Dietary omega-3 fatty acids, other fat intake, genetic susceptibility, and progression to incident geographic atrophy
Abstract
OBJECTIVE: To investigate associations between dietary omega-3 fatty acids and other fat intake, genes related to age-related macular degeneration (AMD), and progression to geographic atrophy (GA).
DESIGN: Observational analysis of a prospective cohort.
PARTICIPANTS: A total of 2531 individuals from the Age-Related Eye Disease Study, among which 525 eyes progressed to GA and 4165 eyes did not.
METHODS: Eyes without advanced AMD at baseline were evaluated for progression to GA. Behavioral data, including smoking and body mass index measurements, were collected at baseline using questionnaires. Dietary data were collected from food frequency questionnaires (FFQs) at baseline. Omega-3 fatty acids (docosahexaenoic acid [DHA] and eicosapentaenoic acid [EPA]), omega-6 fatty acids, monounsaturated, saturated, polyunsaturated, and total fat were adjusted for sex and calories and divided into quintiles (Q). Eight single nucleotide polymorphisms in 7 genes (CFH, ARMS2/HTRA1, CFB, C2, C3, CFI, and LIPC) were genotyped. Cox proportional hazards models were used to test for associations between incident GA and intake of dietary lipids and interaction effects between dietary fat intake and genetic variation on risk of GA.
MAIN OUTCOME MEASURES: Associations between dietary fat intake reported from FFQs, genetic variants, and incident GA.
RESULTS: Increased intake of DHA was significantly associated with reduced risk of progression to GA in models with behavioral factors (model A) plus…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 2,531 participants or records.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.