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    A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants
    Fritsche, LG ; Igl, W ; Bailey, JNC ; Grassmann, F ; Sengupta, S ; Bragg-Gresham, JL ; Burdon, KP ; Hebbring, SJ ; Wen, C ; Gorski, M ; Kim, IK ; Cho, D ; Zack, D ; Souied, E ; Scholl, HPN ; Bala, E ; Lee, KE ; Hunter, DJ ; Sardell, RJ ; Mitchell, P ; Merriam, JE ; Cipriani, V ; Hoffman, JD ; Schick, T ; Lechanteur, YTE ; Guymer, RH ; Johnson, MP ; Jiang, Y ; Stanton, CM ; Buitendijk, GHS ; Zhan, X ; Kwong, AM ; Boleda, A ; Brooks, M ; Gieser, L ; Ratnapriya, R ; Branham, KE ; Foerster, JR ; Heckenlively, JR ; Othman, MI ; Vote, BJ ; Liang, HH ; Souzeau, E ; McAllister, IL ; Isaacs, T ; Hall, J ; Lake, S ; Mackey, DA ; Constable, IJ ; Craig, JE ; Kitchner, TE ; Yang, Z ; Su, Z ; Luo, H ; Chen, D ; Hong, O ; Flagg, K ; Lin, D ; Mao, G ; Ferreyra, H ; Starke, K ; von Strachwitz, CN ; Wolf, A ; Brandl, C ; Rudolph, G ; Olden, M ; Morrison, MA ; Morgan, DJ ; Schu, M ; Ahn, J ; Silvestri, G ; Tsironi, EE ; Park, KH ; Farrer, LA ; Orlin, A ; Brucker, A ; Li, M ; Curcio, CA ; Mohand-Said, S ; Sahel, J-M ; Audo, I ; Benchaboune, M ; Cree, AJ ; Rennie, CA ; Goverdhan, SV ; Grunin, M ; Hagbi-Levi, S ; Campochiaro, P ; Katsanis, N ; Holz, FG ; Blond, F ; Blanche, H ; Deleuze, J-F ; Igo, RP ; Truitt, B ; Peachey, NS ; Meuer, SM ; Myers, CE ; Moore, EL ; Klein, R ; Hauser, MA ; Postel, EA ; Courtenay, MD ; Schwartz, SG ; Kovach, JL ; Scott, WK ; Liew, G ; Tan, AG ; Gopinath, B ; Merriam, JC ; Smith, RT ; Khan, JC ; Shahid, H ; Moore, AT ; McGrath, JA ; Laux, R ; Brantley, MA ; Agarwal, A ; Ersoy, L ; Caramoy, A ; Langmann, T ; Saksens, NTM ; de Jong, EK ; Hoyng, CB ; Cain, MS ; Richardson, AJ ; Martin, TM ; Blangero, J ; Weeks, DE ; Dhillon, B ; van Duijn, CM ; Doheny, KF ; Romm, J ; Klaver, CCW ; Hayward, C ; Gorin, MB ; Klein, ML ; Baird, PN ; den Hollander, AI ; Fauser, S ; Yates, JRW ; Allikmets, R ; Wang, JJ ; Schaumberg, DA ; Klein, BEK ; Hagstrom, SA ; Chowers, I ; Lotery, AJ ; Leveillard, T ; Zhang, K ; Brilliant, MH ; Hewitt, AW ; Swaroop, A ; Chew, EY ; Pericak-Vance, MA ; DeAngelis, M ; Stambolian, D ; Haines, JL ; Iyengar, SK ; Weber, BHF ; Abecasis, GR ; Heid, IM (NATURE PUBLISHING GROUP, 2016-02)
    Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.
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    Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium
    Li, Q ; Wojciechowski, R ; Simpson, CL ; Hysi, PG ; Verhoeven, VJM ; Ikram, MK ; Hoehn, R ; Vitart, V ; Hewitt, AW ; Oexle, K ; Makela, K-M ; MacGregor, S ; Pirastu, M ; Fan, Q ; Cheng, C-Y ; St Pourcain, B ; McMahon, G ; Kemp, JP ; Northstone, K ; Rahi, JS ; Cumberland, PM ; Martin, NG ; Sanfilippo, PG ; Lu, Y ; Wang, YX ; Hayward, C ; Polasek, O ; Campbell, H ; Bencic, G ; Wright, AF ; Wedenoja, J ; Zeller, T ; Schillert, A ; Mirshahi, A ; Lackner, K ; Yip, SP ; Yap, MKH ; Ried, JS ; Gieger, C ; Murgia, F ; Wilson, JF ; Fleck, B ; Yazar, S ; Vingerling, JR ; Hofman, A ; Uitterlinden, A ; Rivadeneira, F ; Amin, N ; Karssen, L ; Oostra, BA ; Zhou, X ; Teo, Y-Y ; Tai, ES ; Vithana, E ; Barathi, V ; Zheng, Y ; Siantar, RG ; Neelam, K ; Shin, Y ; Lam, J ; Yonova-Doing, E ; Venturini, C ; Hosseini, SM ; Wong, H-S ; Lehtimaki, T ; Kahonen, M ; Raitakari, O ; Timpson, NJ ; Evans, DM ; Khor, C-C ; Aung, T ; Young, TL ; Mitchell, P ; Klein, B ; van Duijn, CM ; Meitinger, T ; Jonas, JB ; Baird, PN ; Mackey, DA ; Wong, TY ; Saw, S-M ; Parssinen, O ; Stambolian, D ; Hammond, CJ ; Klaver, CCW ; Williams, C ; Paterson, AD ; Bailey-Wilson, JE ; Guggenheim, JA (SPRINGER, 2015-02)
    To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for each cohort separately using logistic regression. Meta-analysis was conducted using a fixed effects model. In the older European group the most strongly associated marker was downstream of the neurexin-1 (NRXN1) gene (rs1401327, P = 3.92E-8). No other region reached genome-wide significance, and association signals were lower for the younger European group and Asian group. In the meta-analysis of all cohorts, no marker reached genome-wide significance: The most strongly associated regions were, NRXN1 (rs1401327, P = 2.93E-07), TOX (rs7823467, P = 3.47E-07) and LINC00340 (rs12212674, P = 1.49E-06). For 34 markers identified in prior GWAS for spherical equivalent refractive error, the beta coefficients for genotype versus spherical equivalent, and genotype versus refractive astigmatism, were highly correlated (r = -0.59, P = 2.10E-04). This work revealed no consistent or strong genetic signals for refractive astigmatism; however, the TOX gene region previously identified in GWAS for spherical equivalent refractive error was the second most strongly associated region. Analysis of additional markers provided evidence supporting widespread genetic co-susceptibility for spherical and astigmatic refractive errors.
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    Meta-analysis of genome-wide association studies identifies novel loci that influence cupping and the glaucomatous process
    Springelkamp, H ; Hoehn, R ; Mishra, A ; Hysi, PG ; Khor, C-C ; Loomis, SJ ; Bailey, JNC ; Gibson, J ; Thorleifsson, G ; Janssen, SF ; Luo, X ; Ramdas, WD ; Vithana, E ; Nongpiur, ME ; Montgomery, G ; Xu, L ; Mountain, JE ; Gharahkhani, P ; Lu, Y ; Amin, N ; Karssen, LC ; Sim, K-S ; van Leeuwen, EM ; Iglesias, AI ; Verhoeven, VJM ; Hauser, MA ; Loon, S-C ; Despriet, DDG ; Nag, A ; Venturini, C ; Sanfilippo, PG ; Schillert, A ; Kang, JH ; Landers, J ; Jonasson, F ; Cree, AJ ; van Koolwijk, LME ; Rivadeneira, F ; Souzeau, E ; Jonsson, V ; Menon, G ; Weinreb, RN ; de Jong, PTVM ; Oostra, BA ; Uitterlinden, AG ; Hofman, A ; Ennis, S ; Thorsteinsdottir, U ; Burdon, KP ; Spector, TD ; Mirshahi, A ; Saw, S-M ; Vingerling, JR ; Teo, Y-Y ; Haines, JL ; Wolfs, RCW ; Lemij, HG ; Tai, E-S ; Jansonius, NM ; Jonas, JB ; Cheng, C-Y ; Aung, T ; Viswanathan, AC ; Klaver, CCW ; Craig, JE ; Macgregor, S ; Mackey, DA ; Lotery, AJ ; Stefansson, K ; Bergen, AAB ; Young, TL ; Wiggs, JL ; Pfeiffer, N ; Wong, T-Y ; Pasquale, LR ; Hewitt, AW ; van Duijn, CM ; Hammond, CJ (NATURE PORTFOLIO, 2014-09)
    Glaucoma is characterized by irreversible optic nerve degeneration and is the most frequent cause of irreversible blindness worldwide. Here, the International Glaucoma Genetics Consortium conducts a meta-analysis of genome-wide association studies of vertical cup-disc ratio (VCDR), an important disease-related optic nerve parameter. In 21,094 individuals of European ancestry and 6,784 individuals of Asian ancestry, we identify 10 new loci associated with variation in VCDR. In a separate risk-score analysis of five case-control studies, Caucasians in the highest quintile have a 2.5-fold increased risk of primary open-angle glaucoma as compared with those in the lowest quintile. This study has more than doubled the known loci associated with optic disc cupping and will allow greater understanding of mechanisms involved in this common blinding condition.
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    Childhood gene-environment interactions and age-dependent effects of genetic variants associated with refractive error and myopia: The CREAM Consortium
    Fan, Q ; Guo, X ; Tideman, JWL ; Williams, KM ; Yazar, S ; Hosseini, SM ; Howe, LD ; St Pourcain, B ; Evans, DM ; Timpson, NJ ; McMahon, G ; Hysi, PG ; Krapohl, E ; Wang, YX ; Jonas, JB ; Baird, PN ; Wang, JJ ; Cheng, C-Y ; Teo, Y-Y ; Wong, T-Y ; Ding, X ; Wojciechowski, R ; Young, TL ; Parssinen, O ; Oexle, K ; Pfeiffer, N ; Bailey-Wilson, JE ; Paterson, AD ; Klaver, CCW ; Plomin, R ; Hammond, CJ ; Mackey, DA ; He, M ; Saw, S-M ; Williams, C ; Guggenheim, JA (NATURE PORTFOLIO, 2016-05-13)
    Myopia, currently at epidemic levels in East Asia, is a leading cause of untreatable visual impairment. Genome-wide association studies (GWAS) in adults have identified 39 loci associated with refractive error and myopia. Here, the age-of-onset of association between genetic variants at these 39 loci and refractive error was investigated in 5200 children assessed longitudinally across ages 7-15 years, along with gene-environment interactions involving the major environmental risk-factors, nearwork and time outdoors. Specific variants could be categorized as showing evidence of: (a) early-onset effects remaining stable through childhood, (b) early-onset effects that progressed further with increasing age, or (c) onset later in childhood (N = 10, 5 and 11 variants, respectively). A genetic risk score (GRS) for all 39 variants explained 0.6% (P = 6.6E-08) and 2.3% (P = 6.9E-21) of the variance in refractive error at ages 7 and 15, respectively, supporting increased effects from these genetic variants at older ages. Replication in multi-ancestry samples (combined N = 5599) yielded evidence of childhood onset for 6 of 12 variants present in both Asians and Europeans. There was no indication that variant or GRS effects altered depending on time outdoors, however 5 variants showed nominal evidence of interactions with nearwork (top variant, rs7829127 in ZMAT4; P = 6.3E-04).
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    Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error
    Fan, Q ; Verhoeven, VJM ; Wojciechowski, R ; Barathi, VA ; Hysi, PG ; Guggenheim, JA ; Hoehn, R ; Vitart, V ; Khawaja, AP ; Yamashiro, K ; Hosseini, SM ; Lehtimaki, T ; Lu, Y ; Haller, T ; Xie, J ; Delcourt, C ; Pirastu, M ; Wedenoja, J ; Gharahkhani, P ; Venturini, C ; Miyake, M ; Hewitt, AW ; Guo, X ; Mazur, J ; Huffman, JE ; Williams, KM ; Polasek, O ; Campbell, H ; Rudan, I ; Vatavuk, Z ; Wilson, JF ; Joshi, PK ; McMahon, G ; St Pourcain, B ; Evans, DM ; Simpson, CL ; Schwantes-An, T-H ; Igo, RP ; Mirshahi, A ; Cougnard-Gregoire, A ; Bellenguez, C ; Blettner, M ; Raitakari, O ; Kaehoenen, M ; Seppala, I ; Zeller, T ; Meitinger, T ; Ried, JS ; Gieger, C ; Portas, L ; van Leeuwen, EM ; Amin, N ; Uitterlinden, AG ; Rivadeneira, F ; Hofman, A ; Vingerling, JR ; Wang, YX ; Wang, X ; Boh, ET-H ; Ikram, MK ; Sabanayagam, C ; Gupta, P ; Tan, V ; Zhou, L ; Ho, CEH ; Lim, W ; Beuerman, RW ; Siantar, R ; Tai, E-S ; Vithana, E ; Mihailov, E ; Khor, C-C ; Hayward, C ; Luben, RN ; Foster, PJ ; Klein, BEK ; Klein, R ; Wong, H-S ; Mitchell, P ; Metspalu, A ; Aung, T ; Young, TL ; He, M ; Paerssinen, O ; van Duijn, CM ; Wang, JJ ; Williams, C ; Jonas, JB ; Teo, Y-Y ; David, AMM ; Oexle, K ; Yoshimura, N ; Paterson, AD ; Pfeiffer, N ; Wong, T-Y ; Baird, PN ; Stambolian, D ; Bailey-Wilson, JE ; Cheng, C-Y ; Hammond, CJ ; Klaver, CCW ; Saw, S-M ; Rahi, JS ; Korobelnik, J-F ; Kemp, JP ; Timpson, NJ ; Smith, GD ; Craig, JE ; Burdon, KP ; Fogarty, RD ; Iyengar, SK ; Chew, E ; Janmahasatian, S ; Martin, NG ; MacGregor, S ; Xu, L ; Schache, M ; Nangia, V ; Panda-Jonas, S ; Wright, AF ; Fondran, JR ; Lass, JH ; Feng, S ; Zhao, JH ; Khaw, K-T ; Wareham, NJ ; Rantanen, T ; Kaprio, J ; Pang, CP ; Chen, LJ ; Tam, PO ; Jhanji, V ; Young, AL ; Doering, A ; Raffel, LJ ; Cotch, M-F ; Li, X ; Yip, SP ; Yap, MKH ; Biino, G ; Vaccargiu, S ; Fossarello, M ; Fleck, B ; Yazar, S ; Tideman, JWL ; Tedja, M ; Deangelis, MM ; Morrison, M ; Farrer, L ; Zhou, X ; Chen, W ; Mizuki, N ; Meguro, A ; Makela, KM (NATURE PUBLISHING GROUP, 2016-04)
    Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10(-5)), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.
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    IMI - Myopia Genetics Report
    Tedja, MS ; Haarman, AEG ; Meester-Smoor, MA ; Kaprio, J ; Mackey, DA ; Guggenheim, JA ; Hammond, CJ ; Verhoeven, VJM ; Klaver, CCW ; Bailey-Wilson, JE ; Baird, PN ; Veluchamy, AB ; Biino, G ; Burdon, KP ; Campbell, H ; Chen, LJ ; Cheng, C-Y ; Chew, EY ; Craig, JE ; Cumberland, PM ; Deangelis, MM ; Delcourt, C ; Ding, X ; van Duijn, CM ; Evans, DM ; Fan, Q ; Fossarello, M ; Foster, PJ ; Gharahkhani, P ; Iglesias, AI ; Guol, X ; Haller, T ; Han, X ; Hayward, C ; He, M ; Hewitt, AW ; Hoang, Q ; Hysi, PG ; Igo, RP ; Iyengar, SK ; Jonas, JB ; Kahonen, M ; Khawaja, AP ; Klein, BE ; Klein, R ; Lass, JH ; Lee, K ; Lehtimaki, T ; Lewis, D ; Li, Q ; Li, S-M ; Lyytikainen, L-P ; MacGregor, S ; Martin, NG ; Meguro, A ; Metspalu, A ; Middlebrooks, C ; Miyake, M ; Mizuki, N ; Musolf, A ; Nickels, S ; Oexle, K ; Pang, CP ; Parssinen, O ; Paterson, AD ; Pfeiffer, N ; Polasek, O ; Rahi, JS ; Raitakari, O ; Rudan, I ; Sahebjada, S ; Saw, S-M ; Stambolian, D ; Simpson, CL ; Tai, E-S ; Tideman, JWL ; Tsujikawa, A ; Verhoeven, VJM ; Vitart, V ; Wang, N ; Wedenoja, J ; Wei, WB ; Williams, C ; Williams, KM ; Wilson, JF ; Wojciechowski, R ; Wang, YX ; Yamashiro, K ; Yam, JCS ; Yap, MKH ; Yazar, S ; Yip, SP ; Young, TL ; Zhou, X (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2019-02)
    The knowledge on the genetic background of refractive error and myopia has expanded dramatically in the past few years. This white paper aims to provide a concise summary of current genetic findings and defines the direction where development is needed. We performed an extensive literature search and conducted informal discussions with key stakeholders. Specific topics reviewed included common refractive error, any and high myopia, and myopia related to syndromes. To date, almost 200 genetic loci have been identified for refractive error and myopia, and risk variants mostly carry low risk but are highly prevalent in the general population. Several genes for secondary syndromic myopia overlap with those for common myopia. Polygenic risk scores show overrepresentation of high myopia in the higher deciles of risk. Annotated genes have a wide variety of functions, and all retinal layers appear to be sites of expression. The current genetic findings offer a world of new molecules involved in myopiagenesis. As the missing heritability is still large, further genetic advances are needed. This Committee recommends expanding large-scale, in-depth genetic studies using complementary big data analytics, consideration of gene-environment effects by thorough measurement of environmental exposures, and focus on subgroups with extreme phenotypes and high familial occurrence. Functional characterization of associated variants is simultaneously needed to bridge the knowledge gap between sequence variance and consequence for eye growth.
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    Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases (vol 9, 1864, 2018)
    Iglesias, AI ; Mishra, A ; Vitart, V ; Bykhovskaya, Y ; Hoehn, R ; Springelkamp, H ; Cuellar-Partida, G ; Gharahkhani, P ; Bailey, JNC ; Willoughby, CE ; Li, X ; Yazar, S ; Nag, A ; Khawaja, AP ; Polasek, O ; Siscovick, D ; Mitchell, P ; Tham, YC ; Haines, JL ; Kearns, LS ; Hayward, C ; Shi, Y ; van Leeuwen, EM ; Taylor, KD ; Bonnemaijer, P ; Rotter, JI ; Martin, NG ; Zeller, T ; Mills, RA ; Souzeau, E ; Staffieri, SE ; Jonas, JB ; Schmidtmann, I ; Boutin, T ; Kang, JH ; Lucas, SEM ; Wong, TY ; Beutel, ME ; Wilson, JF ; Uitterlinden, AG ; Vithana, EN ; Foster, PJ ; Hysi, PG ; Hewitt, AW ; Khor, CC ; Pasquale, LR ; Montgomery, GW ; Klaver, CCW ; Aung, T ; Pfeiffer, N ; Mackey, DA ; Hammond, CJ ; Cheng, C-Y ; Craig, JE ; Rabinowitz, YS ; Wiggs, JL ; Burdon, KP ; van Duijn, CM ; MacGregor, S ; Wang, JJ ; Rochtchina, E ; Attia, J ; Scott, R ; Holliday, EG ; Wong, TY ; Baird, PN ; Xie, J ; Inouye, M ; Viswanathan, A ; Sim, X ; Allingham, RR ; Brilliant, MH ; Budenz, DL ; Christen, WG ; Fingert, J ; Friedman, DS ; Gaasterland, D ; Gaasterland, T ; Hauser, MA ; Kraft, P ; Lee, RK ; Lichter, PR ; Liu, Y ; Loomis, SJ ; Moroi, SE ; Pericak-Vance, MA ; Realini, A ; Richards, JE ; Schuman, JS ; Scott, WK ; Singh, K ; Sit, AJ ; Vollrath, D ; Weinreb, RN ; Wollstein, G ; Zack, DJ ; Zhang, K ; Donnelly, P ; Barroso, I ; Blackwell, JM ; Bramon, E ; Brown, MA ; Casas, JP ; Corvin, A ; Deloukas, P ; Duncanson, A ; Jankowski, J ; Markus, HS ; Mathew, CG ; Palmer, CNA ; Plomin, R ; Rautanen, A ; Sawcer, SJ ; Trembath, RC ; Wood, NW ; Spencer, CCA ; Band, G ; Bellenguez, C ; Freeman, C ; Hellenthal, G ; Giannoulatou, E ; Pirinen, M ; Pearson, R ; Strange, A ; Su, Z ; Vukcevic, D ; Langford, C ; Hunt, SE ; Edkins, S ; Gwilliam, R ; Blackburn, H ; Bumpstead, SJ ; Dronov, S ; Gillman, M ; Gray, E ; Hammond, N ; Jayakumar, A ; McCann, OT ; Liddle, J ; Potter, SC ; Ravindrarajah, R ; Ricketts, M ; Waller, M ; Weston, P ; Widaa, S ; Whittaker, P (NATURE PUBLISHING GROUP, 2019-01-08)
    Emmanuelle Souzeau, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this Article. This has now been corrected in both the PDF and HTML versions of the Article.
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    A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration
    Strunz, T ; Lauwen, S ; Kiel, C ; den Hollander, A ; Weber, BHF (NATURE PORTFOLIO, 2020-01-31)
    Genome-wide association studies (GWAS) for late stage age-related macular degeneration (AMD) have identified 52 independent genetic variants with genome-wide significance at 34 genomic loci. Typically, such an approach rarely results in the identification of functional variants implicating a defined gene in the disease process. We now performed a transcriptome-wide association study (TWAS) allowing the prediction of effects of AMD-associated genetic variants on gene expression. The TWAS was based on the genotypes of 16,144 late-stage AMD cases and 17,832 healthy controls, and gene expression was imputed for 27 different human tissues which were obtained from 134 to 421 individuals. A linear regression model including each individuals imputed gene expression data and the respective AMD status identified 106 genes significantly associated to AMD variants in at least one tissue (Q-value < 0.001). Gene enrichment analysis highlighted rather systemic than tissue- or cell-specific processes. Remarkably, 31 of the 106 genes overlapped with significant GWAS signals of other complex traits and diseases, such as neurological or autoimmune conditions. Taken together, our study highlights the fact that expression of genes associated with AMD is not restricted to retinal tissue as could be expected for an eye disease of the posterior pole, but instead is rather ubiquitous suggesting processes underlying AMD pathology to be of systemic nature.
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    Pathway Analysis Integrating Genome-Wide and Functional Data Identifies PLCG2 as a Candidate Gene for Age-Related Macular Degeneration
    Waksmunski, AR ; Grunin, M ; Kinzy, TG ; Igo, RP ; Haines, JL ; Bailey, JNC ; Fritsche, LG ; Igl, W ; Grassmann, F ; Sengupta, S ; Bragg-Gresham, JL ; Burdon, KP ; Hebbring, SJ ; Wen, C ; Gorski, M ; Kim, IK ; Cho, D ; Zack, D ; Souied, E ; Scholl, HPN ; Bala, E ; Lee, KE ; Hunter, DJ ; Sardell, RJ ; Mitchell, P ; Merriam, JE ; Cipriani, V ; Hoffman, JD ; Schick, T ; Lechanteur, YTE ; Guymer, RH ; Johnson, MP ; Jiang, Y ; Stanton, CM ; Buitendijk, GHS ; Zhan, X ; Kwong, AM ; Boleda, A ; Brooks, M ; Gieser, L ; Ratnapriya, R ; Branham, KE ; Foerster, JR ; Heckenlively, JR ; Othman, M ; Vote, BJ ; Liang, HH ; Souzeau, E ; McAllister, IL ; Isaacs, T ; Hall, J ; Lake, S ; Mackey, DA ; Constable, IJ ; Craig, JE ; Kitchner, TE ; Yang, Z ; Su, Z ; Luo, H ; Chen, D ; Ouyang, H ; Flagg, K ; Lin, D ; Mao, G ; Ferreyra, H ; Stark, K ; von Strachwitz, CN ; Wolf, A ; Brandl, C ; Rudolph, G ; Olden, M ; Morrison, MA ; Morgan, DJ ; Schu, M ; Ahn, J ; Silvestri, G ; Tsironi, EE ; Park, KH ; Farrer, LA ; Orlin, A ; Brucker, A ; Li, M ; Curcio, CA ; Mohand-Said, S ; Sahel, J-A ; Audo, I ; Benchaboune, M ; Cree, AJ ; Rennie, CA ; Goverdhan, S ; Hagbi-Levi, S ; Campochiaro, P ; Katsanis, N ; Holz, FG ; Blond, F ; Blanche, H ; Deleuze, J-F ; Truitt, B ; Peachey, NS ; Meuer, SM ; Myers, CE ; Moore, EL ; Klein, R ; Hauser, MA ; Postel, EA ; Courtenay, MD ; Schwartz, SG ; Kovach, JL ; Scott, WK ; Liew, G ; Tan, AG ; Gopinath, B ; Merriam, JC ; Smith, RT ; Khan, JC ; Shahid, H ; Moore, AT ; McGrath, JA ; Laux, R ; Brantley, MA ; Agarwal, A ; Ersoy, L ; Caramoy, A ; Langmann, T ; Saksens, NTM ; de Jong, EK ; Hoyng, CB ; Cain, MS ; Richardson, AJ ; Martin, TM ; Blangero, J ; Weeks, DE ; Dhillon, B ; van Duijn, CM ; Doheny, KF ; Romm, J ; Klaver, CCW ; Hayward, C ; Gorin, MB ; Klein, ML ; Baird, PN ; den Hollander, A ; Fauser, S ; Yates, JRW ; Allikmets, R ; Wang, JJ ; Schaumberg, DA ; Klein, BEK ; Hagstrom, SA ; Chowers, I ; Lotery, AJ ; Leveillard, T ; Zhang, K ; Brilliant, MH ; Hewitt, AW ; Swaroop, A ; Chew, EY ; Pericak-Vance, MA ; DeAngelis, M ; Stambolian, D ; Iyengar, SK ; Weber, BHF ; Abecasis, GR ; Heid, IM (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2019-09)
    PURPOSE: Age-related macular degeneration (AMD) is the worldwide leading cause of blindness among the elderly. Although genome-wide association studies (GWAS) have identified AMD risk variants, their roles in disease etiology are not well-characterized, and they only explain a portion of AMD heritability. METHODS: We performed pathway analyses using summary statistics from the International AMD Genomics Consortium's 2016 GWAS and multiple pathway databases to identify biological pathways wherein genetic association signals for AMD may be aggregating. We determined which genes contributed most to significant pathway signals across the databases. We characterized these genes by constructing protein-protein interaction networks and performing motif analysis. RESULTS: We determined that eight genes (C2, C3, LIPC, MICA, NOTCH4, PLCG2, PPARA, and RAD51B) "drive" the statistical signals observed across pathways curated in the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Gene Ontology (GO) databases. We further refined our definition of statistical driver gene to identify PLCG2 as a candidate gene for AMD due to its significant gene-level signals (P < 0.0001) across KEGG, Reactome, GO, and NetPath pathways. CONCLUSIONS: We performed pathway analyses on the largest available collection of advanced AMD cases and controls in the world. Eight genes strongly contributed to significant pathways from the three larger databases, and one gene (PLCG2) was central to significant pathways from all four databases. This is, to our knowledge, the first study to identify PLCG2 as a candidate gene for AMD based solely on genetic burden. Our findings reinforce the utility of integrating in silico genetic and biological pathway data to investigate the genetic architecture of AMD.
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    Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error
    Fan, Q ; Pozarickij, A ; Tan, NYQ ; Guo, X ; Verhoeven, VJM ; Vitart, V ; Guggenheim, JA ; Miyake, M ; Tideman, JWL ; Khawaja, AP ; Zhang, L ; MacGregor, S ; Hoehn, R ; Chen, P ; Biino, G ; Wedenoja, J ; Saffari, SE ; Tedja, MS ; Xie, J ; Lanca, C ; Wang, YX ; Sahebjada, S ; Mazur, J ; Mirshahi, A ; Martin, NG ; Yazar, S ; Pennell, CE ; Yap, M ; Haarman, AEG ; Enthoven, CA ; Polling, J ; Hewitt, AW ; Jaddoe, VWV ; van Duijn, CM ; Hayward, C ; Polasek, O ; Tai, E-S ; Yoshikatsu, H ; Hysi, PG ; Young, TL ; Tsujikawa, A ; Wang, JJ ; Mitchell, P ; Pfeiffer, N ; Parssinen, O ; Foster, PJ ; Fossarello, M ; Yip, SP ; Williams, C ; Hammond, CJ ; Jonas, JB ; He, M ; Mackey, DA ; Wong, T-Y ; Klaver, CCW ; Saw, S-M ; Baird, PN ; Cheng, C-Y (NATURE PORTFOLIO, 2020-03-19)
    Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia.