Evidence map›Paper›PMID 30395168›Full record

ArticleBioinformatics (Oxford, England)2019

gwasurvivr: an R package for genome-wide survival analysis.

Abbas A Rizvi, Ezgi Karaesmen, Martin Morgan, Leah Preus, Junke Wang, Michael Sovic, Theresa Hahn, Lara E Sucheston-Campbell

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Multi-Ancestry Survival GWAS of Substance Use Initiation in the ABCD Study.medRxiv : the preprint server for health sciences · 2026
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  9. Common genetic variants nearmedRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
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  14. UBC9: a novel therapeutic target in papillary thyroid carcinoma.Journal of endocrinological investigation · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

25 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

8 authors.

Abbas A RizviDivision of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Ezgi KaraesmenDivision of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Martin MorganDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Leah PreusDivision of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Junke WangDivision of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Michael SovicDivision of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Theresa HahnDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Lara E Sucheston-CampbellDivision of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, USA.

Funding

Genetic susceptibility to unrelated donor stem cell transplant-related mortalityR01HL102278 · NHLBI · ROSWELL PARK CANCER INSTITUTE CORP · PI HAHN, THERESA E, SUCHESTON-CAMPBELL, LARA · 2010 to 2013
$5.0M
Genetic susceptibility to acute lymphocytic and myeloid leukemiaR03CA188733 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI HAHN, THERESA E, SUCHESTON-CAMPBELL, LARA · 2015 to 2016
$176k
NCI NIH HHS R03 CA188733NHLBI NIH HHS R01 HL102278
6 · The paper itself

Abstract

summaryTo address the limited software options for performing survival analyses with millions of SNPs, we developed gwasurvivr, an R/Bioconductor package with a simple interface for conducting genome-wide survival analyses using VCF (outputted from Michigan or Sanger imputation servers), IMPUTE2 or PLINK files. To decrease the number of iterations needed for convergence when optimizing the parameter estimates in the Cox model, we modified the R package survival; covariates in the model are first fit without the SNP, and those parameter estimates are used as initial points. We benchmarked gwasurvivr with other software capable of conducting genome-wide survival analysis (genipe, SurvivalGWAS_SV and GWASTools). gwasurvivr is significantly faster and shows better scalability as sample size, number of SNPs and number of covariates increases. AVAILABILITY AND IMPLEMENTATION: gwasurvivr, including source code, documentation and vignette are available at: http://bioconductor.org/packages/gwasurvivr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomeSoftwarePolymorphism, Single NucleotideSurvival Analysis

Identifiers

PMID30395168
PMCPMC7963072

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.