Evidence map›Paper›PMID 34217153›Full record

ArticleClinical pharmacology and therapeutics2021

Machine Learning Challenges in Pharmacogenomic Research.

Wei-Qi Wei, Juan Zhao, Dan M Roden, Josh F Peterson

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Juan ZhaoDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Dan M RodenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Funding

Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PHILLIPS, ELIZABETH · 2015 to 2019
$13.0M
Vanderbilt/Meharry Initiative for Minority Student DvptR25GM062459 · NIGMS · VANDERBILT UNIVERSITY · PI VELEZ EDWARDS, DIGNA R · 2002 to 2020
$10.4M
Vanderbilt Genome-Electronic Records (VGER) ProjectU01HG011181 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAN M RODEN, Digna R Velez Edwards · 2020 to 2026
$7.0M
Drug repositioning for Alzheimer's disease via genetics, electronic health records, and human iPSC modelsR01AG069900 · NIA · VANDERBILT UNIVERSITY · PI LI, BINGSHAN, WEI, WEI-QI · 2021 to 2025
$4.0M
PheMAP: Measured, Automated Profile to Facilitate High Throughput PhenotypingR01GM139891 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2021 to 2024
$1.7M
Exploring Statin Pleiotropic Effects within a Very Large EHR Cohort - Diversity SupplementR01HL133786 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2017 to 2020
$1.7M
NHGRI NIH HHS U01 HG011181NHLBI NIH HHS R01 HL133786NIA NIH HHS R01 AG069900NIGMS NIH HHS P50 GM115305NIGMS NIH HHS R01 GM139891NIGMS NIH HHS R25 GM062459
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsElectronic Health RecordsGenetic VariationGenome, HumanHumansMachine LearningPharmacogeneticsResearch

Identifiers

PMID34217153
PMCPMC8376798

What OpenQuestion holds

Textmetadata
LicenceTDM
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.