Radka Kaneva

发表

AA9int: SNP interaction pattern search using non‐hierarchical additive model set

Hardev Pandha, Graham G. Giles, Christopher A. Haiman, 2018, Bioinform..

SNP interaction pattern identifier (SIPI): an intensive search for SNP‐SNP interaction patterns

Zhide Fang, Hardev Pandha, Christopher A. Haiman, 2016, Bioinform..

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

Peter Kraft, Todd L Edwards, Nazneen Rahman, 2016, Cancer discovery.

A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Peter Kraft, Jenny Donovan, Anssi Auvinen, 2014, Nature Genetics.

Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

Peter Kraft, Anssi Auvinen, Henrik Gronberg, 2013, Nature Genetics.

A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease.

Suzanne Chambers, Peter Kraft, Anssi Auvinen, 2013, Human molecular genetics.

Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

Peter Kraft, Elaine A. Ostrander, Henrik Gronberg, 2013, Human molecular genetics.

PALB2,CHEK2 and ATM rare variants and cancer risk: Data from COGS

Dong Liang, Jane E. Carpenter, Peter Kraft, 2016 .

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Nawaid Usmani, Suzanne Chambers, Martin Eklund, 2018, Nature Communications.

Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

Suzanne Chambers, Peter Kraft, Henrik Gronberg, 2011, Nature Genetics.