Evidence map›Paper›PMID 31053132›Full record

ArticleBMC medical genomics2019

Systematic characterization of germline variants from the DiscovEHR study endometrial carcinoma population.

Jason E Miller, Raghu P Metpally, Thomas N Person, Sarathbabu Krishnamurthy, Venkata Ramesh Dasari, Manu Shivakumar, Daniel R Lavage, Adam M Cook, David J Carey, Marylyn D Ritchie and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 54% 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.

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, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Jason E MillerDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Raghu P MetpallyBiomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, 17822, USA.
Thomas N PersonBiomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, 17822, USA.
Sarathbabu KrishnamurthyWeis Center for Research, Geisinger Medical Center, Danville, PA, 17822, USA.
Venkata Ramesh DasariWeis Center for Research, Geisinger Medical Center, Danville, PA, 17822, USA.
Manu ShivakumarBiomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, 17822, USA.
Daniel R LavageBiomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, 17822, USA.
Adam M CookWeis Center for Research, Geisinger Medical Center, Danville, PA, 17822, USA.
David J CareyWeis Center for Research, Geisinger Medical Center, Danville, PA, 17822, USA.
Marylyn D RitchieDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Dokyoon KimBiomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, 17822, USA.
Radhika GogoiWeis Center for Research, Geisinger Medical Center, Danville, PA, 17822, USA. radhika.gogoi@gmail.com.
DiscovEHR collaboration
Geisinger Medical Center · USGeisinger Health System · USUniversity of Pennsylvania · US

Funding

Postdoctoral Training Program in Genomic MedicineT32HG009495 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Katherine L. Nathanson, Bogdan Pasaniuc · 2017 to 2026
$4.2M
NHGRI NIH HHS T32 HG009495
6 · The paper itself

Abstract

backgroundEndometrial cancer (EMCA) is the fifth most common cancer among women in the world. Identification of potentially pathogenic germline variants from individuals with EMCA will help characterize genetic features that underlie the disease and potentially predispose individuals to its pathogenesis.

methodsThe Geisinger Health System's (GHS) DiscovEHR cohort includes exome sequencing on over 50,000 consenting patients, 297 of whom have evidence of an EMCA diagnosis in their electronic health record. Here, rare variants were annotated as potentially pathogenic.

resultsEight genes were identified as having increased burden in the EMCA cohort relative to the non-cancer control cohort. None of the eight genes had an increased burden in the other hormone related cancer cohort from GHS, suggesting they can help characterize the underlying genetic variation that gives rise to EMCA. Comparing GHS to the cancer genome atlas (TCGA) EMCA germline data illustrated 34 genes with potentially pathogenic variation and eight unique potentially pathogenic variants that were present in both studies. Thus, similar germline variation among genes can be observed in unique EMCA cohorts and could help prioritize genes to investigate for future work.

conclusionIn summary, this systematic characterization of potentially pathogenic germline variants describes the genetic underpinnings of EMCA through the use of data from a single hospital system.

Indexed as

Electronic Health RecordsGerm-Line MutationAdultAgedAged, 80 and overCohort StudiesEndometrial NeoplasmsExome SequencingFemaleHumansMiddle AgedDiscovEHREndometrial CancerGermline variantsTCGAUterine CancerWhole exome sequencing

Identifiers

PMID31053132
PMCPMC6499978
OpenAlexW2946852815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.