作者
Ilhan E Acar, Laura Lores-Motta, Johanna M Colijn, Magda A Meester-Smoor, Timo Verzijden, Audrey Cougnard-Gregoire, Soufiane Ajana, Benedicte MJ Merle, Anita de Breuk, Thomas J Heesterbeek, Erik van den Akker, Mohamed R Daha, Birte Claes, Daniel Pauleikhoff, Hans-Werner Hense, Cornelia M van Duijn, Sascha Fauser, Carel B Hoyng, Cécile Delcourt, Caroline CW Klaver, Tessel E Galesloot, Anneke I den Hollander, Blanca Arango-Gonzalez, Angela Armento, Franz Badura, Vaibhav Bhatia, Shomi S Bhattacharya, Marc Biarnés, Anna Borrell, Sofia M Calado, Sascha Dammeier, Berta De la Cerda, Francisco J Diaz-Corrales, Sigrid Diether, Eszter Emri, Tanja Endermann, Lucia L Ferraro, Míriam Garcia, Sabina Honisch, Ellen Kilger, Elod Kortvely, Claire Lastrucci, Hanno Langen, Imre Lengyel, Phil Luthert, Jordi Monés, Everson Nogoceke, Tunde Peto, Frances M Pool, Eduardo Rodriguez-Bocanegra, Luis Serrano, Jose Sousa, Eric Thee, Marius Ueffing, Karl U Ulrich Bartz-Schmidt, Markus Zumbansen
发表日期
2020/12/1
期刊
Ophthalmology
卷号
127
期号
12
页码范围
1693-1709
出版商
Elsevier
简介
Purpose
The current study aimed to identify metabolites associated with age-related macular degeneration (AMD) by performing the largest metabolome association analysis in AMD to date, as well as aiming to determine the effect of AMD-associated genetic variants on metabolite levels and investigate associations between the identified metabolites and activity of the complement system, one of the main AMD-associated disease pathways.
Design
Case-control association analysis of metabolomics data.
Participants
Five European cohorts consisting of 2267 AMD patients and 4266 control participants.
Methods
Metabolomics was performed using a high-throughput proton nuclear magnetic resonance metabolomics platform, which allows quantification of 146 metabolite measurements and 79 derivative values. Metabolome–AMD associations were studied using univariate logistic regression analyses. The effect of 52 …
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IE Acar, L Lores-Motta, JM Colijn, MA Meester-Smoor… - Ophthalmology, 2020