Evidence map›Paper›PMID 33226070›Full record

ArticleBioinformatics (Oxford, England)2021

Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations.

Swarnendu Tripathi, Nikita R Dsouza, Raul Urrutia, Michael T Zimmermann

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  9. PJAMIA open · 2021
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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

4 authors.

Swarnendu TripathiBioinformatics Research and Development Laboratory, Genomic Sciences and Precision Medicine Center, Milwaukee, WI 53226, USA.
Nikita R DsouzaBioinformatics Research and Development Laboratory, Genomic Sciences and Precision Medicine Center, Milwaukee, WI 53226, USA.
Raul UrrutiaPrecision Medicine Simulation Unit, Genomic Sciences and Precision Medicine Center, Milwaukee, WI 53226, USA.
Michael T ZimmermannBioinformatics Research and Development Laboratory, Genomic Sciences and Precision Medicine Center, Milwaukee, WI 53226, USA.ORCID 0000-0001-7073-0525

Funding

ZINC FINGER GENES AND PANCREATIC CELL GROWTHR01DK052913 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI LOMBERK, GWEN, URRUTIA, RAUL A. · 1998 to 2023
$7.0M
NIDDK NIH HHS R01 DK052913
6 · The paper itself

Abstract

motivationProtein-coding genetic alterations are frequently observed in Clinical Genetics, but the high yield of variants of uncertain significance remains a limitation in decision making. RAS-family GTPases are cancer drivers, but only 54 variants, across all family members, fall within well-known hotspots. However, extensive sequencing has identified 881 non-hotspot variants for which significance remains to be investigated.

resultsHere, we evaluate 935 missense variants from seven RAS genes, observed in cancer, RASopathies and the healthy adult population. We characterized hotspot variants, previously studied experimentally, using 63 sequence- and 3D structure-based scores, chosen by their breadth of biophysical properties. Applying scores that display best correlation with experimental measures, we report new valuable mechanistic inferences for both hot-spot and non-hotspot variants. Moreover, we demonstrate that 3D scores have little-to-no correlation with those based on DNA sequence, which are commonly used in Clinical Genetics. Thus, combined, these new knowledge bear significant relevance. AVAILABILITY AND IMPLEMENTATION: All genomic and 3D scores, and markdown for generating figures, are provided in our supplemental data. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Computational BiologyNeoplasmsAdultGenomicsHumansMutation, Missenseras Proteinsras Proteins

Identifiers

PMID33226070
PMCPMC8208742

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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.