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1. Genome-wide association study of thoracic aortic aneurysm and dissection in the Million Veteran Program

2. Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target

4. Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation

5. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma

6. Stroke genetics informs drug discovery and risk prediction across ancestries

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

8. “PMS2CL interference leading to erroneous identification of a pathogenic PMS2 variant in Black Patients”

9. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

11. Biallelic BRCA Loss and Homologous Recombination Deficiency in Nonbreast/Ovarian Tumors in Germline BRCA1/2 Carriers

12. The joint effect of air pollution exposure and copy number variation on risk for autism

13. Genetic risk models: Influence of model size on risk estimates and precision

14. Genotype-First Approach Identifies an Association between rs28374544/FOG2 S657G and Liver Disease through Alterations in mTORC1 Signaling.

15. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

17. PMS2CL interference leading to erroneous identification of a pathogenic PMS2 variant in Black patients

18. Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets

20. The phenotypic legacy of admixture between modern humans and Neandertals

21. Benefits of Accurate Imputations in GWAS

22. Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts

23. Genetics of height and risk of atrial fibrillation: A Mendelian randomization study

24. Quality Control Procedures for Genome‐Wide Association Studies

25. Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets

26. Probing the Virtual Proteome to Identify Novel Disease Biomarkers

31. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

32. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank

34. HUMAN GENOMICS: The phenotypic legacy of admixture between modern humans and Neandertals

35. The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population.

36. Multi-ancestry gene-trait connection landscape using electronic health record (EHR) linked biobank data

37. Novel EDGE encoding method enhances ability to identify genetic interactions

38. Mapping the human genetic architecture of COVID-19

39. Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals

40. Association of the V122I Hereditary Transthyretin Amyloidosis Genetic Variant With Heart Failure Among Individuals of African or Hispanic/Latino Ancestry

41. Genetic liability for substance use associated with medical comorbidities in electronic health records of African‐ and European‐ancestry individuals.

43. Design and Implementation of the International Genetics and Translational Research in Transplantation Network

46. A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers

47. Collective feature selection to identify crucial epistatic variants

48. PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger

49. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

50. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

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