Literature DB >> 24013816

Cumulative association between age-related macular degeneration and less studied genetic variants in PLEKHA1/ARMS2/HTRA1: a meta and gene-cluster analysis.

Weihong Yu1, Shuqian Dong, Chuntao Zhao, Haina Wang, Fei Dai, Jingyun Yang.   

Abstract

The objective of this study is to examine the cumulative effect of the less studied genetic variants in PLEKHA1/ARMS2/HTRA1 on age-related macular degeneration (AMD). We performed an extensive literature search for studies on the association between AMD and the less studied genetic variants in PLEKHA1/ARMS2/HTRA1. Multiple meta-analyses were performed to evaluate the association between individual genetic variants and AMD. A gene-cluster analysis was used to investigate the cumulative effect of these less studied genetic variants on AMD. A total of 23 studies from 20 published papers met the eligibility criteria and were included in our analyses. Several genetic variants in the gene cluster are significantly associated with AMD in our meta-analyses or in individual studies. Gene-cluster analysis reveals a strong cumulative association between these genetic variants in this gene cluster and AMD (p < 10(-5)). However, two previously suspected SNPs in ARMS2, including rs2736911, the SNP having the largest number of studies in our meta-analyses; and rs3793917, the SNP with the largest sample size, were not significantly associated with AMD (both p's > 0.12). Sensitivity analyses reveal significant association of AMD with rs2736911 in Chinese but not in Caucasian, with c.372_815del443ins54 in Caucasian but not in Chinese, and with rs1049331 in both ethnic groups. These less studied genetic variants have a significant cumulative effect on wet AMD. Our study provides evidence of the joint contribution of genetic variants in PLEKHA1/ARMS2/HTRA1 to AMD risk, in addition to the two widely studied genetic variants whose association with AMD was well established.

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Year:  2013        PMID: 24013816      PMCID: PMC3864106          DOI: 10.1007/s11033-013-2656-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  48 in total

1.  Complement factor H polymorphism in age-related macular degeneration.

Authors:  Robert J Klein; Caroline Zeiss; Emily Y Chew; Jen-Yue Tsai; Richard S Sackler; Chad Haynes; Alice K Henning; John Paul SanGiovanni; Shrikant M Mane; Susan T Mayne; Michael B Bracken; Frederick L Ferris; Jurg Ott; Colin Barnstable; Josephine Hoh
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

Review 2.  Smoking and age-related macular degeneration: a review of association.

Authors:  J Thornton; R Edwards; P Mitchell; R A Harrison; I Buchan; S P Kelly
Journal:  Eye (Lond)       Date:  2005-09       Impact factor: 3.775

Review 3.  Age-related macular degeneration.

Authors:  Rama D Jager; William F Mieler; Joan W Miller
Journal:  N Engl J Med       Date:  2008-06-12       Impact factor: 91.245

4.  A variant of the HTRA1 gene increases susceptibility to age-related macular degeneration.

Authors:  Zhenglin Yang; Nicola J Camp; Hui Sun; Zongzhong Tong; Daniel Gibbs; D Joshua Cameron; Haoyu Chen; Yu Zhao; Erik Pearson; Xi Li; Jeremy Chien; Andrew Dewan; Jennifer Harmon; Paul S Bernstein; Viji Shridhar; Norman A Zabriskie; Josephine Hoh; Kimberly Howes; Kang Zhang
Journal:  Science       Date:  2006-10-19       Impact factor: 47.728

5.  Complement factor H polymorphism and age-related macular degeneration.

Authors:  Albert O Edwards; Robert Ritter; Kenneth J Abel; Alisa Manning; Carolien Panhuysen; Lindsay A Farrer
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

6.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

7.  Analysis of the indel at the ARMS2 3'UTR in age-related macular degeneration.

Authors:  Gaofeng Wang; Kylee L Spencer; William K Scott; Patrice Whitehead; Brenda L Court; Juan Ayala-Haedo; Ping Mayo; Stephen G Schwartz; Jaclyn L Kovach; Paul Gallins; Monica Polk; Anita Agarwal; Eric A Postel; Jonathan L Haines; Margaret A Pericak-Vance
Journal:  Hum Genet       Date:  2010-02-25       Impact factor: 4.132

8.  Genetic analysis of typical wet-type age-related macular degeneration and polypoidal choroidal vasculopathy in Japanese population.

Authors:  Asako Goto; Masakazu Akahori; Haru Okamoto; Masayoshi Minami; Naoki Terauchi; Yuji Haruhata; Minoru Obazawa; Toru Noda; Miki Honda; Atsushi Mizota; Minoru Tanaka; Takaaki Hayashi; Masaki Tanito; Naoko Ogata; Takeshi Iwata
Journal:  J Ocul Biol Dis Infor       Date:  2009-12-22

9.  Multilocus analysis of age-related macular degeneration.

Authors:  Julie Bergeron-Sawitzke; Bert Gold; Adam Olsh; Sarah Schlotterbeck; Kendal Lemon; Kala Visvanathan; Rando Allikmets; Michael Dean
Journal:  Eur J Hum Genet       Date:  2009-03-04       Impact factor: 4.246

10.  Age-related macular degeneration-associated variants at chromosome 10q26 do not significantly alter ARMS2 and HTRA1 transcript levels in the human retina.

Authors:  Atsuhiro Kanda; Dwight Stambolian; Wei Chen; Christine A Curcio; Gonçalo R Abecasis; Anand Swaroop
Journal:  Mol Vis       Date:  2010-07-15       Impact factor: 2.367

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  9 in total

1.  Association of coding and UTR variants in the known regions with wet age-related macular degeneration in Han Chinese population.

Authors:  Lulin Huang; Xiongze Zhang; Pancy O S Tam; Haoyu Chen; Fang Hao; Chi-Pui Pang; Fen Wen; Zhenglin Yang
Journal:  J Hum Genet       Date:  2018-07-19       Impact factor: 3.172

2.  Specific correlation between the major chromosome 10q26 haplotype conferring risk for age-related macular degeneration and the expression of HTRA1.

Authors:  Sha-Mei Liao; Wei Zheng; Jiang Zhu; Casey A Lewis; Omar Delgado; Maura A Crowley; Natasha M Buchanan; Bruce D Jaffee; Thaddeus P Dryja
Journal:  Mol Vis       Date:  2017-06-14       Impact factor: 2.367

Review 3.  Complement activation and choriocapillaris loss in early AMD: implications for pathophysiology and therapy.

Authors:  S Scott Whitmore; Elliott H Sohn; Kathleen R Chirco; Arlene V Drack; Edwin M Stone; Budd A Tucker; Robert F Mullins
Journal:  Prog Retin Eye Res       Date:  2014-12-05       Impact factor: 21.198

4.  Phenome-wide association studies (PheWASs) for functional variants.

Authors:  Zhan Ye; John Mayer; Lynn Ivacic; Zhiyi Zhou; Min He; Steven J Schrodi; David Page; Murray H Brilliant; Scott J Hebbring
Journal:  Eur J Hum Genet       Date:  2014-07-30       Impact factor: 4.246

5.  Age-related macular degeneration associated polymorphism rs10490924 in ARMS2 results in deficiency of a complement activator.

Authors:  Sven Micklisch; Yuchen Lin; Saskia Jacob; Marcus Karlstetter; Katharina Dannhausen; Prasad Dasari; Monika von der Heide; Hans-Martin Dahse; Lisa Schmölz; Felix Grassmann; Medhanie Alene; Sascha Fauser; Harald Neumann; Stefan Lorkowski; Diana Pauly; Bernhard H Weber; Antonia M Joussen; Thomas Langmann; Peter F Zipfel; Christine Skerka
Journal:  J Neuroinflammation       Date:  2017-01-05       Impact factor: 8.322

6.  Polymorphisms in Selected Genes and Their Association with Age-Related Macular Degeneration in a Chinese Population.

Authors:  Qing Huang; Yi Xiang
Journal:  Med Sci Monit       Date:  2018-03-22

7.  Transcriptome-wide analysis of differentially expressed chemokine receptors, SNPs, and SSRs in the age-related macular degeneration.

Authors:  Madhu Sudhana Saddala; Anton Lennikov; Anthony Mukwaya; Lijuan Fan; Zhengmao Hu; Hu Huang
Journal:  Hum Genomics       Date:  2019-03-20       Impact factor: 4.639

8.  Rare Genetic Variants in Jewish Patients Suffering from Age-Related Macular Degeneration.

Authors:  Nadav Shoshany; Chen Weiner; Margarita Safir; Adi Einan-Lifshitz; Russell Pokroy; Ayala Kol; Shira Modai; Noam Shomron; Eran Pras
Journal:  Genes (Basel)       Date:  2019-10-18       Impact factor: 4.096

9.  Geographic atrophy phenotype identification by cluster analysis.

Authors:  Jordi Monés; Marc Biarnés
Journal:  Br J Ophthalmol       Date:  2017-07-20       Impact factor: 4.638

  9 in total

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