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Your search keyword '"Chen, M.-H. (Ming-Huei)"' showing total 21 results

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21 results on '"Chen, M.-H. (Ming-Huei)"'

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1. The Polygenic and Monogenic Basis of Blood Traits and Diseases

2. Large-scale whole-exome sequencing association studies identify rare functional variants influencing serum urate levels

3. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis

4. 1000 Genomes-based metaanalysis identifies 10 novel loci for kidney function

5. Comparison of HapMap and 1000 genomes reference panels in a large-scale genome-wide association study

6. Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits

7. Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits

8. Genome-wide association studies identify genetic loci for low von Willebrand factor levels

9. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits

10. Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis

11. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals

12. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

13. Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF

14. SORCS1 contributes to the development of renal disease in rats and humans

15. Common genetic variation at the IL1RL1 locus regulates IL-33/ST2 signaling

16. Common variants in mendelian kidney disease genes and their association with renal function

17. Genome-wide association and functional follow-up reveals new loci for kidney function

18. Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation

19. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

20. Identification of nine novel loci associated with white blood cell subtypes in a Japanese population

21. Multiple loci are associated with white blood cell phenotypes

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