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1. A deep catalogue of protein-coding variation in 983,578 individuals.

2. Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms

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

4. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals

5. Quality control and conduct of genome-wide association meta-analyses

6. Defining the role of common variation in the genomic and biological architecture of adult human height

7. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)

8. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)

9. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

10. Biological interpretation of genome-wide association studies using predicted gene functions

11. Data Descriptor: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

12. Quality control and conduct of genome-wide association meta-analyses

13. New genetic loci link adipose and insulin biology to body fat distribution

14. Biological interpretation of genome-wide association studies using predicted gene functions

15. Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits

16. Variants in autophagy genes MTMR12 and FAM134A are putative modifiers of the hepatic phenotype in α1-antitrypsin deficiency.

17. A deep catalogue of protein-coding variation in 983,578 individuals.

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

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

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

21. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.

22. Author Correction: Common and rare variant associations with clonal haematopoiesis phenotypes.

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

24. Common and rare variant associations with clonal haematopoiesis phenotypes.

25. Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk.

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

27. Multiancestry exome sequencing reveals INHBE mutations associated with favorable fat distribution and protection from diabetes.

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

29. Germline Mutations in CIDEB and Protection against Liver Disease.

30. Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort.

31. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation.

32. Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia.

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

34. Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease.

35. Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci.

36. Heterozygous variants of CLPB are a cause of severe congenital neutropenia.

37. Genetic and functional evidence links a missense variant in B4GALT1 to lower LDL and fibrinogen.

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

39. Exome sequencing and analysis of 454,787 UK Biobank participants.

40. Correction: Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.

41. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.

42. Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity.

43. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals.

44. Genome-wide analysis in 756,646 individuals provides first genetic evidence that ACE2 expression influences COVID-19 risk and yields genetic risk scores predictive of severe disease.

45. Association of structural variation with cardiometabolic traits in Finns.

46. A catalog of associations between rare coding variants and COVID-19 outcomes.

47. Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences.

48. Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution.

49. Author Correction: Exome sequencing of Finnish isolates enhances rare-variant association power.

50. Adipose Tissue Gene Expression Associations Reveal Hundreds of Candidate Genes for Cardiometabolic Traits.

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