PGS Catalog
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Ancestry Data
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breast cancer
,
glaucoma
,
BMI
,
EFO_0001645
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breast cancer
,
glaucoma
,
BMI
,
EFO_0001645
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https://www.galaxus.ch/en/sector/showdiscussion/snaphack24-com-visit-kunghaccom-vvbciauk-223174
Search results for "
https://www.galaxus.ch/en/sector/showdiscussion/snaphack24-com-visit-kunghaccom-vvbciauk-223174
"
Publications
8
Polygenic Scores for Adult Testosterone and SHBG Levels Are Associated With Reproductive Hormone Levels in Male Infants.
Busch AS et al. (2024) - J Clin Endocrinol Metab
PMID
:38412310
doi
:10.1210/clinem/dgae104
PGP
000725
PGS developed
0
-
PGS evaluated
2
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction.
Jia G et al. (2024) - Nat Genet
PMID
:38741014
doi
:10.1038/s41588-024-01736-4
PGP
000694
PGS developed
3
-
PGS evaluated
6
Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestry.
Li JL et al. (2026) - Nat Genet
PMID
:41629673
doi
:10.1038/s41588-026-02501-5
PGP
000774
PGS developed
10
-
PGS evaluated
10
Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer.
Barnes DR et al. (2025) - NPJ Genom Med
PMID
:41266372
doi
:10.1038/s41525-025-00529-w
PGP
000680
PGS developed
4
-
PGS evaluated
4
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants.
Barnes DR et al. (2020) - Genet Med
PMID
:32665703
doi
:10.1038/s41436-020-0862-x
PGP
000117
PGS developed
2
-
PGS evaluated
5
Polygenic risk modeling for prediction of epithelial ovarian cancer risk.
Dareng EO et al. (2022) - Eur J Hum Genet
PMID
:35027648
doi
:10.1038/s41431-021-00987-7
PGP
000277
PGS developed
2
-
PGS evaluated
2
Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.
Zhang H et al. (2020) - Nat Genet
PMID
:32424353
doi
:10.1038/s41588-020-0609-2
PGP
000088
PGS developed
5
-
PGS evaluated
7
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Wang A W et al. (2023) - Nature Genetics
PMID
:37945903
doi
:10.1038/s41588-023-01534-4
PGP
000488
PGS developed
2
-
PGS evaluated
2