Evidence map›Paper›PMID 26662796›Full record

ArticleHuman molecular genetics2016

Candidate genetic modifiers of retinitis pigmentosa identified by exploiting natural variation in Drosophila.

Clement Y Chow, Keegan J P Kelsey, Mariana F Wolfner, Andrew G Clark

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A recombinantbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The ZnDevelopmental cell · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. An Unusual Presentation of Novel Missense Variant inCurrent issues in molecular biology · 2023
    Article
  19. Article
  20. Article

1 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

4 authors at 1 institution in 1 country.

Clement Y ChowDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA and Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, USA cchow@genetics.utah.edu.
Keegan J P KelseyDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA and.
Mariana F WolfnerDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA and.
Andrew G ClarkDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA and.
Cornell University · US

Funding

TAKASHIMA DIVERSITY SUPPLEMENT TO: REGULATION OF GAMETE USE AND NEURAL PATHWAYS IN REPRODUCTIONR01HD059060 · NICHD · CORNELL UNIVERSITY · PI ANDREW G CLARK, Mariana Federica Wolfner · 2009 to 2026
$5.8M
Reproductive Sciences and Genomics Training ProgramT32HD052471 · NICHD · CORNELL UNIVERSITY · PI ROBERSON, MARK S · 2007 to 2016
$2.0M
NICHD NIH HHS R01 HD059060NICHD NIH HHS T32 HD052471
6 · The paper itself

Abstract

Individuals carrying the same pathogenic mutation can present with a broad range of disease outcomes. While some of this variation arises from environmental factors, it is increasingly recognized that the background genetic variation of each individual can have a profound effect on the expressivity of a pathogenic mutation. In order to understand this background effect on disease-causing mutations, studies need to be performed across a wide range of backgrounds. Recent advancements in model organism biology allow us to test mutations across genetically diverse backgrounds and identify the genes that influence the expressivity of a mutation. In this study, we used the Drosophila Genetic Reference Panel, a collection of ∼200 wild-derived strains, to test the variability of the retinal phenotype of the Rh1(G69D) Drosophila model of retinitis pigmentosa (RP). We found that the Rh1(G69D) retinal phenotype is quite a variable quantitative phenotype. To identify the genes driving this extensive phenotypic variation, we performed a genome-wide association study. We identified 106 candidate genes, including 14 high-priority candidates. Functional testing by RNAi indicates that 10/13 top candidates tested influence the expressivity of Rh1(G69D). The human orthologs of the candidate genes have not previously been implicated as RP modifiers and their functions are diverse, including roles in endoplasmic reticulum stress, apoptosis and retinal degeneration and development. This study demonstrates the utility of studying a pathogenic mutation across a wide range of genetic backgrounds. These candidate modifiers provide new avenues of inquiry that may reveal new RP disease mechanisms and therapies.

Indexed as

AnimalsDrosophilaFemaleGenetic Association StudiesGenetic VariationGenome-Wide Association StudyGenotypeMaleModels, AnimalMutationPedigreePhenotypeRetinaRetinitis PigmentosaRhodopsinRhodopsin

Identifiers

PMID26662796
PMCPMC4743685
OpenAlexW2258515607

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.