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Mitochondrial DNA Polymorphism A4917G Is Independently Associated with Age-Related Macular Degeneration

Overview of attention for article published in PLOS ONE, May 2008
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Title
Mitochondrial DNA Polymorphism A4917G Is Independently Associated with Age-Related Macular Degeneration
Published in
PLOS ONE, May 2008
DOI 10.1371/journal.pone.0002091
Pubmed ID
Authors

Jeffrey A. Canter, Lana M. Olson, Kylee Spencer, Nathalie Schnetz-Boutaud, Brent Anderson, Michael A. Hauser, Silke Schmidt, Eric A. Postel, Anita Agarwal, Margaret A. Pericak-Vance, Paul Sternberg, Jonathan L. Haines

Abstract

The objective of this study was to determine if MTND2*LHON4917G (4917G), a specific non-synonymous polymorphism in the mitochondrial genome previously associated with neurodegenerative phenotypes, is associated with increased risk for age-related macular degeneration (AMD). A preliminary study of 393 individuals (293 cases and 100 controls) ascertained at Vanderbilt revealed an increased occurrence of 4917G in cases compared to controls (15.4% vs.9.0%, p = 0.11). Since there was a significant age difference between cases and controls in this initial analysis, we extended the study by selecting Caucasian pairs matched at the exact age at examination. From the 1547 individuals in the Vanderbilt/Duke AMD population association study (including 157 in the preliminary study), we were able to match 560 (280 cases and 280 unaffected) on exact age at examination. This study population was genotyped for 4917G plus specific AMD-associated nuclear genome polymorphisms in CFH, LOC387715 and ApoE. Following adjustment for the listed nuclear genome polymorphisms, 4917G independently predicts the presence of AMD (OR = 2.16, 95%CI 1.20-3.91, p = 0.01). In conclusion, a specific mitochondrial polymorphism previously implicated in other neurodegenerative phenotypes (4917G) appears to convey risk for AMD independent of recently discovered nuclear DNA polymorphisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Austria 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 10 20%
Student > Doctoral Student 6 12%
Student > Bachelor 5 10%
Other 4 8%
Other 9 18%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 32%
Medicine and Dentistry 14 28%
Biochemistry, Genetics and Molecular Biology 8 16%
Neuroscience 2 4%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 6 12%