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2. New insights into the (epi)genetics of twinning.

3. Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity.

4. DNA methylation in peripheral tissues and Left-handedness

5. Epigenome-wide association study of left-handedness for different tissues and ages

6. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

7. Heritability estimates for 361 blood metabolites across 40 genome-wide association studies

8. Genetics and Not Shared Environment Explains Familial Resemblance in Adult Metabolomics Data

9. Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies

10. MOESM3 of Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs

11. Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

12. Additional file 3: Figure S1. of Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs

13. Additional file 2: Figure S1. of Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs

14. Additional file 14: of Blood lipids influence DNA methylation in circulating cells

15. Additional file 4: of Blood lipids influence DNA methylation in circulating cells

16. Additional file 12: of Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

17. Additional file 3: of Blood lipids influence DNA methylation in circulating cells

18. Additional file 2: of Blood lipids influence DNA methylation in circulating cells

19. Additional file 9: of Blood lipids influence DNA methylation in circulating cells

20. Additional file 1: Figure S1. of Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs

21. Additional file 5: Figure S1. of Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs

22. eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.

23. Additional file 1: of Blood lipids influence DNA methylation in circulating cells

24. Additional file 1: of Blood lipids influence DNA methylation in circulating cells

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