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Common Variants on Chromosome 9p21 Are Associated with Normal Tension Glaucoma

Overview of attention for article published in PLOS ONE, July 2012
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Title
Common Variants on Chromosome 9p21 Are Associated with Normal Tension Glaucoma
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040107
Pubmed ID
Authors

Mitsuko Takamoto, Toshikatsu Kaburaki, Akihiko Mabuchi, Makoto Araie, Shiro Amano, Makoto Aihara, Atsuo Tomidokoro, Aiko Iwase, Fumihiko Mabuchi, Kenji Kashiwagi, Shiroaki Shirato, Noriko Yasuda, Hidetoshi Kawashima, Fumiko Nakajima, Jiro Numaga, Yoshiya Kawamura, Tsukasa Sasaki, Katsushi Tokunaga

Abstract

Although intraocular pressure (IOP) is the most definitive cause of glaucoma, a subtype of open angle glaucoma (OAG) termed normal tension glaucoma (NTG), which occurs in spite of normal IOP, accounts for a large part of glaucoma cases, especially in Japan. To find common genetic variants contributing to NTG in Japanese patients, we conducted a genome-wide association study (GWAS). We performed the first screening for 531,009 autosomal SNPs with a discovery cohort of 286 cases and 557 controls, and then a second screening for the top 30 suggestive loci in an independent cohort of 183 cases and 514 controls. Our findings identified a significantly associated SNP; rs523096 [combined p-value = 7.40× 10(-8), odds ratio (OR)= 2.00 with 95% confidence interval (CI) 1.55-2.58] located 10 kbp upstream of CDKN2B on chromosome 9p21. Moreover, analysis of another independent case-control set successfully replicated the results of the screening studies (combined values of all 3 stages p = 4.96 × 10(-11), OR= 2.13 with 95% CI 1.69-2.68). The SNPs near rs523096 were recently reported to be associated with OAG associated with elevated IOP in primary open-angle glaucoma (POAG), the predominant subtype of glaucoma in Caucasian populations. Our results revealed that the 9p21 locus is also associated with NTG in Japanese. In addition, we identified SNPs more strongly associated with NTG.

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Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 4 11%
Professor 4 11%
Other 3 8%
Student > Postgraduate 3 8%
Other 8 22%
Unknown 7 19%
Readers by discipline Count As %
Medicine and Dentistry 12 32%
Biochemistry, Genetics and Molecular Biology 6 16%
Agricultural and Biological Sciences 6 16%
Computer Science 2 5%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 8 22%