Early-life hallmarks of polygenic liability to adult internalizing-cardiometabolic multimorbidity
Tsang, R. S. M.; Stow, D.; Katzourou, I. K.; LINC Consortium, ; van den Bree, M. B. M.; Khandaker, G. M.; Timpson, N. J.
Show abstract
BackgroundInternalizing disorders and cardiometabolic disease are common conditions that frequently co-occur in later life and may be attributed to shared genetic influences. While phenotypic effects of polygenic liability of adult disorders may emerge early in life, studies have not investigated this in the context of multimorbidity. This study set out to investigate early manifestations of polygenic liability to adult internalizing-cardiometabolic multimorbidity (ICM-MM) in a UK population birth cohort. MethodsWe used data from 5,821 individuals in the Avon Longitudinal Study of Parents and Children (ALSPAC). We modelled trajectories of 12 mental and cardiometabolic health outcomes using mixed effects models, and investigated effects of adult ICM-MM polygenic liability on these trajectories. We also investigated associations of adult ICM-MM polygenic liability with circulating inflammatory proteins (Olink Target 96 Inflammation panel) at ages 9 and 24. ResultsAdult ICM-MM polygenic liability is associated with cardiometabolic traits and inflammation, and with changes in depressive symptoms and cardiometabolic traits over time in childhood through to early adulthood. A notable early life biological footprint is inflammation. We found that higher ICM-MM polygenic liability is consistently associated with higher interleukin-6 (IL6), tumor necrosis family superfamily member 14 (TNFSF14) and hepatocyte growth factor (HGF) levels in both childhood and early adulthood. ConclusionsAdult ICM-MM polygenic liability manifests early in life through changes in mental and cardiometabolic health and blood biomarkers, especially in increases of circulating inflammatory proteins related to obesity, immune cell chemotaxis and migration that may contribute to disease pathogenesis by seeding inflammation in relevant tissues.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of rare loss of function variation regulating body fat distribution 93%
- Age at Menarche and Coronary Artery Disease Risk: Divergent Associations with Different Sources of Variation 93%
- The relationships between MASLD, extrahepatic multimorbidity and all-cause mortality in UK Biobank cohort 92%
Similar papers in this journal
- Immune-Neuroendocrine Patterning and Response to Stress. A latent profile analysis in the English Longitudinal Study of Ageing 93%
- Blood Immuno-metabolic Biomarker Signatures of Depression and Affective Symptoms in Young Adults 92%
- Associations Between Major Psychiatric Disorder Polygenic Risk Scores and Blood-Based Markers in UK Biobank 92%
Similar papers in this journal
- Genome-wide association study of body fat distribution traits in Hispanics/Latinos from the HCHS/SOL Study 94%
- Heritability and family-based GWAS analyses of the N-acyl ethanolamine and ceramide plasma lipidome 94%
- The impact of fatty acids biosynthesis on the risk of cardiovascular diseases in Europeans and East Asians: A Mendelian randomization study 94%
Similar papers in this journal
- Epigenetic clocks predict prevalence and incidence of leading causes of death and disease burden 94%
- DNAm scores for serum GDF15 and NT-proBNP levels associate with a range of traits affecting the body and brain 93%
- Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes. 92%
Similar papers in this journal
- Adults prenatally exposed to the Dutch Famine exhibit a metabolic signature associated with a broad spectrum of common diseases 94%
- Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomization using polygenic risk scores 93%
- Genome-wide analysis of blood lipid metabolites in over 5,000 South Asians reveals biological insights at cardiometabolic disease loci 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.