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

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

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

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

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

6. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.

7. General Framework for Meta‐Analysis of Haplotype Association Tests

8. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

9. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

10. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

12. Additional file 6 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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

14. Additional file 34 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

15. Additional file 16 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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

17. Additional file 9 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

18. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

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

20. Rare and low-frequency coding variants alter human adult height

22. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

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

26. Variation in genes coding for AMP-activated protein kinase (AMPK) and breast cancer risk in the European Prospective Investigation on Cancer (EPIC)

27. Hemochromatosis (HFE) gene mutations and risk of gastric cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) study

28. Prostate stem-cell antigen gene is associated with diffuse and intestinal gastric cancer in Caucasians: Results from the EPIC-EURGAST study

30. Gene-lifestyle interaction on risk of type 2 diabetes

32. Circulating Fetuin-A and Risk of Type 2 Diabetes

34. Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

35. Haplotypes of the porcine peroxisome proliferator-activated receptor delta gene are associated with backfat thickness

36. Interaction of Dietary and Genetic Factors Influencing Body Iron Status and Risk of Type 2 Diabetes Within the EPIC-InterAct Study

37. Circulating Fetuin-A and Risk of Type 2 Diabetes : A Mendelian Randomization Analysis

38. Circulating Fetuin-A and Risk of Type 2 Diabetes : A Mendelian Randomization Analysis

39. Circulating Fetuin-A and Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

40. Interaction of dietary and genetic factors influencing body iron status and risk of type 2 diabetes within the EPIC-InterAct study

41. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

42. Insulin-Like Growth Factor Binding Protein 2 (IGFBP-2) and the Risk of Developing Type 2 Diabetes

43. Circulating Fetuin-A and Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

44. Interaction of Dietary and Genetic Factors Influencing Body Iron Status and Risk of Type 2 Diabetes Within the EPIC-InterAct Study

45. Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes

46. Insulin-Like Growth Factor Binding Protein 2 (IGFBP-2) and the Risk of Developing Type 2 Diabetes.

47. Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes : The EPIC-InterAct Study

48. Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes: The EPIC-InterAct Study

49. Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes: The EPIC-InterAct Study

50. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

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