Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration

Cell Rep Med. 2023 Jul 18;4(7):101085. doi: 10.1016/j.xcrm.2023.101085. Epub 2023 Jun 21.

Abstract

Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal AMD-associated metabolites. We find limited evidence linking urine metabolites to AMD risk. Our study emphasizes the contribution of plasma metabolites, particularly lipid-related pathways and genes, to AMD risk and uncovers numerous putative causal associations between metabolites and AMD risk.

Keywords: AMD; CLSA; Canadian Longitudinal Study of Aging; GWASs; HCHS/SOL; HPFS; Health Professionals Follow Up Study; Hispanic Community Health Study/Study of Latinos; MR; Mendelian randomization; NHS; Nurses’ Health Study; UK Biobank; age-related macular degeneration; genome-wide association studies; genomics; metabolomics.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Bayes Theorem
  • Genome-Wide Association Study*
  • Humans
  • Macular Degeneration* / genetics
  • Macular Degeneration* / metabolism
  • Metabolome / genetics
  • Metabolomics