Genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis

Ana Luiza Arruda, April Hartley, Georgia Katsoula, George Davey Smith, Andrew P. Morris, Eleftheria Zeggini

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Multimorbidity is a rising public health challenge with important implications for health management and policy. The most common multimorbidity pattern is the combination of cardiometabolic and osteoarticular diseases. Here, we study the genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis. We find genome-wide genetic correlation between the two diseases and robust evidence for association-signal colocalization at 18 genomic regions. We integrate multi-omics and functional information to resolve the colocalizing signals and identify high-confidence effector genes, including FTO and IRX3, which provide proof-of-concept insights into the epidemiologic link between obesity and both diseases. We find enrichment for lipid metabolism and skeletal formation pathways for signals underpinning the knee and hip osteoarthritis comorbidities with type 2 diabetes, respectively. Causal inference analysis identifies complex effects of tissue-specific gene expression on comorbidity outcomes. Our findings provide insights into the biological basis for the type 2 diabetes-osteoarthritis disease co-occurrence.

Original languageEnglish
Pages (from-to)1304-1318
Number of pages15
JournalAmerican Journal of Human Genetics
Volume110
Issue number8
DOIs
StatePublished - 3 Aug 2023

Keywords

  • colocalization analysis
  • Mendelian randomization
  • multimorbidity
  • osteoarthritis
  • statistical genetics
  • type 2 diabetes

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