0000000000559782
AUTHOR
Shengxu Li
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Abstract Background Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Results Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci ass…
Additional file 4 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 4. Assessment of genomic inflation and heterogeneity.
Meta-Analysis of the INSIG2 Association with Obesity Including 74,345 Individuals: Does Heterogeneity of Estimates Relate to Study Design?
The INSIG2 rs7566605 polymorphism was identified for obesity (BMI≥30 kg/m2) in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345), including general population (GP) studies, population-based studies with subjects selected for conditions related to a better health status (‘healthy population’, HP), and obesity studies (OB). We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213) combining the different study designs did not support overall association of the CC-genotype with obesity, yielding an odds ratio (OR) of 1.05 (p-va…
Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 3. Supplementary Figures - Figures S1-S31.
Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 6. Review history.
Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults
Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n= 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult s…
Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 5. Colocalization plots.
Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 1. Individual cohort descriptions and acknowledgements.
Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 5. Colocalization plots.
Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 6. Review history.
Genome-wide association studies identify 137 loci for DNA methylation biomarkers of ageing
AbstractBiological ageing estimators derived from DNA methylation (DNAm) data are heritable and correlate with morbidity and mortality. Leveraging DNAm and SNP data from >41,000 individuals, we identify 137 genome-wide significant loci (113 novel) from meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We report strong genetic correlations with longevity and lifestyle factors such as smoking, education, and obesity. Significant associations are observed in polygenic risk score analysis and to a lesser extent in Mendelian randomization analyses. This study illuminates the genetic …
Additional file 2 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 2. Supplementary Tables -Tables S1-S31.
Additional file 2 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
Additional file 2. Supplementary Tables -Tables S1-S31.