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

2. Associations of autozygosity with a broad range of human phenotypes

3. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

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

5. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

6. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

7. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

8. A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes

9. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

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

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

12. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

13. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

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

15. Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood

16. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

17. Associations of autozygosity with a broad range of human phenotypes

18. A catalog of genetic loci associated with kidney function from analyses of a million individuals

19. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

20. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

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