Claire L. Hastie-Aukim

Thames Ditton, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 9 publications

Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Journal: Nature genetics

Published: August 21, 2022

Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Journal: Nature genetics

Published: January 21, 2021

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Journal: Nature genetics

Published: May 01, 2020

Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Journal: Nature genetics

Published: January 10, 2019

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

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

Journal: Nature communications

Published: April 28, 2017

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Journal: Nature genetics

Published: December 05, 2016

Detection of candidate biomarkers of prostate cancer progression in serum: a depletion-free 3D LC/MS quantitative proteomics pilot study.

Detection of candidate biomarkers of prostate cancer progression in serum: a depletion-free 3D LC/MS quantitative proteomics pilot study.

Journal: British journal of cancer

Published: March 23, 2016

Study of cellular oncometabolism via multidimensional protein identification technology.

Study of cellular oncometabolism via multidimensional protein identification technology.

Journal: Methods in enzymology

Published: June 14, 2014

Identification of markers of prostate cancer progression using candidate gene expression.

Identification of markers of prostate cancer progression using candidate gene expression.

Journal: British journal of cancer

Published: November 15, 2011

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Last Updated: 09/26/2026