{"doi":"10.1016/j.xops.2021.100017","title":"Genomic-Metabolomic Associations Support the Role of LIPC and Glycerophospholipids in Age-Related Macular Degeneration","abstract":"PURPOSE: Large-scale genome-wide association studies (GWAS) have reported important single nucleotide polymorphisms (SNPs) with significant associations with age-related macular degeneration (AMD). However, their role in disease development remains elusive. This study aimed to assess SNP-metabolite associations (i.e., metabolite quantitative trait loci [met-QTL]) and to provide insights into the biological mechanisms of AMD risk SNPs. DESIGN: Cross-sectional multicenter study (Boston, Massachusetts, and Coimbra, Portugal). PARTICIPANTS: Patients with AMD (n = 388) and control participants (n = 98) without any vitreoretinal disease (> 50 years). METHODS: Age-related macular degeneration grading was performed using color fundus photographs according to the Age-Related Eye Disease Study classification scheme. Fasting blood samples were collected and evaluated with mass spectrometry for metabolomic profiling and Illumina OmniExpress for SNPs profiling. Analyses of met-QTL of endogenous metabolites were conducted using linear regression models adjusted for age, gender, smoking, 10 metabolite principal components (PCs), and 10 SNP PCs. Additionally, we analyzed the cumulative effect of AMD risk SNPs on plasma metabolites by generating genetic risk scores and assessing their associations with metabolites using linear regression models, accounting for the same covariates. Modeling was performed first for each cohort, and then combined by meta-analysis. Multiple comparisons were accounted for using the false discovery rate (FDR). MAIN OUTCOME MEASURES: Plasma metabolite levels associated with AMD risk SNPs. RESULTS: gene with branched-chain amino acids. Similar results were observed when considering only patients with AMD. Genetic risk score-metabolite associations further supported a global impact of AMD risk SNPs on the plasma metabolome. CONCLUSIONS: gene and the glycerophospholipid metabolic pathway may play an important role in AMD, thus offering new potential therapeutic targets for this disease.","journal":"Ophthalmology Science","year":2021,"id":189002,"datarank":0.6050314636243143,"base_score":2.772588722239781,"endowment":2.772588722239781,"self_citation_contribution":0.41588830833596724,"citation_network_contribution":0.18914315528834705,"self_endowment_contribution":0.41588830833596724,"citer_contribution":0.18914315528834705,"corpus_percentile":null,"corpus_rank":null,"citation_count":15,"citer_count":7,"citers_with_citation_signal":7,"citers_with_endowment":7,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9579,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":751616,"name":"Shujian Zhu","orcid":null,"position":1,"is_corresponding":false},{"id":231293,"name":"Xikun Han","orcid":"0000-0002-3823-7308","position":2,"is_corresponding":false},{"id":230953,"name":"Wonil Chung","orcid":"0000-0002-5766-6247","position":3,"is_corresponding":false},{"id":487717,"name":"Qianyu Yuan","orcid":null,"position":4,"is_corresponding":false},{"id":285327,"name":"Rachel S. Kelly","orcid":"0000-0003-3023-1822","position":5,"is_corresponding":false},{"id":750933,"name":"João Gil","orcid":"0000-0001-9032-1008","position":6,"is_corresponding":false},{"id":750934,"name":"Raviv Katz","orcid":"0000-0002-5305-8551","position":7,"is_corresponding":false},{"id":750935,"name":"Archana Nigalye","orcid":"0000-0003-1468-7766","position":8,"is_corresponding":false},{"id":54593,"name":"Ivana K. Kim","orcid":"0000-0003-0310-6129","position":9,"is_corresponding":false},{"id":322985,"name":"John B. Miller","orcid":"0000-0003-0109-9738","position":10,"is_corresponding":false},{"id":750936,"name":"Isabel M. Carreira","orcid":"0000-0001-6842-1707","position":11,"is_corresponding":false},{"id":750937,"name":"Rufino Silva","orcid":"0000-0001-8676-0833","position":12,"is_corresponding":false},{"id":407549,"name":"Demetrios G. Vavvas","orcid":"0000-0002-8622-6478","position":13,"is_corresponding":false},{"id":356640,"name":"Joan W. Miller","orcid":"0000-0003-2046-3996","position":14,"is_corresponding":false},{"id":218538,"name":"Jessica Lasky‐Su","orcid":"0000-0001-6236-4705","position":15,"is_corresponding":false},{"id":35194,"name":"Liming Liang","orcid":"0000-0001-8261-3174","position":16,"is_corresponding":false},{"id":726125,"name":"Deeba Husain","orcid":"0000-0002-8494-0950","position":17,"is_corresponding":false},{"id":750932,"name":"Inês Laíns","orcid":"0000-0002-8136-4724","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:49:14.547082Z","pmid":"34382031","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}