Evidence map›Paper›PMID 31143202›Full record

ArticleFrontiers in genetics2019

A Single-Subject Method to Detect Pathways Enriched With Alternatively Spliced Genes.

Alfred Grant Schissler, Dillon Aberasturi, Colleen Kenost, Yves A Lussier

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Alfred Grant SchisslerDepartment of Mathematics and Statistics, University of Nevada, Reno, Reno, NV, United States.
Dillon AberasturiCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, AZ, United States.
Colleen KenostCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, AZ, United States.
Yves A LussierCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, AZ, United States.

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
University of Arizona - Banner Health Precision Medicine Initiative Cohort Enrollment CenterUG3OD023171 · OD · UNIVERSITY OF ARIZONA · PI MENON, USHA, OJO, AKINLOLU OLUSEUN · 2016 to 2017
$8.8M
Beagle: A Supercomputer for Computational Biology, Simulation, and Data AnalysisS10RR029030 · NCRR · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2010 to 2010
$7.0M
Immuno-Genetic Basis for Human Disseminated CoccidioidomycosisU01AI122275 · NIAID · UNIVERSITY OF ARIZONA · PI GALGIANI, JOHN N, HOLLAND, STEVEN M · 2017 to 2020
$2.3M
Myofibroblasts in pulmonary fibrosis: origin, clones and KLF4F32HL132532 · NHLBI · YALE UNIVERSITY · PI RADHAMANI CHANDRAN, RACHANA · 2016 to 2018
$174k
NCI NIH HHS P30 CA023074NCRR NIH HHS S10 RR029030NHLBI NIH HHS F32 HL132532NIAID NIH HHS U01 AI122275NIH HHS UG3 OD023171
6 · The paper itself

Abstract

RNA-Sequencing data offers an opportunity to enable precision medicine, but most methods rely on gene expression alone. To date, no methodology exists to identify and interpret alternative splicing patterns within pathways for an individual patient. This study develops methodology and conducts computational experiments to test the hypothesis that pathway aggregation of subject-specific alternatively spliced genes (ASGs) can inform upon disease mechanisms and predict survival. We propose the N-of-1-

Indexed as

alternative splicingHellinger distanceisoformlocal false discovery ratepathwaysprecision medicineRNA-Seqsystems biology

Identifiers

PMID31143202
PMCPMC6521780

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.