Triglyceride levels in non-T2D 2022 GWAS: European ancestry
Publications
Genome-wide discovery for diabetes-dependent triglycerides-associated loci.
Selvaraj MS, et al.
PMID: 36269708
Genome-wide discovery for diabetes-dependent triglycerides-associated loci.
Selvaraj MS, et al.
PMID: 36269708
Genome-wide discovery for diabetes-dependent triglycerides-associated loci.
Selvaraj MS, et al.
PMID: 36269708
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
Summary statistics are available for download from the GIANT Consortium.
A saturated map of common genetic variants associated with human height.
Yengo L, Vedantam S, Marouli E, et al.
Nature. 2022 Oct;610(7933):704-712. doi: 10.1038/s41586-022-05275-y.
PMID: 36224396
This study integrated results from multiple methods to prioritize putative kidney function effector genes at loci genetically associated with eGFRcrea.