Evidence map›Paper›PMID 20819866›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.

Iftikhar J Kullo, Jin Fan, Jyotishman Pathak, Guergana K Savova, Zeenat Ali, Christopher G Chute

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03427489 (A Biorepository for Discovering Novel Biochemical and Genetic Markers of Coronary Heart Disease in Qatar), which is not on this map. Cited by 103 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 2 pooled it
19.0field-weighted citation impact, top 1% of its field
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.

NCT03427489 completednot on this map

A Biorepository for Discovering Novel Biochemical and Genetic Markers of Coronary Heart Disease in Qatar (QCBio)

TypeobservationalSponsorHamad Medical CorporationRan2013 to 2018Enrolled2,100ConditionsCoronary Heart Disease (CHD)
3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Evaluating Large Language Models in Extracting Cognitive Exam Dates and Scores.medRxiv : the preprint server for health sciences · 2024
    Article
  4. Article
  5. Article
  6. Genome-Wide Association Study of Peripheral Artery Disease.Circulation. Genomic and precision medicine · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation with the Johns Hopkins Adjusted Clinical Groups® System.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  20. Review

43 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Iftikhar J KulloDivision of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA. kullo.iftikhar@mayo.edu
Jin Fan
Jyotishman Pathak
Guergana K Savova
Zeenat Ali
Christopher G Chute
Mayo Clinic · US

Funding

EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
NHGRI NIH HHS U01 HG004599
6 · The paper itself

Abstract

backgroundThere is significant interest in leveraging the electronic medical record (EMR) to conduct genome-wide association studies (GWAS).

methodsA biorepository of DNA and plasma was created by recruiting patients referred for non-invasive lower extremity arterial evaluation or stress ECG. Peripheral arterial disease (PAD) was defined as a resting/post-exercise ankle-brachial index (ABI) less than or equal to 0.9, a history of lower extremity revascularization, or having poorly compressible leg arteries. Controls were patients without evidence of PAD. Demographic data and laboratory values were extracted from the EMR. Medication use and smoking status were established by natural language processing of clinical notes. Other risk factors and comorbidities were ascertained based on ICD-9-CM codes, medication use and laboratory data.

resultsOf 1802 patients with an abnormal ABI, 115 had non-atherosclerotic vascular disease such as vasculitis, Buerger's disease, trauma and embolism (phenocopies) based on ICD-9-CM diagnosis codes and were excluded. The PAD cases (66+/-11 years, 64% men) were older than controls (61+/-8 years, 60% men) but had similar geographical distribution and ethnic composition. Among PAD cases, 1444 (85.6%) had an abnormal ABI, 233 (13.8%) had poorly compressible arteries and 10 (0.6%) had a history of lower extremity revascularization. In a random sample of 95 cases and 100 controls, risk factors and comorbidities ascertained from EMR-based algorithms had good concordance compared with manual record review; the precision ranged from 67% to 100% and recall from 84% to 100%.

conclusionThis study demonstrates use of the EMR to ascertain phenocopies, phenotype heterogeneity and relevant covariates to enable a GWAS of PAD. Biorepositories linked to EMR may provide a relatively efficient means of conducting GWAS.

Indexed as

Electronic Health RecordsAgedAlgorithmsCase-Control StudiesComorbidityDatabases, FactualFemaleGenome-Wide Association StudyHumansMaleMedical RecordsMiddle AgedNatural Language ProcessingPeripheral Vascular DiseasesRisk FactorsUnited States

Identifiers

PMID20819866
PMCPMC2995686
OpenAlexW2121920862

What OpenQuestion holds

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Registered trials

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.