Evidence map›Paper›PMID 29906443›Full record

ArticleCell2018

Disease Heritability Studies Harness the Healthcare System to Achieve Massive Scale.

Joshua C Denny, Jonathan D Mosley

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. From Big Data to Precision Medicine.Frontiers in medicine · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: josh.denny@vanderbilt.edu.
Jonathan D MosleyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

American Heart Association-American Stroke Association 16FTF30130005
6 · The paper itself

Abstract

Heritability studies are essential for defining genetic influences on disease risk and trait variability. Polubriaginof et al. show how massive amounts of data contained in electronic health records can be used for heritability studies on hundreds of phenotypes. Mining emergency contact information with comparison to existing gold standards showcases the broad utility of the approach.

Indexed as

PhenotypeMedical Records

Identifiers

PMID29906443

What OpenQuestion holds

Textmetadata
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.