Evidence map›Paper›PMID 27939289›Full record

ArticleJournal of molecular biology2017

Intensification: A Resource for Amplifying Population-Genetic Signals with Protein Repeats.

Jieming Chen, Bo Wang, Lynne Regan, Mark Gerstein

Abstract read
In one paragraph

Article in Journal of molecular biology, 2017. 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.

No citing paper in PubMed yet.

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

4 authors.

Jieming ChenProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.
Bo WangDepartment of Chemistry, Yale University, New Haven, CT 06520, USA.
Lynne ReganProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA; Department of Chemistry, Yale University, New Haven, CT 06520, USA.
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA; Department of Computer Science, Yale University, New Haven, CT 06520, USA. Electronic address: mark@gersteinlab.org.

Funding

Yale Center for Mendelian DisordersU54HG006504 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, GUNEL, MURAT · 2012 to 2015
$11.0M
Prioritizing rare variants associated with cancer using non-coding annotationR01HG008126 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER · 2016 to 2018
$2.4M
NHGRI NIH HHS R01 HG008126NHGRI NIH HHS U54 HG006504
6 · The paper itself

Abstract

Large-scale genome sequencing holds great promise for the interpretation of protein structures through the discovery of many, rare functional variants in the human population. However, because protein-coding regions are under high selective constraints, these variants occur at low frequencies, such that there is often insufficient statistics for downstream calculations. To address this problem, we develop the Intensification approach, which uses the modular structure of repeat protein domains to amplify signals of selection from population genetics and traditional interspecies conservation. In particular, we are able to aggregate variants at the codon level to identify important positions in repeat domains that show strong conservation signals. This allows us to compare conservation over different evolutionary timescales. It also enables us to visualize population-genetic measures on protein structures. We make available the Intensification results as an online resource (http://intensification.gersteinlab.org) and illustrate the approach through a case study on the tetratricopeptide repeat.

Indexed as

Computational BiologyAmino Acid SequenceChromosome MappingCodonDatabases, GeneticEvolution, MolecularGenetics, PopulationHumansInternetMolecular StructureProtein ConformationProteinsSignal Processing, Computer-AssistedX-RaysCodonProteinsdatabaseexome sequencingpopulation geneticsprotein repeat domainprotein structure

Identifiers

PMID27939289
PMCPMC5420328

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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.