Evidence map›Paper›PMID 31749990›Full record

ArticleJournal of translational science2019

A comparison of genetic sampling methodologies for candidate-gene analyses.

Jessie Sun, Steven R Tung, Danxin Wang, Joseph P Kitzmiller, Sakima Smith

Abstract read
In one paragraph

Article in Journal of translational science, 2019. 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

5 authors.

Jessie SunDepartment of Biological Chemistry, The Ohio State University, Columbus, Ohio, USA.
Steven R TungDepartment of Anesthesiology, The Ohio State University, Columbus, Ohio, USA.
Danxin WangCollege of Pharmacy, University of Florida, Gainesville, Florida, USA.
Joseph P KitzmillerThe Center for Pharmacogenomcis, The Ohio State University, Columbus, Ohio, USA.
Sakima SmithDepartment of Cardiovascular Medicine, The Ohio State University, Columbus, Ohio, USA.

Funding

Translational Candidate-Gene Studies of Simvastatin-Induced Myopathy in African AmericansR01MD011307 · NIMHD · OHIO STATE UNIVERSITY · PI SMITH, SAKIMA AHMAD · 2017 to 2021
$1.9M
NIMHD NIH HHS R01 MD011307
6 · The paper itself

Abstract

Much of the recent gains in knowledge regarding the influence of patient genetics on medication pharmacokinetics (drug absorption, distribution, metabolism and elimination) how patients process medications) and pharmacodynamics (drug response) have been attributed to the technologic advances in genetic testing methodologies and the involvement of large clinical data sets and biobanks. Indeed, Genome Wide Association Studies (GWAS) and Phenome Wide Association Studies (PWAS) along with ever-evolving biomedical informatics techniques and the expansion of the -omics sciences (

Identifiers

PMID31749990
PMCPMC6867604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.