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1. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.

2. An investigation into DNA methylation patterns associated with risk preference in older individuals.

3. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.

4. The power of genetic diversity in genome-wide association studies of lipids.

5. Validation of differentially methylated microRNAs identified from an epigenome-wide association study; Sanger and next generation sequencing approaches.

6. Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease

7. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease

8. A saturated map of common genetic variants associated with human height

9. The power of genetic diversity in genome-wide association studies of lipids

10. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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