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Your search keyword '"Chai, Jin Fang"' showing total 33 results

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33 results on '"Chai, Jin Fang"'

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1. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.

2. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

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

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

5. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

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

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

8. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

9. Identification of type 2 diabetes loci in 433,540 East Asian individuals

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

11. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.

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

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

14. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

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

16. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

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

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

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

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

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

22. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

23. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

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

25. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

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

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

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

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

30. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

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

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

33. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

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