It is suggested that missing values in metabolomics are partially non-random and reflect potential genetic variation, and not examined as true missingness due to altered metabolism.
Abstract
Metabolomic analyses are increasingly applied in both etiological and predictive research, but frequently report missing values, which are then either imputed or removed from the analyses, and not examined as true missingness due to altered metabolism. We hypothesized that interindividual genetic variation may account for part of this missingness. We perform a logistic GWAS of metabolite missingness from an untargeted mass spectrometry-based platform in the Netherlands Epidemiology of Obesity Study (N = 594) and the Rhineland Study (N = 4,165). We consider metabolites missing in 10%-90% of individuals in both cohorts (N = 224). GWAS meta-analyses of these metabolites’ probability of missingness revealed 55 metabolome-wide significant associations, including 42 novel ones (p < 1.58 × 10–10), involving 28 metabolites and 41 lead SNPs. Despite considerable pleiotropy, the majority of identified SNP- ‘missing metabolite’ associations are biologically plausible, relating to beta-oxidation, bile acids, steroids, and xenobiotics metabolism. These findings suggest that missing values in metabolomics are partially non-random and reflect potential genetic variation.
New SNPs linked to inflammatory biomarkers in a highly admixed Brazilian population are identified, including a missense variant in an olfactory receptor gene linked to MCP-1, which may be biologically important for inflammation and could affect the risk of cardiometabolic diseases.
J. Leite, G. F. L. Pascoal, G. B. S. Duarte et al.· Frontiers in Immunology· 0 citations
This study illustrates that GWAS with high-scale imputation may still help to unravel the biological mechanism behind circulating lipid levels and identifies more new rare and low-frequency functional variants associated with circulating lipid levels.
E. V. van Leeuwen, A. Sabo, J. Bis et al.· 0 citations
Background Phenotypic age acceleration (PhenoAgeAccel), derived from PhenoAge, and MetaboHealth are composite exposures of biological ageing and metabolic health associated with dementia-related outcomes. Whether these associations are causal and reflect the exposures, constituent biomarkers, or both remains unclear. Methods This study included UK Biobank participants of White British genetic ancestry. MetaboHealth was derived from nuclear magnetic resonance (NMR) metabolomics and PhenoAgeAccel from clinical biomarkers and chronological age. Genome-wide association studies (GWAS) were conducted for MetaboHealth (n=272,568) and PhenoAgeAccel (n=274,077). Independent genome-wide significant variants were used as genetic instruments in two-sample Mendelian randomisation (MR) with FinnGen all-cause dementia summary statistics. Inverse-variance weighting was the primary MR method. Causal network analysis estimated relationships among constituent biomarkers and dementia. Findings GWAS identified 126 and 141 independent genome-wide significant variants for MetaboHealth and PhenoAgeAccel, of which 109 and 141 were retained as genetic instruments. MR found no evidence of a causal effect of genetically predicted MetaboHealth (per unit: OR 0.83, 95% CI 0.49-1.42; p=0.51) or PhenoAgeAccel (per year: OR 0.99, 95% CI 0.95-1.02; p=0.44) on all-cause dementia, with consistent findings across sensitivity analyses and robust MR methods. Lower lymphocyte percentage and higher NMR-derived glucose had direct relationships with dementia in the joint constituent-biomarker network. Interpretation MR provided no evidence that either composite exposure causally influenced dementia. The network prioritised lymphocyte percentage and NMR-derived glucose, supporting examination of composite exposures alongside their constituent biomarkers. Funding NIHR, UKRI, MRC, UK Dementia Research Institute, Innovate UK, and European Union. Full funding details are provided in the acknowledgements.
A. Baousi, K. Dobinda, J. Zhu et al.· medRxiv· 0 citations
The authors' study identified putative actionable proteins that could reduce the elevated T2D risk attributable to childhood adiposity in Europeans, but their relevance in Asian populations requires further investigation.
Siyu Chen, Yiwen Liang, Shan Luo et al.· International Journal of Epi...· 0 citations
Negativibacillus massiliensis is likely associated with an increased risk of AD, and v-VLDL FC/TL may partially mediate this association, suggesting their potential as targets for AD prevention and treatment.
Dechen Li, Yanjie Li, Xinyu Yang et al.· Nan fang yi ke da xue xue ba...· 0 citations
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