Evidence map›Paper›PMID 33320170›Full record

ArticleInvestigative ophthalmology & visual science2020

The Effect of Genetic Variants Associated With Age-Related Macular Degeneration Varies With Age.

Tina Schick, Laura Lorés-Motta, Lebriz Altay, Lars G Fritsche, Anneke I den Hollander, Sascha Fauser

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. The interactions betweenMolecular vision · 2024
    Article
  6. Characterization of polymorphisms inMolecular biology research communications · 2022
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  7. Article
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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

6 authors at 6 institutions in 4 countries.

Tina SchickAugenZentrum Siegburg, MVZ ADTC Siegburg GmbH, Siegburg, Germany.
Laura Lorés-MottaDepartment of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands.
Lebriz AltayDepartment of Ophthalmology, University Hospital of Cologne, Cologne, Germany.
Lars G FritscheCenter for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.
Anneke I den HollanderDepartment of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands.
Sascha FauserDepartment of Ophthalmology, University Hospital of Cologne, Cologne, Germany.
Michigan United · USRadboud University Medical Center · NLRadboud University Nijmegen · NLRoche (Switzerland) · CHTextilforschungsinstitut Thüringen-Vogtland · DEUniversity Hospital Cologne · DE

Funding

International Advancing genomics through the AMD Genomics Consortium (IAMDGC)R01EY022310 · NEI · VANDERBILT UNIVERSITY · PI BLANTON, SUSAN HALLORAN, HAINES, JONATHAN L · 2012 to 2024
$4.9M
NEI NIH HHS R01 EY022310
6 · The paper itself

Abstract

Purpose: The prevalence of age-related macular degeneration (AMD) increases dramatically with age. This large collaborative study investigates the effects of 51 late-AMD-associated genetic variants in different ages, focusing on individuals above the age of 90 years. Methods: The study included 27,996 individuals of the International AMD Genomics Consortium; 14,539 showed late AMD (51.9%) and 13,457 were controls (48.1%). Four age groups were compiled: 60 to 69 years, n = 6514, AMD = 2210 (33.9%); 70 to 79 years, n = 12228, AMD = 6217 (51.7%); 80 to 89 years, n = 8285, AMD = 5326 (64.3%); and ≥90 years, n = 969, AMD = 686 (70.8%). The effect sizes of 51 AMD-associated genetic variants were calculated for all age groups and were compared among the age groups. Results: Six variants were associated with late AMD in individuals ≥ 90 years of age (P ≤ 0.0006). For rs10922109 and rs570618 (both in CFH), the minor allele (MA) was protective, and minor allele frequency (MAF) increased with age in cases and controls. For rs116503776 in C2/CFB/SKIV2L, the MA was protective, and MAF increased in cases. For rs3750846 in ARMS2/HTRA1, the MA increased risk, and MAF was lower in cases with increasing age. For rs6565597 in NPLOC4/TSPAN10, the MA increased risk. For rs5754227 in SYN3/TIMP3, the MA was protective, and there was no consistent variation in MAF with age. Variants in CFH and ARMS2 showed lower effect sizes at greater age. Interaction analysis showed strong age-related effects for rs570618 (P = 2.24 × 10-7) and rs3750846 (P = 0.001). Total genetic risk was lower in individuals ≥ 90 years old (area under the curve [AUC], 0.795) than in those 70 to 79 years old (AUC, 0.831; P = 0.03). Conclusions: Effect sizes and MAF of genetic risk factors for late AMD differed among the age groups. These results could guide future work on AMD risk assessment in older individuals.

Indexed as

AgedAge FactorsAllelesCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenetic VariationHumansMacular DegenerationMaleMiddle AgedRisk Factors

Identifiers

PMID33320170
PMCPMC7745630
OpenAlexW3111715473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.