Literature DB >> 30054556

Genome-wide association study suggests four variants influencing outcomes with ranibizumab therapy in exudative age-related macular degeneration.

Masato Akiyama1,2,3, Atsushi Takahashi4,5, Yukihide Momozawa6, Satoshi Arakawa7,8,9, Fuyuki Miya10,11, Tatsuhiko Tsunoda10,11, Kyota Ashikawa6, Yuji Oshima7,12, Miho Yasuda7, Shigeo Yoshida7, Hiroshi Enaida7,13, Xue Tan14, Yasuo Yanagi14,15,16, Tsutomu Yasukawa17, Yuichiro Ogura17, Yoshimi Nagai18, Kanji Takahashi18, Kimihiko Fujisawa8, Maiko Inoue19, Akira Arakawa19,20, Koji Tanaka21, Mitsuko Yuzawa21, Kazuaki Kadonosono22, Koh-Hei Sonoda7, Tatsuro Ishibashi7, Michiaki Kubo6.   

Abstract

To identify factors associated with ranibizumab responses in patients with exudative age-related macular degeneration (AMD), we performed a genome-wide association study (GWAS) and a replication study using a total of 919 exudative AMD patients treated with intravitreal ranibizumab in a Japanese population. In the combined analysis of GWAS and the replication study, no loci reached genome-wide significant level; however, we found four variants showed suggestive level of associations with visual loss at month three (rs17822656, rs76150532, rs17296444, and rs75165563: Pcombined < 1.0 × 10-5). Of the candidate genes within these loci, three were relevant to VEGF-related pathway (KCNMA1, SOCS2, and OTX2). The proportions of patients who worsened visual acuity were 13.7%, 38.8%, 58.0%, and 80.0% in patients with 0, 1, 2, and 3 or more identified risk variants, respectively. Changes in visual acuity decreased linearly as the number of risk variants increased (P = 1.67 × 10-12). The area under the curve using age, baseline visual acuity, and history of previous treatment was 0.607, and improved significantly to 0.713 in combination with identified variants (P < 0.0001). Although further study is needed to confirm their associations, our results offer candidate variants influencing response to ranibizumab therapy.

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Year:  2018        PMID: 30054556     DOI: 10.1038/s10038-018-0493-0

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  30 in total

1.  A high-throughput SNP typing system for genome-wide association studies.

Authors:  Y Ohnishi; T Tanaka; K Ozaki; R Yamada; H Suzuki; Y Nakamura
Journal:  J Hum Genet       Date:  2001       Impact factor: 3.172

Review 2.  The prevalence of age-related macular degeneration in Asians: a systematic review and meta-analysis.

Authors:  Ryo Kawasaki; Miho Yasuda; Su Jeong Song; Shih-Jen Chen; Jost B Jonas; Jie Jin Wang; Paul Mitchell; Tien Y Wong
Journal:  Ophthalmology       Date:  2010-01-27       Impact factor: 12.079

3.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

4.  CRADD, a novel human apoptotic adaptor molecule for caspase-2, and FasL/tumor necrosis factor receptor-interacting protein RIP.

Authors:  M Ahmad; S M Srinivasula; L Wang; R V Talanian; G Litwack; T Fernandes-Alnemri; E S Alnemri
Journal:  Cancer Res       Date:  1997-02-15       Impact factor: 12.701

5.  Ranibizumab versus verteporfin for neovascular age-related macular degeneration.

Authors:  David M Brown; Peter K Kaiser; Mark Michels; Gisele Soubrane; Jeffrey S Heier; Robert Y Kim; Judy P Sy; Susan Schneider
Journal:  N Engl J Med       Date:  2006-10-05       Impact factor: 91.245

6.  The influence of genetics on response to treatment with ranibizumab (Lucentis) for age-related macular degeneration: the Lucentis Genotype Study (an American Ophthalmological Society thesis).

Authors:  Peter James Francis
Journal:  Trans Am Ophthalmol Soc       Date:  2011-12

7.  Baseline predictors for one-year visual outcomes with ranibizumab or bevacizumab for neovascular age-related macular degeneration.

Authors:  Gui-shuang Ying; Jiayan Huang; Maureen G Maguire; Glenn J Jaffe; Juan E Grunwald; Cynthia Toth; Ebenezer Daniel; Michael Klein; Dante Pieramici; John Wells; Daniel F Martin
Journal:  Ophthalmology       Date:  2012-10-06       Impact factor: 12.079

8.  Pharmacogenetics for genes associated with age-related macular degeneration in the Comparison of AMD Treatments Trials (CATT).

Authors:  Stephanie A Hagstrom; Gui-Shuang Ying; Gayle J T Pauer; Gwen M Sturgill-Short; Jiayan Huang; David G Callanan; Ivana K Kim; Michael L Klein; Maureen G Maguire; Daniel F Martin
Journal:  Ophthalmology       Date:  2013-01-18       Impact factor: 12.079

9.  Association of complement factor H and LOC387715 genotypes with response of exudative age-related macular degeneration to intravitreal bevacizumab.

Authors:  Milam A Brantley; Amy M Fang; Jennifer M King; Asheesh Tewari; Steven M Kymes; Alan Shiels
Journal:  Ophthalmology       Date:  2007-12       Impact factor: 12.079

10.  Pharmacogenetic associations with long-term response to anti-vascular endothelial growth factor treatment in neovascular AMD patients.

Authors:  Un Chul Park; Joo Young Shin; Linda C McCarthy; Sang Jin Kim; Jung Hyun Park; Hum Chung; Hyeong Gon Yu
Journal:  Mol Vis       Date:  2014-12-19       Impact factor: 2.367

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  6 in total

1.  Genetic Association Analysis of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration.

Authors:  Tobias Strunz; Michael Pöllmann; Maria-Andreea Gamulescu; Svenja Tamm; Bernhard H F Weber
Journal:  Int J Mol Sci       Date:  2022-05-29       Impact factor: 6.208

2.  Association between Polymorphisms in CFH, ARMS2, CFI, and C3 Genes and Response to Anti-VEGF Treatment in Neovascular Age-Related Macular Degeneration.

Authors:  Oyuna S Kozhevnikova; Anzhella Zh Fursova; Anna S Derbeneva; Ida F Nikulich; Mikhail S Tarasov; Vasiliy A Devyatkin; Yulia V Rumyantseva; Darya V Telegina; Nataliya G Kolosova
Journal:  Biomedicines       Date:  2022-07-10

3.  Integrated bioinformatics analysis of aberrantly-methylated differentially-expressed genes and pathways in age-related macular degeneration.

Authors:  Yinchen Shen; Mo Li; Kun Liu; Xiaoyin Xu; Shaopin Zhu; Ning Wang; Wenke Guo; Qianqian Zhao; Ping Lu; Fudong Yu; Xun Xu
Journal:  BMC Ophthalmol       Date:  2020-03-24       Impact factor: 2.209

4.  Genetic biomarkers in the VEGF pathway predicting response to anti-VEGF therapy in age-related macular degeneration.

Authors:  Irina Balikova; Laurence Postelmans; Brigitte Pasteels; Pascale Coquelet; Janet Catherine; Azra Efendic; Yoshikatsu Hosoda; Masahiro Miyake; Kenji Yamashiro; Bernard Thienpont; Diether Lambrechts
Journal:  BMJ Open Ophthalmol       Date:  2019-12-17

5.  Predictive Biomarkers of Age-Related Macular Degeneration Response to Anti-VEGF Treatment.

Authors:  Ana I Oca; Álvaro Pérez-Sala; Ana Pariente; Rodrigo Ochoa; Sara Velilla; Rafael Peláez; Ignacio M Larráyoz
Journal:  J Pers Med       Date:  2021-12-08

6.  An emerging spectrum of variants and clinical features in KCNMA1-linked channelopathy.

Authors:  Jacob P Miller; Hans J Moldenhauer; Sotirios Keros; Andrea L Meredith
Journal:  Channels (Austin)       Date:  2021-12       Impact factor: 2.581

  6 in total

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