
$3.6M
Structure, Folding, and Misfolding of PMP22R01NS058815 · NINDS · VANDERBILT UNIVERSITY · PI CARTER, BRUCE D, SANDERS, CHARLES R · 2010 to 2012
$921k
NHLBI NIH HHS R01 HL122010NIA NIH HHS RF1 AG056147NINDS NIH HHS R01 NS058815NINDS NIH HHS R01 NS095989
6 · The paper itself

Abstract

Recent advances in whole genome and exome sequencing have dramatically increased the database of human gene variations. There are now enough sequenced human exomes and genomes to begin to identify gene variations that are notable because they are NOT observed in sequenced human genomes, apparently because they are subject to "purifying selection", exemplifying genetic intolerance. Such "dysprocreative" gene variations are embryonic lethal or prevent reproduction through any one of a number of possible mechanisms. Here we review an emerging quantitative approach, "Missense Tolerance Ratio" (MTR) analysis, that is used to assess protein-encoding gene (cDNA) sequence intolerance to missense mutations based on analysis of the >100 K and growing number of currently available human genome and exome sequences. This approach is already useful for analyzing intolerance to mutations in cDNA segments with a resolution on the order of 90 bases. Moreover, as the number of sequenced genomes/exomes increases by orders of magnitude it may eventually be possible to assess mutational tolerance in a statistically robust manner at or near single site resolution. Here we focus on how cDNA intolerance analysis complements other bioinformatic methods to illuminate structure-folding-function relationships for the encoded proteins. A set of disease-linked membrane proteins is employed to provide examples.

Indexed as

Mutation, MissenseSequence Analysis, DNAAnimalsComputational BiologyExomeGenetic VariationGenome, HumanHumansProtein FoldingExomeGeneGenomeIntoleranceMembraneMissense mutationProteinPurifying selectionVariations

Identifiers

PMID31494120
PMCPMC6899207
OpenAlexW2971943544

What OpenQuestion holds

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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.