Evidence map›Paper›PMID 27116550›Full record

ArticleInvestigative ophthalmology & visual science2016

Genetic Association Analysis of Drusen Progression.

Joshua D Hoffman, Mark J J P van Grinsven, Chun Li, Milam Brantley, Josephine McGrath, Anita Agarwal, William K Scott, Stephen G Schwartz, Jaclyn Kovach, Margaret Pericak-Vance and 2 more

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Data Science in Translational Vision Science and Technology.Translational vision science & technology · 2021
    Article
  8. Article
  9. Genetic Susceptibility, Diet Quality, and Two-Step Progression in Drusen Size.Investigative ophthalmology & visual science · 2020
    Article
  10. Risk factors for progression of age-related macular degeneration.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2020
    Review
  11. 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

12 authors.

Joshua D HoffmanCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States.
Mark J J P van GrinsvenDiagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
Chun LiDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States.
Milam BrantleyDepartment of Ophthalmology and Visual Sciences, Vanderbilt University, Nashville, Tennessee, United States.
Josephine McGrathCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States.
Anita AgarwalDepartment of Ophthalmology and Visual Sciences, Vanderbilt University, Nashville, Tennessee, United States.
William K ScottJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida, United States.
Stephen G SchwartzOphthalmology, Bascom Palmer Eye Institute, Retina Center of Naples, Naples, Florida, United States.
Jaclyn KovachBascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, Florida, United States.
Margaret Pericak-VanceJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida, United States.
Clara I SanchezDiagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
Jonathan L HainesCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States 8Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, United States.

Funding

Unifying Genetics Epidemiology of Macular DegenerationR01EY012118 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI AGARWAL, ANITA, HAINES, JONATHAN L · 2006 to 2015
$12.2M
UNIFYING GENETICS EPIDEMIOLOGY OF MACULAR DEGENERATIONU10EY012118 · NEI · DUKE UNIVERSITY · PI PERICAK-VANCE, MARGARET A · 2000 to 2004
$5.8M
Training Program on Genetic Variation and Human PhenotypesT32GM080178 · NIGMS · VANDERBILT UNIVERSITY · PI COX, NANCY J, SAMUELS, DAVID C · 2007 to 2021
$3.1M
Genetic Studies of Successful Aging in the AmishR01AG019726 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCOTT, WILLIAM K. · 2003 to 2007
$2.9M
Modeling Macular Degeneration Progression Using Quantitative PhenotypesF31AG044089 · NIA · VANDERBILT UNIVERSITY · PI HOFFMAN, JOSHUA D. · 2013 to 2014
$75k
NEI NIH HHS EY012118NEI NIH HHS R01 EY012118NEI NIH HHS U10 EY012118NIA NIH HHS AG019726NIA NIH HHS AG044089NIA NIH HHS F31 AG044089NIA NIH HHS R01 AG019726NIGMS NIH HHS T32 GM080178PHS HHS A6019085
6 · The paper itself

Abstract

purposeAge-related macular degeneration is a common form of vision loss affecting older adults. The etiology of AMD is multifactorial and is influenced by environmental and genetic risk factors. In this study, we examine how 19 common risk variants contribute to drusen progression, a hallmark of AMD pathogenesis.

methodsExome chip data was made available through the International AMD Genomics Consortium (IAMDGC). Drusen quantification was carried out with color fundus photographs using an automated drusen detection and quantification algorithm. A genetic risk score (GRS) was calculated per subject by summing risk allele counts at 19 common genetic risk variants weighted by their respective effect sizes. Pathway analysis of drusen progression was carried out with the software package Pathway Analysis by Randomization Incorporating Structure.

resultsWe observed significant correlation with drusen baseline area and the GRS in the age-related eye disease study (AREDS) dataset (ρ = 0.175, P = 0.006). Measures of association were not statistically significant between drusen progression and the GRS (P = 0.54). Pathway analysis revealed the cell adhesion molecules pathway as the most highly significant pathway associated with drusen progression (corrected P = 0.02).

conclusionsIn this study, we explored the potential influence of known common AMD genetic risk factors on drusen progression. Our results from the GRS analysis showed association of increasing genetic burden (from 19 AMD associated loci) to baseline drusen load but not drusen progression in the AREDS dataset while pathway analysis suggests additional genetic contributors to AMD risk.

Indexed as

Genetic Predisposition to DiseaseAgedDisease ProgressionFemaleFundus OculiGenetic Association StudiesGenotyping TechniquesHumansMacular DegenerationMaleOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideRetinal DrusenRisk Factors

Identifiers

PMID27116550
PMCPMC4849854

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Registered trials

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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.