Evidence map›Paper›PMID 21407270›Full record

ArticleEuropean journal of human genetics : EJHG2011

Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration.

A Cecile J W Janssens, John P A Ioannidis, Sara Bedrosian, Paolo Boffetta, Siobhan M Dolan, Nicole Dowling, Isabel Fortier, Andrew N Freedman, Jeremy M Grimshaw, Jeffrey Gulcher and 15 more

Abstract readConsensus Statement
In one paragraph

Article in European journal of human genetics : EJHG, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
  3. The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Genetic risk prediction for CKD: a journey of a thousand miles.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2012
    Article
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

25 authors.

A Cecile J W JanssensDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands. a.janssens@erasmusmc.nl
John P A Ioannidis
Sara Bedrosian
Paolo Boffetta
Siobhan M Dolan
Nicole Dowling
Isabel Fortier
Andrew N Freedman
Jeremy M Grimshaw
Jeffrey Gulcher
Marta Gwinn
Mark A Hlatky
Holly Janes
Peter Kraft
Stephanie Melillo
Christopher J O'Donnell
Michael J Pencina
David Ransohoff
Sheri D Schully
Daniela Seminara
Deborah M Winn
Caroline F Wright
Cornelia M van Duijn
Julian Little
Muin J Khoury

Funding

Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
6 · The paper itself

Abstract

The rapid and continuing progress in gene discovery for complex diseases is fueling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by previous reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.

Indexed as

Genome-Wide Association StudyGenomicsHumansModels, GeneticRandomized Controlled Trials as Topic

Identifiers

PMID21407270
PMCPMC3083630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.