0000000001313542
AUTHOR
Adolfo Correa
showing 12 related works from this author
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
2021
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
2021
Additional file 4. Assessment of genomic inflation and heterogeneity.
Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization…
2021
AbstractThe QT interval is an electrocardiographic measure representing the sum of ventricular depolarization (QRS duration) and repolarization (JT interval). Abnormalities of the QT interval are associated with potentially fatal ventricular arrhythmia. We conducted genome-wide multi-ancestry analyses in >250,000 individuals and identified 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identified associations with Mendelian disease genes. Enrichments were observed in established pathways for QT and JT, with new genes indicated in insulin-receptor signalling and cardiac energy meta…
Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
2021
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
2021
Additional file 6. Review history.
Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
2021
Additional file 5. Colocalization plots.
Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
2021
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
2021
Additional file 5. Colocalization plots.
Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
2021
Additional file 6. Review history.
Genome-wide association studies identify 137 loci for DNA methylation biomarkers of ageing
2020
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
2021
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
2021
Additional file 2. Supplementary Tables -Tables S1-S31.