Appendicular lean mass 2020 GWAS: males, European ancestry

• Read more about Appendicular lean mass 2020 GWAS: males, European ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.
Pei Y-F, et al.
Commun Biol. 2020 Oct 23;3(1):608. doi: 10.1038/s42003-020-01334-0.
PMID: 33097823

Appendicular lean mass 2020 GWAS: females, European ancestry

• Read more about Appendicular lean mass 2020 GWAS: females, European ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.
Pei Y-F, et al.
Commun Biol. 2020 Oct 23;3(1):608. doi: 10.1038/s42003-020-01334-0.
PMID: 33097823

Appendicular lean mass 2020 GWAS: European ancestry

• Read more about Appendicular lean mass 2020 GWAS: European ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.
Pei Y-F, et al.
Commun Biol. 2020 Oct 23;3(1):608. doi: 10.1038/s42003-020-01334-0.
PMID: 33097823

GIGASTROKE 2022 GWAS: trans-ancestry

• Read more about GIGASTROKE 2022 GWAS: trans-ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

GIGASTROKE 2022 GWAS: South Asian ancestry

• Read more about GIGASTROKE 2022 GWAS: South Asian ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

GIGASTROKE 2022 GWAS: Hispanic ancestry

• Read more about GIGASTROKE 2022 GWAS: Hispanic ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

GIGASTROKE 2022 GWAS: European ancestry

• Read more about GIGASTROKE 2022 GWAS: European ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

GIGASTROKE 2022 GWAS: East Asian ancestry

• Read more about GIGASTROKE 2022 GWAS: East Asian ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

GIGASTROKE 2022 GWAS: African American ancestry

• Read more about GIGASTROKE 2022 GWAS: African American ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Stroke genetics informs drug discovery and risk prediction across ancestries.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, et al.
Nature. 2022 Nov;611(7934):115-123. doi: 10.1038/s41586-022-05165-3.
PMID: 36180795

Heart failure 2022 GWAS: trans-ancestry

• Read more about Heart failure 2022 GWAS: trans-ancestry

Summary statistics are available for download from the GWAS Catalog.

Publications

Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.
Levin MG, et al.
Nat Commun. 2022 Nov 14;13(1):6914. doi: 10.1038/s41467-022-34216-6.
PMID: 36376295

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