0000000000559819
AUTHOR
Lili Milani
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.
Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure.
AbstractLong and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups using 1 degree of freedom (1df) interaction and 2df joint tests. Primary multi-ancestry analyses in 62,969 individuals in stage 1 identified 3 novel loci that were replicated in an additional 59,296 individuals in stage 2, including rs7…
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 …
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
Contains fulltext : 155360.pdf (Publisher’s version ) (Closed access) Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and b…
Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder
Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generat…
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.