Seven new loci associated with age-related macular degeneration
Open accessAbstract
Age-related macular degeneration (AMD) is a common cause of blindness in older individuals. To accelerate the understanding of AMD biology and help design new therapies, we executed a collaborative genome-wide association study, including >17,100 advanced AMD cases and >60,000 controls of European and Asian ancestry. We identified 19 loci associated at P < 5 × 10−8. These loci show enrichment for genes involved in the regulation of complement activity, lipid metabolism, extracellular matrix remodeling and angiogenesis. Our results include seven loci with associations reaching P < 5 × 10−8 for the first time, near the genes COL8A1-FILIP1L, IER3-DDR1, SLC16A8, TGFBR1, RAD51B, ADAMTS9 and B3GALTL. A genetic risk score combining SNP genotypes from all loci showed similar ability to distinguish cases and controls in all samples examined. Our findings provide new directions for biological, genetic and therapeutic studies of AMD.
AI snapshot
Written from the paper’s full text.
TL;DR
This collaborative genome-wide association meta-analysis identified 19 AMD-associated loci at p<5×10−8, including 7 new loci, in >17,100 advanced AMD cases and >60,000 controls. The findings implicate complement, lipid metabolism, extracellular matrix remodeling, and angiogenesis pathways and provide a genetic risk score that distinguishes cases from controls.
Key findings
- The study identified 19 genomic loci associated with AMD at p<5×10−8, including 7 loci reaching that threshold for the first time: COL8A1/FILIP1L, IER3/DDR1, SLC16A8, TGFBR1, RAD51B, ADAMTS9/MIR548A2, and B3GALTL.
- A genetic risk score combining SNPs from all loci had AUC=.52 using only new loci and AUC=.74 including new and previously reported loci.
- The 19 loci accounted for 10–30% of variability in disease risk depending on assumed AMD prevalence (1–10%), corresponding to 15–65% of total genetic contribution; new loci accounted for 0.5–1.0% of total heritability, and secondary signals accounted for 1.5–3.0%.
- Subtype analyses showed ARMS2 risk alleles preferentially associated with neovascular AMD (ORNV=2.97, ORGA=2.50, pdifference=.0008), whereas CFH risk alleles preferentially associated with geographic atrophy (ORNV=2.34, ORGA=2.80, pdifference=.0006).
Methods
- The AMD Gene Consortium, 18 research groups, performed a meta-analysis of genome-wide association scans combining >7,600 advanced AMD cases and >50,000 controls, followed by genotyping of 32 promising variants in >9,500 additional cases and >8,200 controls, for a total of >17,100 cases and >60,000 controls.
- Discovery and follow-up results were meta-analyzed using inverse-variance weighted fixed effects in METAL, with genomic control correction; analyses included age adjustment, sex stratification, AMD subtype stratification, and European- versus Asian-ancestry samples.
- Extended analyses included conditional analysis for independent signals, pairwise interaction tests among 19 index SNPs, genetic risk score construction with leave-one-out cross-validation, RNA-sequencing expression analysis in retina and RPE, and pathway enrichment using Ingenuity Pathway Analysis and INRICH.
Limitations
- The paper states that differences in genotyping methods, quality control steps, and imputation strategies between samples might have a minor effect on results, and that more uniform approaches across larger sample sizes might uncover more signals.
- The paper states that disease prevalence is difficult to estimate in this sample because it includes cases and controls of different ages and collected through a variety of ascertainment schemes, which affects estimates of explained risk.
- The paper notes that the data do not directly answer whether HTRA1 or ARMS2 is the causal gene in the 10q26 locus; an evident limitation is that the risk score using only the new loci had low discrimination (AUC=.52).
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 56 cited sources checked · 0 supported · 0 flagged
- Findingown data
The set includes seven loci reaching p<5×10−8 for the first time.
“In addition, the set includes seven loci reaching p<5×10−8 for the first time.”
Quote in the paperSubstantial claim - Findingcitation
Separate analysis of NV and GA cases showed ARMS2 risk alleles preferentially associated with risk of NV (ORNV=2.97, ORGA=2.50, pdifference=.0008).
“Consistent with previous reports17,29,30, separate analysis of NV and GA cases showed ARMS2 risk alleles preferentially associated with risk of NV (ORNV=2.97, ORGA=2.50, pdifference=.0008)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [17] Chen, W. et al. Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration. Proc. Natl. Acad. Sci. USA 107, 7401–7406 (2010). source
Not checked in the free run.
- cites [29] Sobrin, L. et al. ARMS2/HTRA1 locus can confer differential susceptibility to the advanced subtypes of age-related macular degeneration. Am. J. Ophthalmol. 151, 345–352 (2011). source
Not checked in the free run.
- cites [30] Seddon, J.M. et al. Association of CFH Y402H and LOC387715 A69S with progression of age-related macular degeneration. J. Am. Med. Assoc. 297, 1793–1800 (2007). source
Not checked in the free run.
- Findingown data
Joint analysis of discovery and follow-up studies resulted in 19 loci reaching p<5×10−8.
“Joint analysis of discovery and follow-up studies27 resulted in 19 loci reaching p<5×10−8 (Figure 1, Table 2, Supplementary Table 5).”
Quote in the paperSubstantial claim - Findingown data
Sub-analyses of the full GWAS dataset (age-adjustment, separating NV and GA cases, men and women, and European- and Asian-ancestry samples separately) did not uncover additional loci reaching p<5×10−8.
“These sub-analyses of the full GWAS dataset did not uncover additional loci reaching p<5×10−8; furthermore heterogeneity near CFH and ARMS2 remained significant in all sub-analyses (I2>65%, p <.001).”
- Also stated in: § Abstract · plain
“In our sample, subtype specific GWAS analyses considering GA or NV cases only did not identify additional loci.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
These 19 loci include all susceptibility loci previously reaching p<5×10−8, except the 4q12 gene cluster for which association was reported in a Japanese population.
“These 19 loci include all susceptibility loci previously reaching p<5×10−8, except the 4q12 gene cluster for which association was reported in a Japanese population.”
Quote in the paperSubstantial claim
- Findingown data
Heterogeneity near CFH and ARMS2 remained significant in all sub-analyses (I2>65%, p<.001).
“furthermore heterogeneity near CFH and ARMS2 remained significant in all sub-analyses (I2>65%, p <.001).”
Quote in the paperNot a substantial claim - Findingown data
Significant heterogeneity between studies was observed only for loci near ARMS2 (I2=75.7%, p<1×10−6) and near CFH (I2=85.4%, p<1×10−6).
“We observed significant (p<.05/19) heterogeneity only for loci near ARMS2 (I2=75.7%, p<1×10−6) and near CFH (I2=85.4%, p<1×10−6).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Higgins, J.P., Thompson, S.G., Deeks, J.J. & Altman, D.G. Measuring inconsistency in meta-analyses. Br. Med. J. 327, 557–560 (2003). source
Not checked in the free run.
- Findingown data
In four of these loci, the independently associated variants mapped very close (within <60kb) to the original signal.
“In four of these loci, the independently associated variants mapped very close (within <60kb) to the original signal.”
Quote in the paperNot a substantial claim - Findingown data
Ingenuity Pathway Analysis highlighted several biological pathways, particularly the complement system and atherosclerotic signaling, to be enriched in the resulting set of 90 genes.
“Ingenuity Pathway Analysis (Ingenuity Systems, Redwood, CA) highlighted several biological pathways, particularly the complement system and atherosclerotic signaling, to be enriched in the resulting set of 90 genes (Table 3, Supplementary Table 9).”
Quote in the paperSubstantial claim - Findingown data
Of 19 independent risk loci, three had no genes with expressed transcripts in either old or young retina.
“Of 19 independent risk loci, three had no genes with expressed transcripts in either old or young retina.”
Quote in the paperNot a substantial claim - Findingown data
All complement genes with detectable expression in the retina or RPE experiments showed higher expression levels in older tissue.
“In addition to C3 and CFH, all the complement genes with detectable expression in the retina or RPE experiments showed higher expression levels in older tissue.”
Quote in the paperSubstantial claim - Findingown data
In chromosome 6q22, index SNP rs3812111 is a perfect proxy for a coding variant in COL10A1.
“In chromosome 6q22, index SNP rs3812111 is a perfect proxy for a coding variant in COL10A1, a collagen protein that could be important in maintaining the structure and function of the extra-cellular matrix.”
Quote in the paperSubstantial claim - Findingcitation
Using previously published data, increased C3 expression was observed in adult RPE compared to fetal RPE (p=.0008).
“Using previously published data45, we also examined the expression of associated genes in fetal and adult retinal pigment epithelium (RPE). This revealed increased C3 expression in adult RPE compared to fetal RPE (p=.0008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Strunnikova, N.V. et al. Transcriptome analysis and molecular signature of human retinal pigment epithelium. Hum. Mol. Genet. 19, 2468–2486 (2010). source
Not checked in the free run.
- Findingown data
The variants representing the peak of association at loci previously reaching genomewide significance account for the bulk of this variability.
“The variants representing the peak of association at loci previously reaching genomewide significance account for the bulk of this variability:”
Quote in the paperSubstantial claim - Findingcitation
Using a model that assumes an underlying normally distributed but unobserved disease risk score or liability, the nineteen loci described here account for between 10% (if AMD prevalence is close to 1%) and 30% (if AMD prevalence is closer to 10%) of the variability in disease risk (corresponding to 15-65% of the total genetic contribution to AMD).
“Using a model that assumes an underlying normally distributed but unobserved disease risk score or liability49, the nineteen loci described here account for between 10% (if AMD prevalence is close to 1%) and 30% (if AMD prevalence is closer to 10%) of the variability in disease risk (corresponding to 15–65% of the total genetic contribution to AMD).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [48] Manolio, T.A. et al. Finding the missing heritability of complex diseases. Nature 461, 747–753 (2009). source
Not checked in the free run.
- cites [49] So, H.C., Gui, A.H., Cherny, S.S. & Sham, P.C. Evaluating the heritability explained by known susceptibility variants: a survey of ten complex diseases. Genet. Epidemiol. 35, 310–317 (2011). source
Not checked in the free run.
- The authors state this as an assumption: An underlying normally distributed but unobserved disease risk score (liability) underlies AMD risk.
- Findingown data
In chromosome 4q25, index SNP rs4698775 is in strong linkage disequilibrium (r2=.88) with a potentially protein damaging variant in CCDC109B.
“In chromosome 4q25, index SNP rs4698775 is in strong linkage disequilibrium (r2=.88) with a potentially protein damaging variant in CCDC109B36, a coiled coil domain containing protein that may be involved in the regulation of gene expression.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Adzhubei, I.A. et al. A method and server for predicting damaging missense mutations. Nat. Methods 7, 248–249 (2010). source
Not checked in the free run.
- Findingown data
CFH risk alleles preferentially associated with risk of GA (ORNV=2.34, ORGA=2.80, pdifference=.0006).
“whereas CFH risk alleles preferentially associated with risk of GA (ORNV=2.34, ORGA=2.80, pdifference=.0006).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [17] Chen, W. et al. Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration. Proc. Natl. Acad. Sci. USA 107, 7401–7406 (2010). source
Not checked in the free run.
- cites [29] Sobrin, L. et al. ARMS2/HTRA1 locus can confer differential susceptibility to the advanced subtypes of age-related macular degeneration. Am. J. Ophthalmol. 151, 345–352 (2011). source
Not checked in the free run.
- cites [30] Seddon, J.M. et al. Association of CFH Y402H and LOC387715 A69S with progression of age-related macular degeneration. J. Am. Med. Assoc. 297, 1793–1800 (2007). source
Not checked in the free run.
- Findingown data
One quarter of associated variants altered protein sequence, either directly (N=2) or through linkage disequilibrium (r2>.6; N=3) with a nearby non-synonymous variant.
“One quarter of associated variants altered protein sequence, either directly (N=2) or through linkage disequilibrium (r2>.6; N=3) with a nearby non-synonymous variant (Supplementary Table 7).”
Quote in the paperSubstantial claim - Findingown data
Analysis of publicly available data identified a single strong association (r2=.99) between rs10490924, a coding variant in ARMS2, and a 3′ UTR indel polymorphism associated with ARMS2 mRNA instability.
“This analysis identified a single strong association (r2=.99), between rs10490924, a coding variant in the ARMS2 gene which is the peak of association in 10q26, and a 3′ UTR indel polymorphism associated with ARMS2 mRNA instability40.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [38] Wellcome Trust Case Control Consortium.. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls. Nature 464, 713–720 (2010). source
Not checked in the free run.
- cites [39] 1000 Genomes Project Consortium. A map of human genome variation from population scale sequencing. Nature 467, 1061–1073 (2010). source
Not checked in the free run.
- cites [40] Fritsche, L.G. et al. Age-related macular degeneration is associated with an unstable ARMS2 (LOC387715) mRNA. Nat. Genet. 40, 892–896 (2008). source
Not checked in the free run.
- Findingown data
Individuals carrying risk alleles at both CFH and C2/CFB loci were at slightly higher risk of disease than expected.
“Individuals carrying risk alleles at both these loci where at slightly higher risk of disease than expected.”
Quote in the paperSubstantial claim - Study design and conductown data
Inspection of Q-Q plots and the genomic control value (λGC=1.06) suggest that unmodeled population stratification does not significantly impact our findings.
“Inspection of Q-Q plots (Supplementary Figure 1) and the genomic control value (λGC=1.06) suggest that unmodeled population stratification does not significantly impact our findings (Supplementary Table 4 for details).”
Quote in the paperSubstantial claim - Interpretationreasoning
Since index SNP rs10490924 is also in strong disequilibrium (r2=.90) with a nearby SNP, rs11200638, that regulates HTRA1, our data does not directly answer whether HTRA1 or ARMS2 is the causal gene in this locus.
“Since index SNP rs10490924 is also in strong disequilibrium (r2=.90) with a nearby SNP, rs11200638, that regulates HTRA141, our data does not directly answer whether HTRA1 or ARMS2 is the causal gene in this locus.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Dewan, A. et al. HTRA1 promoter polymorphism in wet age-related macular degeneration. Science 314, 989–992 (2006). source
Not checked in the free run.
- Interpretationown data
Each locus can harbor multiple susceptibility alleles.
“This shows each locus can harbor multiple susceptibility alleles, encouraging searches for rare variants that elucidate gene function in these regions33,34.”
Quote in the paperSubstantial claim - Premisecitation
The proportion of variability in risk of AMD due to genes (heritability) has been estimated at 45-70%.
“The proportion of the variability in the risk of AMD that is due to genes, or heritability, has been estimated at 45–70% 2.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Seddon, J.M., Cote, J., Page, W.F., Aggen, S.H. & Neale, M.C. The US twin study of age-related macular degeneration: relative roles of genetic and environmental influences. Arch. Ophthalmol. 123, 321–327 (2005). source
Not checked in the free run.
- May combine two claims. 25
- Classified as probably not a substantial claim. 13
May combine two claims.
Findingown dataAlthough ARMS2 and CFH loci were significantly associated in every sample examined, the magnitude of association varied more than expected.
“Although these two loci were significantly associated in every sample examined, the magnitude of association varied more than expected.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA risk score combining information across our 19 loci can distinguish cases and controls relatively well (AUC=.52 including only new loci or AUC=.74 including new and previously reported loci).
“In contrast to most other complex diseases, a risk score combining information across our 19 loci, can distinguish cases and controls relatively well (Figure 4, area under the ROC curve [AUC]=.52 including only new loci or AUC=.74 including new and previously reported loci; Supplementary Figure 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataInteraction analysis resulted in 171 tests of interaction, of which 9 were nominally significant (p<.05), consistent with chance expectations.
“This analysis resulted in 171 tests of interaction, of which 9 were nominally significant (p<.05, see Supplementary Table 11), consistent with chance expectations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataINRICH analyses showed enrichment for genes encoding collagen and extra-cellular region proteins (both p=10−5 and padjust=.0006), complement and coagulation cascades (p=.0002, padjust=.03), lipoprotein metabolism (p=.0003, padjust=.04), and regulation of apoptosis (p=.0009, padjust=.09).
“The INRICH analyses showed enrichment for genes encoding collagen and extra-cellular region proteins (both with p=10−5 and after adjustment for multiple testing padjust=.0006), complement and coagulation cascades (p=.0002, padjust=.03), lipoprotein metabolism (p=.0003, padjust=.04), and regulation of apoptosis (p=.0009, padjust=.09)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102, 15545–15550 (2005). source
Not checked in the free run.
May combine two claims.
Findingown dataOur data reveal 19 susceptibility loci, including 7 loci reaching p<5×10−8 for the first time, nearly doubling the number of known AMD loci outside the complement pathway.
“Our data reveal 19 susceptibility loci, including 7 loci reaching p<5×10−8 for the first time, nearly doubling the number of known AMD loci outside the complement pathway.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAlthough a common deletion of CFHR1 and CFHR3 has been proposed, there was only modest signal in this study, likely due to linkage disequilibrium with the most significantly associated variants in the locus (r2=.31 between rs10737680 and 1000 Genomes Project MERGED_DEL_2_6731).
“Although a common deletion of the CFHR1 and CFHR3 genes has been proposed42,43, there was only modest signal in this study which is likely due to linkage disequilibrium with our most significantly associated variants in the locus (r2=.31 between rs10737680 and 1000 Genomes Project MERGED_DEL_2_6731) as previously suggested34.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [42] Hughes, A.E. et al. A common CFH haplotype, with deletion of CFHR1 and CFHR3, is associated with lower risk of age-related macular degeneration. Nat. Genet. 38, 1173–1177 (2006). source
Not checked in the free run.
- cites [43] Fritsche, L.G. et al. An imbalance of human complement regulatory proteins CFHR1, CFHR3 and factor H influences risk for age-related macular degeneration (AMD). Hum. Mol. Genet. 19, 4694–4704 (2010). source
Not checked in the free run.
- cites [34] Raychaudhuri, S. et al. A rare penetrant mutation in CFH confers high risk of age-related macular degeneration. Nat. Genet. 43, 1232–1236 (2011). source
Not checked in the free run.
May combine two claims.
Findingown dataIn 50 control sets drawn from the NHGRI GWAS catalog, Ingenuity enrichment p-values for complement system and atherosclerosis signaling genes were exceeded 16% and 32% of the time respectively, although these two specific pathways were never implicated in a control dataset.
“In these 50 control sets, Ingenuity enrichment p-values for the complement system and for atherosclerosis signaling genes were exceeded 16% and 32% of the time respectively (although these two specific pathways were never implicated in a control dataset).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Hindorff, L.A. et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc. Natl. Acad. Sci. USA 106, 9362–9367 (2009). source
Not checked in the free run.
May combine two claims.
Findingown datars1061170 (CFH p.His402Tyr) was not in disequilibrium with rs10737680, the most strongly associated SNP in the CFH region, but was tagged by a secondary and weaker association signal.
“Interestingly, rs1061170 (NP_000177.2[CFH]:p.His402Tyr) was not in disequilibrium with rs10737680, the most strongly associated SNP in the CFH region but, instead, was tagged by a secondary and weaker association signal (Supplementary Tables 6&7).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLarge differences in effect sizes were observed when stratifying by ethnicity, with variants near CFH exhibiting stronger evidence for association among Europeans (p=.0000001) and those near TNFRSF10A among East Asians (p=.002).
“We also observed large differences in effect sizes when stratifying by ethnicity, with variants near CFH exhibiting stronger evidence for association among Europeans (p=.0000001) and those near TNFRSF10A among East Asians (p=.002).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataConditioning on the risk alleles and examining each of the 19 implicated loci for variants with independent association resulted in identification of previously well documented independently associated variants near CFH and C2/CFB and additional independent signals near C3, CETP, LIPC, FRK/COL10A1, IER3/DDR1, RAD51B.
“This analysis resulted in the identification of the previously well documented independently associated variants near CFH and C2/CFB8,10,31,32 and of additional independent signals near C3, CETP, LIPC, FRK/COL10A1, IER3/DDR1, RAD51B (Supplementary Table 6).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [8] Gold, B. et al. Variation in factor B (BF) and complement component 2 (C2) genes is associated with age-related macular degeneration. Nat. Genet. 38, 458–462 (2006). source
Not checked in the free run.
- cites [10] Hageman, G.S. et al. A common haplotype in the complement regulatory gene factor H (HF1/CFH) predisposes individuals to age-related macular degeneration. Proc. Natl. Acad. Sci. USA 102, 7227–7232 (2005). source
Not checked in the free run.
- cites [31] Li, M. et al. CFH haplotypes without the Y402H coding variant show strong association with susceptibility to age-related macular degeneration. Nat. Genet. 38, 1049–1054 (2006). source
Not checked in the free run.
- cites [32] Maller, J. et al. Common variation in three genes, including a noncoding variant in CFH, strongly influences risk of age-related macular degeneration. Nat. Genet. 38, 1055–1059 (2006). source
Not checked in the free run.
May combine two claims.
Findingown dataThe strongest observed interaction involved risk alleles at rs10737680 (near CFH) and rs429608 (near C2/CFB), the only association that remained significant after adjusting for multiple testing (p=.000052, <0.05/171=.00029).
“The strongest observed interaction involved risk alleles at rs10737680 (near CFH) and rs429608 (near C2/CFB), the only association that remained significant after adjusting for multiple testing (p=.000052, <0.05/171=.00029).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTwo genes showed differential expression between post-mortem retina of young (ages 17-35) and elderly (ages 75 and 77) individuals: CFH (p=.009) and VEGFA (p=.003), both with increased expression in older individuals.
“Two genes showed differential expression between post-mortem retina of young (ages 17–35) and elderly (ages 75 and 77) individuals: CFH (p=.009) and VEGFA (p=.003), both with increased expression in older individuals.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe new loci identified here account for 0.5-1.0% of the total heritability of AMD whereas secondary signals at novel and known loci account for 1.5-3.0% of the total heritability.
“the new loci identified here account for 0.5–1.0% of the total heritability of AMD whereas secondary signals at novel and known loci account for 1.5–3.0% of the total heritability.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationGenes in the complement pathway and a region of chromosome 10 have been implicated as the major genetic contributors to AMD.
“Genes in the complement pathway4–11 and a region of chromosome 10 12,13 have now been implicated as the major genetic contributors to disease.”
Quote in the paperNot a substantial claim0 of 10 sources checked- cites [4] Edwards, A.O. et al. Complement factor H polymorphism and age-related macular degeneration. Science 308, 421–424 (2005). source
Not checked in the free run.
- cites [5] Haines, J.L. et al. Complement factor H variant increases the risk of age-related macular degeneration. Science 308, 419–421 (2005). source
Not checked in the free run.
- cites [6] Klein, R.J. et al. Complement factor H polymorphism in age-related macular degeneration. Science 308, 385–389 (2005). source
Not checked in the free run.
- cites [7] Yates, J.R. et al. Complement C3 variant and the risk of age-related macular degeneration. N. Engl. J. Med. 357, 553–561 (2007). source
Not checked in the free run.
- cites [8] Gold, B. et al. Variation in factor B (BF) and complement component 2 (C2) genes is associated with age-related macular degeneration. Nat. Genet. 38, 458–462 (2006). source
Not checked in the free run.
- cites [9] Fagerness, J.A. et al. Variation near complement factor I is associated with risk of advanced AMD. Eur. J. Hum. Genet. 17, 100–104 (2009). source
Not checked in the free run.
- cites [10] Hageman, G.S. et al. A common haplotype in the complement regulatory gene factor H (HF1/CFH) predisposes individuals to age-related macular degeneration. Proc. Natl. Acad. Sci. USA 102, 7227–7232 (2005). source
Not checked in the free run.
- cites [11] Maller, J.B. et al. Variation in complement factor 3 is associated with risk of age-related macular degeneration. Nat. Genet. 39, 1200–1201 (2007). source
Not checked in the free run.
- cites [12] Rivera, A. et al. Hypothetical LOC387715 is a second major susceptibility gene for age-related macular degeneration, contributing independently of complement factor H to disease risk. Hum. Mol. Genet. 14, 3227–3236 (2005). source
Not checked in the free run.
- cites [13] Jakobsdottir, J. et al. Susceptibility genes for age-related maculopathy on chromosome 10q26. Am. J. Hum. Genet. 77, 389–407 (2005). source
Not checked in the free run.
May combine two claims.
PremisecitationAssociation has been demonstrated with several additional loci, each providing an entry-point into AMD biology and potential therapeutic targets.
“Association has also been demonstrated with several additional loci14–20, each providing an entry-point into AMD biology and potential therapeutic targets.”
Quote in the paperNot a substantial claim0 of 7 sources checked- cites [14] Klaver, C.C. et al. Genetic association of apolipoprotein E with age-related macular degeneration. Am. J. Hum. Genet. 63, 200–206 (1998). source
Not checked in the free run.
- cites [15] Souied, E.H. et al. The ɛ4 allele of the apolipoprotein E gene as a potential protective factor for exudative age-related macular degeneration. Am. J. Ophthalmol. 125, 353–359 (1998). source
Not checked in the free run.
- cites [16] McKay, G.J. et al. Evidence of association of APOE with age-related macular degeneration: a pooled analysis of 15 studies. Hum. Mutat. 32, 1407–1416 (2011). source
Not checked in the free run.
- cites [17] Chen, W. et al. Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration. Proc. Natl. Acad. Sci. USA 107, 7401–7406 (2010). source
Not checked in the free run.
- cites [18] Neale, B.M. et al. Genome-wide association study of advanced age-related macular degeneration identifies a role of the hepatic lipase gene (LIPC). Proc. Natl. Acad. Sci. USA 107, 7395–7400 (2010). source
Not checked in the free run.
- cites [19] Yu, Y. et al. Common variants near FRK/COL10A1 and VEGFA are associated with advanced age-related macular degeneration. Hum. Mol. Genet. 20, 3699–3709 (2011). source
Not checked in the free run.
- cites [20] Arakawa, S. et al. Genome-wide association study identifies two susceptibility loci for exudative age-related macular degeneration in the Japanese population. Nat. Genet. 43, 1001–1004 (2011). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationEach study was subject to GWAS quality control filters customized taking into account study-specific features and standardized to the HapMap reference panel and statistical genotype imputation.
“Each study was first subject to GWAS quality control filters (customized taking into account study specific features21 as detailed in Supplementary Table 2) and standardized to the HapMap reference panel and statistical genotype imputation22–25.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [21] McCarthy, M.I. et al. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat. Rev. Genet. 9, 356–369 (2008). source
Not checked in the free run.
- cites [22] Li, Y., Willer, C.J., Sanna, S. & Abecasis, G.R. Genotype imputation. Annu. Rev. Genomics Hum. Genet. 10, 387–406 (2009). source
Not checked in the free run.
- cites [23] Marchini, J., Howie, B., Myers, S., McVean, G. & Donnelly, P. A new multipoint method for genome-wide association studies by imputation of genotypes. Nat. Genet. 39, 906–913 (2007). source
Not checked in the free run.
- cites [24] Browning, B.L. & Browning, S.R. A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals. Am. J. Hum. Genet. 84, 210–223 (2009). source
Not checked in the free run.
- cites [25] Li, Y., Willer, C.J., Ding, J., Scheet, P. & Abecasis, G.R. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet. Epidemiol. 34, 816–834 (2010). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAMD is a highly heritable progressive neurodegenerative disease that leads to loss of central vision through death of photoreceptors.
“AMD is a highly heritable progressive neurodegenerative disease that leads to loss of central vision through death of photoreceptors1,2.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] Swaroop, A., Chew, E.Y., Rickman, C.B. & Abecasis, G.R. Unravelling a late-onset multifactorial disease: from genetic susceptibility to disease mechanisms for age-related macular degeneration. Annu. Rev. Genomics Hum. Genet. 10, 19–43 (2009). source
Not checked in the free run.
- cites [2] Seddon, J.M., Cote, J., Page, W.F., Aggen, S.H. & Neale, M.C. The US twin study of age-related macular degeneration: relative roles of genetic and environmental influences. Arch. Ophthalmol. 123, 321–327 (2005). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationBefore meta-analysis, all study-specific files underwent quality control procedures to check for completeness and plausible descriptive statistics on all variables as well as for compliance of allele frequencies with HapMap.
“Before meta-analysis, all study-specific files underwent quality control procedures to check for completeness and plausible descriptive statistics on all variables as well as for compliance of allele frequencies with HapMap59.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] Nyholt, D.R. A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. Am. J. Hum. Genet. 74, 765–769 (2004). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataMeta-analyses used inverse variance weighted fixed effect model; alternative weighted z-score method gave very similar test statistics (correlation of −log10(p-value) >0.98).
“For both discovery and follow-up, we performed meta-analyses using the inverse variance weighted fixed effect model, which pools the effect size and standard error of each participated GWAS. Using an alternative weighted z-score method, which is based on a weighted sum of z-score statistics, we obtained a very similar set of test statistics (correlation of −log10(p-value) >0.98).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Willer, C.J., Li, Y. & Abecasis, G.R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataSecond signal analysis used logistic regression containing all identified index SNPs, quality control, effective sample size weighted z-score meta-analysis, two rounds of genomic control correction, and a Bonferroni-adjusted significance threshold.
“using a logistic regression model containing all identified index SNPs. Quality control procedures were performed as before.”
- Also stated in: § EXTENDED ANALYSES FOR THE IDENTIFIED AMD LOCI · plain
“The significance threshold (p<0.05) for an independent association signal within any of the identified loci was Bonferroni-adjusted using the average effective number of SNPs involved across the identified loci determined by SNPSpD60.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] 1000 Genomes Project Consortium. An integrated map of genetic variation from 1,092 human genomes. Nature 491, 56–65 (2012). source
Not checked in the free run.
- Also stated in: § EXTENDED ANALYSES FOR THE IDENTIFIED AMD LOCI · plain
May combine two claims.
Interpretationown dataSome coding variants point to well-studied genes (ARMS2, C3 and APOE) while others help prioritize nearby genes for further study.
“Some coding variants point to well-studied genes (ARMS2, C3 and APOE) while others help prioritize nearby genes for further study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll results were analyzed and validated among four independent teams.
“All results were analyzed and validated among four independent teams.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataInteraction analysis used pre-specified R-scripts, quality control checks, and inverse variance weighted fixed effect model in METAL.
“Utilizing a pre-specified R-scripts (see URLs), GWAS partners performed 171 logistic regression analyses modeling the pair-wise interaction of the 19 index SNPs assuming an additive model for main and interaction effects.”
- Also stated in: § EXTENDED ANALYSES FOR THE IDENTIFIED AMD LOCI · plain
“SNPs with low imputation quality measures and pairs with |beta|>5 or standard errors >5 were excluded before meta-analyzing the interaction effects with the inverse variance weighted fixed effect model in METAL.”
Quote in the paperNot a substantial claim- Also stated in: § EXTENDED ANALYSES FOR THE IDENTIFIED AMD LOCI · plain
Classified as probably not a substantial claim.
Study design and conductown dataStudy-specific control for population stratification was conducted for all analyses.
“For all analyses, study-specific control for population stratification was conducted (Supplementary Table 4).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningSNP results were excluded from meta-analysis for discovery if imputation quality measures were too low or if effect sizes or standard errors were too extreme, and for follow-up if Hardy-Weinberg equilibrium was violated.
“In addition, we excluded SNP results of a study into meta-analysis (i) for discovery: if imputation quality measures were too low (MACH & PLINK <0.3; SNPTEST <0.4) or if effect sizes (|beta|) or standard errors were too extreme (≥5) indicating instability of the estimates, (ii) for follow-up: if Hardy-Weinberg equilibrium was violated (p<0.05/32).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOur results show some susceptibility alleles exhibit different association across ethnic groups and may be preferentially associated with specific subtypes of disease.
“Our results show some susceptibility alleles exhibit different association across ethnic groups and may be preferentially associated with specific subtypes of disease.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationTwo rounds of genomic control corrections were applied to each individual GWAS and the combined meta results.
“For the discovery, we applied two rounds of genomic control corrections to each individual GWAS and the combined meta results, respectively 51.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Devlin, B. & Roeder, K. Genomic control for association studies. Biometrics 55, 997–1004 (1999). source
Not checked in the free run.
May combine two claims.
Interpretationown dataCFH, VEGFA and C3 are up-regulated with aging, and their role in AMD may indicate an accelerated aging process.
“CFH, VEGFA and C3 are thus up-regulated with aging, and their role in AMD may indicate an accelerated aging process.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationConsistent with observations for other complex diseases, the majority of common disease susceptibility alleles do not alter protein sequences and are not associated with insertions or deletions of coding sequence or with copy number variation.
“Consistent with observations for other complex diseases39, the majority of common disease susceptibility alleles do not alter protein sequences and are not associated with insertions or deletions of coding sequence or with copy number variation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] 1000 Genomes Project Consortium. A map of human genome variation from population scale sequencing. Nature 467, 1061–1073 (2010). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataGenetic risk score used leave-one-out cross-validation to assess prediction.
“For each study, we used a leave-one-out cross-validation to access the prediction of the risk score.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataPathway analyses used control sets and INRICH permutations to evaluate significance.
“To evaluate significance of observed enrichment, we repeated our Ingenuity analysis starting with 50 lists of 19 SNPs randomly drawn from the NHGRI GWAS catalog46 and, again, using the INRICH tool63.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [46] Hindorff, L.A. et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc. Natl. Acad. Sci. USA 106, 9362–9367 (2009). source
Not checked in the free run.
- cites [63]
Not checked in the free run.
The authors state this as an assumption.
An underlying normally distributed but unobserved disease risk score (liability) underlies AMD risk.
“Using a model that assumes an underlying normally distributed but unobserved disease risk score or liability49, the nineteen loci described here account for between 10% (if AMD prevalence is close to 1%) and 30% (if AMD prevalence is closer to 10%) of the variability in disease risk (corresponding to 15–65% of the total genetic contribution to AMD).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Variants of SLC16A8 are risk factors for AMD.
“A genome-wide association study (GWAS) showed that variants of SLC16A8 are risk factors for AMD (Fritsche et al., 2013, 2016).”
From The cell biology of the retinal pigment epithelium (2020) · cites this paper as Fritsche et al., 2013
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
Self-citationANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,380 · see citing works
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194 · see citing works
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336 · see citing works
Self-citationA map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Zeger, S. L., & Liang, K. (1986) · Biometrics · doi:10.2307/2531248 · Cited by 7,730 · see citing works
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205 · see citing works
Self-citationComplement factor H polymorphism in age-related macular degeneration
Klein, R. J., Zeiss, C., Chew, E. Y., Tsai, J.-Y., Sackler, R. S., Haynes, C., Henning, A. K., SanGiovanni, J. P., Mane, S. M., Mayne, S. T., et al. (2005) · Science · doi:10.1126/science.1109557 · Cited by 4,492 · see citing works
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013 · see citing works
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · see citing works
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026 · see citing works
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891 · see citing works
Self-citationPrevalence of Age-Related Macular Degeneration in the United States
The Eye Diseases Prevalence Research Group* (2004) · Archives of Ophthalmology · doi:10.1001/archopht.122.4.564 · Cited by 2,742 · see citing works
LocusZoom: regional visualization of genome-wide association scan results
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq419 · Cited by 2,707 · see citing works
Dialysis Dose and Intradialytic Hypotension: Results from the HEMO Study
Causland, F. R. M., Brunelli, S. M., & Waikar, S. S. (2013) · American Journal of Nephrology · doi:10.1159/000355958 · Cited by 2,705 · see citing works
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609 · see citing works
Complement factor H polymorphism and age-related macular degeneration
Edwards, A. O., Ritter, R., Abel, K. J., Manning, A., Panhuysen, C., & Farrer, L. A. (2005) · Science · doi:10.1126/science.1110189 · Cited by 2,449 · see citing works
Complement factor H variant increases the risk of age-related macular degeneration
Haines, J. L., Hauser, M. A., Schmidt, S., Scott, W. K., Olson, L. M., Gallins, P., Spencer, K. L., Kwan, S. Y., Noureddine, M., Gilbert, J. R., et al. (2005) · Science · doi:10.1126/science.1110359 · Cited by 2,424 · see citing works
Hageman, G. S., Anderson, D. H., Johnson, L. V., Hancox, L. S., Taiber, A. J., Hardisty, L. I., Hageman, J. L., Stockman, H. A., Borchardt, J. D., Gehrs, K. M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501536102 · Cited by 1,961 · see citing works
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843 · see citing works
Nyholt, D. R. (2004) · The American Journal of Human Genetics · doi:10.1086/383251 · Cited by 1,699 · see citing works
Browning, B. L., & Browning, S. R. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.005 · Cited by 1,640 · see citing works
Skol, A. D., Scott, L. J., Abecasis, G. R., & Boehnke, M. (2006) · Nature Genetics · doi:10.1038/ng1706 · Cited by 1,286 · see citing works
The AMD Genetics Clinical Study Group, Gold, B., Merriam, J. E., Zernant, J., Hancox, L. S., Taiber, A. J., Gehrs, K., Cramer, K., Neel, J., Bergeron, J., et al. (2006) · Nature Genetics · doi:10.1038/ng1750 · Cited by 1,075 · see citing works
Li, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990 · see citing works
Nejentsev, S., Walker, N., Riches, D., Egholm, M., & Todd, J. A. (2009) · Science · doi:10.1126/science.1167728 · Cited by 958 · see citing works
<i>HTRA1</i> Promoter Polymorphism in Wet Age-Related Macular Degeneration
DeWan, A., Liu, M., Hartman, S., Zhang, S. S.-M., Liu, D. T. L., Zhao, C., Tam, P. O. S., Chan, W. M., Lam, D. S. C., Snyder, M., et al. (2006) · Science · doi:10.1126/science.1133807 · Cited by 876 · see citing works
Complement C3 variant and the risk of age-related macular degeneration
Yates, J. R. W., Sepp, T., Matharu, B. K., Khan, J. C., Thurlby, D. A., Shahid, H., Clayton, D. G., Hayward, C., Morgan, J., Wright, A. F., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072618 · Cited by 829 · see citing works
Self-citationThe Wellcome Trust Case Control Consortium (2010) · Nature · doi:10.1038/nature08979 · Cited by 807 · see citing works
Rivera, A., Fisher, S. A., Fritsche, L. G., Keilhauer, C. N., Lichtner, P., Meitinger, T., & Weber, B. H. F. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi353 · Cited by 788 · see citing works
Friedman, D. S. (2004) · Archives of Ophthalmology · doi:10.1001/archopht.122.7.1019 · Cited by 656 · see citing works
Maller, J., George, S., Purcell, S., Fagerness, J., Altshuler, D., Daly, M. J., & Seddon, J. M. (2006) · Nature Genetics · doi:10.1038/ng1873 · Cited by 599 · see citing works
Chen, W., Stambolian, D., Edwards, A. O., Branham, K. E., Othman, M., Jakobsdottir, J., Tosakulwong, N., Pericak-Vance, M. A., Campochiaro, P. A., Klein, M. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912702107 · Cited by 506 · see citing works
Genetic Association of Apolipoprotein E with Age-Related Macular Degeneration
Klaver, C. C. W., Kliffen, M., van Duijn, C. M., Hofman, A., Cruts, M., Grobbee, D. E., van Broeckhoven, C., & de Jong, P. T. V. M. (1998) · The American Journal of Human Genetics · doi:10.1086/301901 · Cited by 498 · see citing works
Susceptibility genes for age-related maculopathy on chromosome 10q26
Jakobsdottir, J., Conley, Y. P., Weeks, D. E., Mah, T. S., Ferrell, R. E., & Gorin, M. B. (2005) · The American Journal of Human Genetics · doi:10.1086/444437 · Cited by 470 · see citing works
Self-citationHughes, A. E., Orr, N., Esfandiary, H., Diaz-Torres, M., Goodship, T., & Chakravarthy, U. (2006) · Nature Genetics · doi:10.1038/ng1890 · Cited by 467 · see citing works
Seddon, J. M. (2005) · Archives of Ophthalmology · doi:10.1001/archopht.123.3.321 · Cited by 446 · cited 1× · see citing works
“[17,18], Gabriëlle H S Buitendijk [19,20], Xueling Sim [2,21], Daniel E Weeks [22,23], Robyn H Guymer [24], Joanna E Merriam [25], Peter J Francis [26], Gregory Hannum [27], Anita Agarwal [28,29], Ana Maria Armbrecht [30], Isabelle Audo [10,31,32,33], Tin Aung [34,35], Gaetano R Barile [25], Mustapha Benchaboune [36],…”
BackgroundSelf-citationNeale, B. M., Fagerness, J., Reynolds, R., Sobrin, L., Parker, M., Raychaudhuri, S., Tan, P. L., Oh, E. C., Merriam, J. E., Souied, E., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912019107 · Cited by 442 · see citing works
Variation in complement factor 3 is associated with risk of age-related macular degeneration
Maller, J. B., Fagerness, J. A., Reynolds, R. C., Neale, B. M., Daly, M. J., & Seddon, J. M. (2007) · Nature Genetics · doi:10.1038/ng2131 · Cited by 437 · see citing works
Self-citationAge-related macular degeneration is associated with an unstable ARMS2 (LOC387715) mRNA
Fritsche, L. G., Loenhardt, T., Janssen, A., Fisher, S. A., Rivera, A., Keilhauer, C. N., & Weber, B. H. F. (2008) · Nature Genetics · doi:10.1038/ng.170 · Cited by 400 · see citing works
ProbABEL package for genome-wide association analysis of imputed data
Aulchenko, Y. S., Struchalin, M. V., & van Duijn, C. M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-134 · Cited by 396 · see citing works
Variation near complement factor I is associated with risk of advanced AMD
Fagerness, J. A., Maller, J. B., Neale, B. M., Reynolds, R. C., Daly, M. J., & Seddon, J. M. (2009) · European Journal of Human Genetics · doi:10.1038/ejhg.2008.140 · Cited by 357 · see citing works
Li, M., Atmaca-Sonmez, P., Othman, M., Branham, K. E. H., Khanna, R., Wade, M. S., Li, Y., Liang, L., Zareparsi, S., Swaroop, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1871 · Cited by 354 · see citing works
Association of CFH Y402H and LOC387715 A69S with progression of age-related macular degeneration
Seddon, J. M., Francis, P. J., George, S., Schultz, D. W., Rosner, B., & Klein, M. L. (2007) · JAMA · doi:10.1001/jama.297.16.1793 · Cited by 330 · see citing works
Self-citationThe imprinted DLK1-MEG3 gene region on chromosome 14q32.2 alters susceptibility to type 1 diabetes
Wallace, C., Smyth, D. J., Maisuria-Armer, M., Walker, N. M., Todd, J. A., & Clayton, D. G. (2009) · Nature Genetics · doi:10.1038/ng.493 · Cited by 325 · see citing works
A rare penetrant mutation in CFH confers high risk of age-related macular degeneration
Raychaudhuri, S., Iartchouk, O., Chin, K., Tan, P. L., Tai, A. K., Ripke, S., Gowrisankar, S., Vemuri, S., Montgomery, K., Yu, Y., et al. (2011) · Nature Genetics · doi:10.1038/ng.976 · Cited by 323 · see citing works
Souied, E. H., Benlian, P., Amouyel, P., Feingold, J., Lagarde, J.-P., Munnich, A., Kaplan, J., Coscas, G., & Soubrane, G. (1998) · American Journal of Ophthalmology · doi:10.1016/s0002-9394(99)80146-9 · Cited by 292 · see citing works
So, H.-C., Gui, A. H. S., Cherny, S. S., & Sham, P. C. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20579 · Cited by 289 · see citing works
Swaroop, A., Chew, E. Y., Bowes Rickman, C., & Abecasis, G. R. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164350 · Cited by 270 · see citing works
Transcriptome analysis and molecular signature of human retinal pigment epithelium
Strunnikova, N. V., Maminishkis, A., Barb, J. J., Wang, F., Zhi, C., Sergeev, Y., Chen, W., Edwards, A. O., Stambolian, D., Abecasis, G., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq129 · Cited by 269 · see citing works
Yu, Y., Bhangale, T. R., Fagerness, J., Ripke, S., Thorleifsson, G., Tan, P. L., Souied, E. H., Richardson, A. J., Merriam, J. E., Buitendijk, G. H. S., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr270 · Cited by 254 · see citing works
Self-citationGenotype-Imputation Accuracy across Worldwide Human Populations
Huang, L., Li, Y., Singleton, A., Hardy, J., Abecasis, G. R., Rosenberg, N. A., & Scheet, P. A. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.013 · Cited by 243 · see citing works
INRICH: interval-based enrichment analysis for genome-wide association studies
Lee, P. H., O'Dushlaine, C., Thomas, B., & Purcell, S. M. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts191 · Cited by 238 · see citing works
Fritsche, L. G., Lauer, N., Hartmann, A., Stippa, S., Keilhauer, C. N., Oppermann, M., Pandey, M. K., Köhl, J., Zipfel, P. F., Weber, B. H. F., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq399 · Cited by 203 · see citing works
Seddon, J. M., Reynolds, R., Yu, Y., Daly, M. J., & Rosner, B. (2011) · Ophthalmology · doi:10.1016/j.ophtha.2011.04.029 · Cited by 198 · see citing works
McKay, G. J., Patterson, C. C., Chakravarthy, U., Dasari, S., Klaver, C. C., Vingerling, J. R., Ho, L., de Jong, P. T. V. M., Fletcher, A. E., Young, I. S., et al. (2011) · Human Mutation · doi:10.1002/humu.21577 · Cited by 151 · see citing works
Self-citationArakawa, S., Takahashi, A., Ashikawa, K., Hosono, N., Aoi, T., Yasuda, M., Oshima, Y., Yoshida, S., Enaida, H., Tsuchihashi, T., et al. (2011) · Nature Genetics · doi:10.1038/ng.938 · Cited by 149 · see citing works
Self-citationBrooks, M. J., Rajasimha, H. K., Roger, J. E., & Swaroop, A. (2011) · Europe PMC (PubMed Central) · Cited by 108 · see citing works
Sobrin, L., Reynolds, R., Yu, Y., Fagerness, J., Leveziel, N., Bernstein, P. S., Souied, E. H., Daly, M. J., & Seddon, J. M. (2011) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2010.08.015 · Cited by 78 · see citing works
A 32 kb Critical Region Excluding Y402H in CFH Mediates Risk for Age-Related Macular Degeneration
Sivakumaran, T. A., Igo, R. P., Kidd, J. M., Itsara, A., Kopplin, L. J., Chen, W., Hagstrom, S. A., Peachey, N. S., Francis, P. J., Klein, M. L., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025598 · Cited by 53 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., Burdon, K. P., Hebbring, S. J., Wen, C., Gorski, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3448 · Cited by 1,544 · see citing works
Understanding multicellular function and disease with human tissue-specific networks
Greene, C. S., Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3259 · Cited by 832 · see citing works
The cell biology of the retinal pigment epithelium
Lakkaraju, A., Umapathy, A., Tan, L. X., Daniele, L., Philp, N. J., Boesze-Battaglia, K., & Williams, D. S. (2020) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2020.100846 · Cited by 422 · see citing works
Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases
Marbach, D., Lamparter, D., Quon, G., Kellis, M., Kutalik, Z., & Bergmann, S. (2016) · Nature Methods · doi:10.1038/nmeth.3799 · Cited by 326 · see citing works
Mechanisms of age‐related macular degeneration and therapeutic opportunities
van Lookeren Campagne, M., LeCouter, J., Yaspan, B. L., & Ye, W. (2014) · The Journal of Pathology · doi:10.1002/path.4266 · Cited by 382 · see citing works
A new perspective on lipid research in age-related macular degeneration
van Leeuwen, E. M., Emri, E., Merle, B. M. J., Colijn, J. M., Kersten, E., Cougnard-Gregoire, A., Dammeier, S., Meester-Smoor, M., Pool, F. M., de Jong, E. K., et al. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2018.04.006 · Cited by 247 · see citing works
Self-citationGut microbiota influences pathological angiogenesis in obesity‐driven choroidal neovascularization
Andriessen, E. M., Wilson, A. M., Mawambo, G., Dejda, A., Miloudi, K., Sennlaub, F., & Sapieha, P. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606531 · Cited by 201 · see citing works
On phagocytes and macular degeneration
Guillonneau, X., Eandi, C. M., Paques, M., Sahel, J.-A., Sapieha, P., & Sennlaub, F. (2017) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2017.06.002 · Cited by 185 · see citing works
Self-citationEarly and late stage gene therapy interventions for inherited retinal degenerations
Botto, C., Rucli, M., Tekinsoy, M. D., Pulman, J., Sahel, J.-A., & Dalkara, D. (2022) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2021.100975 · Cited by 190 · see citing works
Wang, J., Zibetti, C., Shang, P., Sripathi, S. R., Zhang, P., Cano, M., Hoang, T., Xia, S., Ji, H., Merbs, S. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03856-y · Cited by 185 · see citing works
Self-citationClark, S. J., Schmidt, C. Q., White, A. M., Hakobyan, S., Morgan, B. P., & Bishop, P. N. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1401613 · Cited by 122 · see citing works
Self-citationPhenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits
Freund, M. K., Burch, K. S., Shi, H., Mancuso, N., Kichaev, G., Garske, K. M., Pan, D. Z., Miao, Z., Mohlke, K. L., Laakso, M., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.08.017 · Cited by 102 · see citing works
Lipids, oxidized lipids, oxidation-specific epitopes, and Age-related macular degeneration.
Handa, J. T., Cano, M., Wang, L., Datta, S., & Liu, T. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2016.07.013 · Cited by 112 · see citing works
Indaram, M., Ma, W., Zhao, L., Fariss, R. N., Rodriguez, I. R., & Wong, W. T. (2015) · Scientific Reports · doi:10.1038/srep09144 · Cited by 101 · see citing works
Self-citationBeguier, F., Housset, M., Roubeix, C., Augustin, S., Zagar, Y., Nous, C., Mathis, T., Eandi, C., Benchaboune, M., Drame-Maigné, A., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.07.021 · Cited by 87 · see citing works
Chew, E. Y., Klein, M. L., Clemons, T. E., Agrón, E., Ratnapriya, R., Edwards, A. O., Fritsche, L. G., Swaroop, A., & Abecasis, G. R. (2014) · Ophthalmology · doi:10.1016/j.ophtha.2014.05.008 · Cited by 94 · see citing works
Treatment of ocular disorders by gene therapy
Solinís, M. Á., del Pozo-Rodríguez, A., Apaolaza, P. S., & Rodríguez-Gascón, A. (2015) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2014.12.022 · Cited by 88 · see citing works
Increased retinal mtDNA damage in the CFH variant associated with age-related macular degeneration
Ferrington, D. A., Kapphahn, R. J., Leary, M. M., Atilano, S. R., Terluk, M. R., Karunadharma, P., Chen, G. K.-J., Ratnapriya, R., Swaroop, A., Montezuma, S. R., et al. (2016) · Experimental Eye Research · doi:10.1016/j.exer.2016.01.018 · Cited by 85 · see citing works
Self-citationComplement activation levels are related to disease stage in AMD
Heesterbeek, T. J., Lechanteur, Y. T. E., Lorés-Motta, L., Schick, T., Daha, M. R., Altay, L., Liakopoulos, S., Smailhodzic, D., den Hollander, A. I., Hoyng, C. B., et al. (2020) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.61.3.18 · Cited by 76 · see citing works
Towards the application of precision medicine in Age-Related Macular Degeneration
Cascella, R., Strafella, C., Caputo, V., Errichiello, V., Zampatti, S., Milano, F., Potenza, S., Mauriello, S., Novelli, G., Ricci, F., et al. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2017.11.004 · Cited by 76 · see citing works
Kim, S.-Y., Yang, H.-J., Chang, Y.-S., Kim, J.-W., Brooks, M., Chew, E. Y., Wong, W. T., Fariss, R. N., Rachel, R. A., Cogliati, T., et al. (2014) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.14-15091 · Cited by 72 · see citing works
Genetics and genetic testing for age-related macular degeneration
Warwick, A., & Lotery, A. (2018) · Eye · doi:10.1038/eye.2017.245 · Cited by 67 · see citing works
Keenan, T. D. L., Pickford, C. E., Holley, R. J., Clark, S. J., Lin, W., Dowsey, A. W., Merry, C. L., Day, A. J., & Bishop, P. N. (2014) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.14-14126 · Cited by 65 · see citing works
Strunz, T., Lauwen, S., Kiel, C., International AMD Genomics Consortium (IAMDGC), Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-58510-9 · Cited by 60 · see citing works
Hallam, T. M., Marchbank, K. J., Harris, C. L., Osmond, C., Shuttleworth, V. G., Griffiths, H., Cree, A. J., Kavanagh, D., & Lotery, A. J. (2020) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.61.6.18 · Cited by 57 · see citing works
Progressive dysfunction of the retinal pigment epithelium and retina due to increased VEGF-A levels
Ablonczy, Z., Dahrouj, M., & Marneros, A. G. (2014) · The FASEB Journal · doi:10.1096/fj.13-248021 · Cited by 52 · see citing works
Sorsby fundus dystrophy:<i>Insights from the past and looking to the future</i>
Anand‐Apte, B., Chao, J. R., Singh, R., & Stöhr, H. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24317 · Cited by 45 · see citing works
Bisretinoids of the Retina: Photo-Oxidation, Iron-Catalyzed Oxidation, and Disease Consequences
Kim, H. J., Montenegro, D., Zhao, J., & Sparrow, J. R. (2021) · Antioxidants · doi:10.3390/antiox10091382 · Cited by 35 · see citing works
Tzoumas, N., Hallam, D., Harris, C. L., Lako, M., Kavanagh, D., & Steel, D. H. W. (2021) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2020.10.008 · Cited by 33 · see citing works
The genetics of retinopathy of prematurity: A model for neovascular retinal disease
Swan, R., Kim, S. J., Campbell, J. P., Chan, R. V. P., Sonmez, K., Taylor, K. D., Li, X., Chen, Y.-D. I., Rotter, J. I., Simmons, C., et al. (2018) · Ophthalmology Retina · doi:10.1016/j.oret.2018.01.016 · Cited by 30 · see citing works
SanGiovanni, J. P., & Lee, P. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071239 · Cited by 26 · see citing works
Complement factor H and related proteins in age-related macular degeneration
Calippe, B., Guillonneau, X., & Sennlaub, F. (2014) · Comptes Rendus. Biologies · doi:10.1016/j.crvi.2013.12.003 · Cited by 18 · see citing works
Chintalapati, M., Dannemann, M., & Prüfer, K. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-1018-8 · Cited by 13 · see citing works
- Authors
- The AMD Gene Consortium
- Venue
- Nature Genetics
- Published
- 2013-03-03
- Volume
- 45
- Issue
- 4
- Pages
- 433-439
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC3739472
- OpenAlex
- W2035310463
- Semantic Scholar
- 6fdcda9d7a79b5197ed12da43c2a5c4f8ad34db1
- Cited by
- 788
- References
- 63
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 24 · 2023: 39 · 2022: 39 · 2021: 56 · 2020: 51 · 2019: 59 · 2018: 58 · 2017: 75 · 2016: 89 · 2015: 113 · 2014: 100 · 2013: 44 · 2012: 1
- FWCI
- 113.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- National University of Singapore (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- HAL (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research (NF-SI-0507-10204, NF-SI-0507-10094)
- Agence Nationale de la Recherche (ANR-10-INBS-0001)
- Moorfields Eye Hospital NHS Foundation Trust
- Medical Research Council (MR/K006584/1)
- National Human Genome Research Institute (R01HG007022)
- National Eye Institute (R01EY022005, R01EY013435, P30EY019007, R24EY019861, R01EY022310, R01EY021163, R01EY011309, P30EY014800)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Keywords
- age-related macular degeneration, genetic loci, genome-wide association study, complement system, lipid metabolism, extracellular matrix remodeling, angiogenesis, TGFBR1, RAD51B, ADAMTS9, polygenic risk score
- MeSH terms
- Female, Humans, Macular Degeneration, Male, Risk Factors, Meta-Analysis as Topic, Biomarkers, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review