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1. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

2. Meta-analyses identify DNA methylation associated with kidney function and damage

3. DNA methylation and lipid metabolism:an EWAS of 226 metabolic measures

4. Smoking-related changes in DNA methylation and gene expression are associated with cardio-metabolic traits

5. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

6. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

7. Association of methylation signals with incident coronary heart disease in an epigenome-wide assessment of circulating tumor necrosis factor α

8. A DNA methylation biomarker of alcohol consumption

9. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

10. Clinical, biochemical and genetic spectrum of 70 patients with ACAD9 deficiency: Is riboflavin supplementation effective?

11. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

12. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

13. DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

14. A meta-analysis of gene expression signatures of blood pressure and hypertension

15. Mitochondrial Disease Sequence Data Resource (MSeqDR): A global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities

16. Cell Specific eQTL Analysis without Sorting Cells

17. The transcriptional landscape of age in human peripheral blood

18. Identification of Novel Genetic Loci Associated with Thyroid Peroxidase Antibodies and Clinical Thyroid Disease

19. Systematic identification of trans eQTLs as putative drivers of known disease associations

20. Multiple loci are associated with white blood cell phenotypes

21. Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations

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