Evidence map›Paper›PMID 35487368›Full record

ReviewThe journal of allergy and clinical immunology. In practice2022

Novel Analysis Methods to Mine Immune-Mediated Phenotypes and Find Genetic Variation Within the Electronic Health Record (Roadmap for Phenotype to Genotype: Immunogenomics).

Matthew S Krantz, V Eric Kerchberger, Wei-Qi Wei

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The journal of allergy and clinical immunology. In practice, 2022. 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

3 authors.

Matthew S KrantzDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn. Electronic address: matthew.s.krantz@vumc.org.
V Eric KerchbergerDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tenn.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tenn.

Funding

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
Tissue-specific functional genomics in the acute respiratory distress syndromeK01HL157755 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KERCHBERGER, VERN ERIC · 2021 to 2025
$845k
NHGRI NIH HHS U01 HG011181NHLBI NIH HHS K01 HL157755NHLBI NIH HHS R01 HL133786NIA NIH HHS R01 AG069900NIGMS NIH HHS R01 GM139891
6 · The paper itself

Abstract

The field of immunogenomics has the opportunity for accelerated genetic discovery aided by the maturation of electronic health records (EHRs) linked to DNA biobanks. Novel analysis methods in deep phenotyping of EHR data allow the full realization of the paired and increasingly dense genetic/phenotypic information available. This enables researchers to uncover genetic risk factors for the prevention and optimal treatment of immune-mediated diseases and immune-mediated adverse drug reactions. This article reviews the background of EHRs linked to DNA biobanks, potential applications to immunogenomic discovery, and current and emerging techniques in EHR-based deep phenotyping.

Indexed as

Electronic Health RecordsGenetic VariationGenotypeHumansPhenotypeBiomedical informaticsDeep phenotypingDNA biobanksElectronic health recordsImmune-mediated adverse drug reactionsImmune-mediated diseasesImmunogenomics

Identifiers

PMID35487368
PMCPMC9624141

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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.