Evidence map›Paper›PMID 23326517›Full record

SynthesisPloS one2013

Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis.

Elizabeth G Holliday, Albert V Smith, Belinda K Cornes, Gabriëlle H S Buitendijk, Richard A Jensen, Xueling Sim, Thor Aspelund, Tin Aung, Paul N Baird, Eric Boerwinkle and 36 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
15.5field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

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11 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

46 authors at 20 institutions in 7 countries.

Elizabeth G HollidayCentre for Clinical Epidemiology and Biostatistics, and School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia. Liz.Holliday@newcastle.edu.au
Albert V Smith
Belinda K Cornes
Gabriëlle H S Buitendijk
Richard A Jensen
Xueling Sim
Thor Aspelund
Tin Aung
Paul N Baird
Eric Boerwinkle
Ching Yu Cheng
Cornelia M van Duijn
Gudny Eiriksdottir
Vilmundur Gudnason
Tamara Harris
Alex W Hewitt
Michael Inouye
Fridbert Jonasson
Barbara E K Klein
Lenore Launer
Xiaohui Li
Gerald Liew
Thomas Lumley
Patrick McElduff
Barbara McKnight
Paul Mitchell
Bruce M Psaty
Elena Rochtchina
Jerome I Rotter
Rodney J Scott
Wanting Tay
Kent Taylor
Yik Ying Teo
André G Uitterlinden
Ananth Viswanathan
Sophia Xie
Wellcome Trust Case Control Consortium 2
Johannes R Vingerling
Caroline C W Klaver
E Shyong Tai
David Siscovick
Ronald Klein
Mary Frances Cotch
Tien Y Wong
John Attia
Jie Jin Wang
Erasmus MC · NLNational University of Singapore · SGThe University of Sydney · AUCedars-Sinai Medical Center · USCentre for Eye Research Australia · AUNational Institutes of Health · USSingapore National Eye Center · SGUniversity of Iceland · ISUniversity of Washington · USUniversity of Newcastle Australia · AUUniversity of Wisconsin–Madison · USBaylor College of Medicine · USGroup Health Cooperative · USHunter Medical Research Institute · AUIcelandic Heart Association · ISJohn Hunter Hospital · AUMoorfields Eye Hospital · GBReykjavík University · ISThe University of Melbourne · AUUniversity of Auckland · NZ

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
CLINICAL PROJECT: Age, Gene/Environment Susceptibility Study on the Multi-omics of Aging: A clinical epidemiologic prospective studyZIAAG007380 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$6.1M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Cancer Research UK 4584Intramural NIH HHS Z01 EY000401Intramural NIH HHS Z01 EY000426Intramural NIH HHS Z99 EY999999Intramural NIH HHS ZIA AG007380Intramural NIH HHS ZIA EY000401Intramural NIH HHS ZIA EY000426NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1RR025005NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HL080295NHLBI NIH HHS HL087652NHLBI NIH HHS HL105756NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01-HC-45133NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-85239NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL59367NHLBI NIH HHS U01 HL080295NIA NIH HHS AG-023629NIA NIH HHS AG-027058NIA NIH HHS AG-15928NIA NIH HHS AG-20098NIA NIH HHS N01 AG012100NIA NIH HHS N01-AG-12100NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R56 AG020098NIA NIH HHS R56 AG023629NIDDK NIH HHS DK063491NIDDK NIH HHS P30 DK063491PHS HHS HHSN268200625226CPHS HHS ZIAAG007380PHS HHS ZIAEY000401Wellcome Trust 085475/08/ZWellcome Trust 085475/B/08/ZWellcome Trust 090532
6 · The paper itself

Abstract

Genetic factors explain a majority of risk variance for age-related macular degeneration (AMD). While genome-wide association studies (GWAS) for late AMD implicate genes in complement, inflammatory and lipid pathways, the genetic architecture of early AMD has been relatively under studied. We conducted a GWAS meta-analysis of early AMD, including 4,089 individuals with prevalent signs of early AMD (soft drusen and/or retinal pigment epithelial changes) and 20,453 individuals without these signs. For various published late AMD risk loci, we also compared effect sizes between early and late AMD using an additional 484 individuals with prevalent late AMD. GWAS meta-analysis confirmed previously reported association of variants at the complement factor H (CFH) (peak P = 1.5×10(-31)) and age-related maculopathy susceptibility 2 (ARMS2) (P = 4.3×10(-24)) loci, and suggested Apolipoprotein E (ApoE) polymorphisms (rs2075650; P = 1.1×10(-6)) associated with early AMD. Other possible loci that did not reach GWAS significance included variants in the zinc finger protein gene GLI3 (rs2049622; P = 8.9×10(-6)) and upstream of GLI2 (rs6721654; P = 6.5×10(-6)), encoding retinal Sonic hedgehog signalling regulators, and in the tyrosinase (TYR) gene (rs621313; P = 3.5×10(-6)), involved in melanin biosynthesis. For a range of published, late AMD risk loci, estimated effect sizes were significantly lower for early than late AMD. This study confirms the involvement of multiple established AMD risk variants in early AMD, but suggests weaker genetic effects on the risk of early AMD relative to late AMD. Several biological processes were suggested to be potentially specific for early AMD, including pathways regulating RPE cell melanin content and signalling pathways potentially involved in retinal regeneration, generating hypotheses for further investigation.

Indexed as

Genome-Wide Association StudyApolipoproteins EComplement Factor HGenetic Predisposition to DiseaseGenotypeHumansKruppel-Like Transcription FactorsMacular DegenerationNerve Tissue ProteinsPolymorphism, Single NucleotideProteinsRisk FactorsZinc Finger Protein Gli3Apolipoproteins EARMS2 protein, humanComplement Factor HGLI3 protein, humanKruppel-Like Transcription FactorsNerve Tissue ProteinsProteinsZinc Finger Protein Gli3

Identifiers

PMID23326517
PMCPMC3543264
OpenAlexW2144342124

What OpenQuestion holds

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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.