Xin Wang1, Ying Zhang1, Mao-Nian Zhang1. 1. Department of Ophthalmology, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
Abstract
AIM: To determine whether single nucleotide polymorphism (SNP) rs641153 is associated with the risk of age-related macular degeneration (AMD), we performed a systematic meta-analysis of 15 eligible studies. SNP in the complement factor B (CFB) gene is considered to have significant association with AMD susceptibility, but there is great discrepancy in these results. METHODS: The eligible studies were identified by searching the databases of PubMed, EMBASE, and Web of Science. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association. All data were analyzed using Stata software. RESULTS: The association between rs641153 and AMD risk was statistically significant under the homozygous model (AA vs GG:OR=0.26, 95%CI=0.15-0.45, P h=0.973, I (2)=0.0%, fixed effects), dominant model (AA+GA vs GG:OR=0.49, 95%CI=0.40-0.59, P h=0.004, I (2)=56.4%, random effects) and recessive model (AA vs GA+GG:OR=0.30, 95%CI=0.17-0.51, P h=0.983, I (2)=0.0%, fixed effects). The same results were also observed in the stratified analyses by ethnicity, source of control and sample size. CONCLUSION: Our meta-analysis suggests that rs641153 in the CFB gene may play a protective role in AMD susceptibility, the late AMD in particular, both in Caucasians and in Asians.
AIM: To determine whether single nucleotide polymorphism (SNP) rs641153 is associated with the risk of age-related macular degeneration (AMD), we performed a systematic meta-analysis of 15 eligible studies. SNP in the complement factor B (CFB) gene is considered to have significant association with AMD susceptibility, but there is great discrepancy in these results. METHODS: The eligible studies were identified by searching the databases of PubMed, EMBASE, and Web of Science. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association. All data were analyzed using Stata software. RESULTS: The association between rs641153 and AMD risk was statistically significant under the homozygous model (AA vs GG:OR=0.26, 95%CI=0.15-0.45, P h=0.973, I (2)=0.0%, fixed effects), dominant model (AA+GA vs GG:OR=0.49, 95%CI=0.40-0.59, P h=0.004, I (2)=56.4%, random effects) and recessive model (AA vs GA+GG:OR=0.30, 95%CI=0.17-0.51, P h=0.983, I (2)=0.0%, fixed effects). The same results were also observed in the stratified analyses by ethnicity, source of control and sample size. CONCLUSION: Our meta-analysis suggests that rs641153 in the CFB gene may play a protective role in AMD susceptibility, the late AMD in particular, both in Caucasians and in Asians.
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
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
Authors: Kylee L Spencer; Michael A Hauser; Lana M Olson; Silke Schmidt; William K Scott; Paul Gallins; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance; Jonathan L Haines Journal: Hum Mol Genet Date: 2007-06-18 Impact factor: 6.150
Authors: Ammarin Thakkinstian; Mark McEvoy; Usha Chakravarthy; Subhabrata Chakrabarti; Gareth J McKay; Euijung Ryu; Giuliana Silvestri; Inderjeet Kaur; Peter Francis; Takeshi Iwata; Masakazu Akahori; Astrid Arning; Albert O Edwards; Johanna M Seddon; John Attia Journal: Am J Epidemiol Date: 2012-08-05 Impact factor: 4.897
Authors: Denise C Zysset-Burri; Irene Keller; Lieselotte E Berger; Carlo R Largiadèr; Matthias Wittwer; Sebastian Wolf; Martin S Zinkernagel Journal: NPJ Genom Med Date: 2020-09-01 Impact factor: 8.617
Authors: Anu Kauppinen; Jussi J Paterno; Janusz Blasiak; Antero Salminen; Kai Kaarniranta Journal: Cell Mol Life Sci Date: 2016-02-06 Impact factor: 9.261
Authors: Andrea Maugeri; Martina Barchitta; Maria Grazia Mazzone; Francesco Giuliano; Antonella Agodi Journal: Biomed Res Int Date: 2018-08-26 Impact factor: 3.411