Evaluation of the causal associations between brain imaging-derived phenotypes and type 2 diabetes: a bidirectional Mendelian randomization study
Dong, S.-S.; Yu, K.; Tang, S.-H.; Guo, J.; Guo, Y.; Yang, T.-L.
Show abstract
OBJECTIVETo investigate whether the association between brain imaging-derived phenotypes (IDPs) and Type 2 diabetes (T2D) related traits is causal. DESIGNTwo sample, bidirectional Mendelian randomization study. SETTINGGenome wide association study (GWAS) summary data taken from various cohorts comprised of the general population (mainly composed of Europeans). PARTICIPANTSSummary data were used from previous GWAS. For IDPs, the data included up to 33,224 European individuals from the UK Biobank. For T2D-related traits, the number of participants ranged from 63,396 to 455,313. MAIN OUTCOME MEASURESA total of 587 reliable IDPs and five T2D-related traits (T2D, fasting glucose, 2h-glucose post-challenge, glycated hemoglobin, and fasting insulin). RESULTSWe identified 3 IDPs with potential causal effects on T2D or fasting insulin. For example, we observed that the area of the right rostral middle frontal cortex was negatively associated with the T2D risk (OR = 0.74, 95% CI 0.65 to 0.85, P = 1.31 x 10-5). In addition, we identified potential causal effects of T2D-related traits on 6 IDPs. For example, T2D was negatively associated with the volumes of the right superior frontal gyrus ({beta} = -0.05, 95% CI -0.08 to -0.03, P = 2.17 x 10-5) and the right paracentral lobule ({beta} = -0.05, 95% CI -0.07 to -0.02, P = 1.74 x 10-4). CONCLUSIONSOur results revealed strong genetic evidence for the bidirectional causal associations between brain neuroimaging phenotypes and T2D-related traits. This will contribute to better prediction and intervention for the risk of T2D.
Matching journals
The top 15 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- High-throughput Genetic Clustering of Type 2 Diabetes Loci Reveals Heterogeneous Mechanistic Pathways of Metabolic Disease 93%
- The power of TOPMed imputation for the discovery of Latino enriched rare variants associated with type 2 diabetes 92%
- Birth weight, BMI in adulthood and latent autoimmune diabetes in adults: A Mendelian randomization study 92%
Similar papers in this journal
- Investigation of Genetic Variants and Causal Biomarkers Associated with Brain Aging 93%
- Identification of metabolomics biomarkers for type 2 diabetes: triangulating evidence from longitudinal and Mendelian randomization analyses 93%
- Optimization of Multi-Ancestry Polygenic Risk Score Disease Prediction Models 92%
Similar papers in this journal
- Genome-wide analysis of blood lipid metabolites in over 5,000 South Asians reveals biological insights at cardiometabolic disease loci 92%
- Associations between maternal pre-pregnancy BMI and infant striatal mean diffusivity 91%
- Clinical improvement of DM1 patients reflected by reversal of disease-induced gene expression in blood 91%
Similar papers in this journal
- Associations of four biological age markers with child development: A multi-omic analysis in the European HELIX cohort 92%
- Type 2 diabetes mellitus accelerates brain aging and cognitive decline: complementary findings from UK Biobank and meta-analyses 91%
- Exploiting the mediating role of the metabolome to unravel transcript-to-phenotype associations 91%
Similar papers in this journal
- The circulating proteome and brain health: Mendelian randomisation and cross-sectional analyses 94%
- Neuroanatomical correlates of genetic risk for obesity in children 93%
- Causal effect of C-reactive protein and vitamin D on human cerebral anatomy observed among genetically correlated biomarkers in blood 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.