Rui-Ying Yin

Abstract Blood metabolites are critical biomarkers linking genetic variation to diverse health outcomes, exhibiting significant variability across individuals. Here, we analyze and integrate whole-genome sequencing with plasma metabolomics to investigate the genetic architecture of 313 metabolic biomarkers in up to 199,138 UK Biobank participants. Through single-variant analyses, we identify 36,105 independent signals, with 22.20% being novel.

1 Introduction Chronic pain constitutes a major component of global disability and disease burden,[1] affecting ≈27.5% of the population worldwide,[2] and reaching 27%–60% in individuals over 60 years old across healthcare surveys.[3-5] Chronic pain, characterized by varying pain sites and changes in pain perception and tolerance[6] during ageing process, often coexists with functional disabilities and increased risk of mortality in the elderly population.[4, 7] Thus, the need for effective...