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Karen Alpen

Observed name: Alpen, Karen
Observed institution: The University of Melbourne
ORCID: 0000-0001-8283-2422
Observed ORCID: 0000-0001-8283-2422
OpenAlex ID: A5044218205
Australian genome-wide association study confirms higher female risk for adult glioma associated with variants in the region of CCDC26
2022 · Karen Alpen, Claire M Vajdic, et al. · Neuro-Oncology · 14
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Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies
2024 · John L. Hopper, Shuai Li, et al. · Genetic Epidemiology · 5
The development of a DNA barcode system for species identification of Conyza spp. (fleabane)
2014 · Karen Alpen, David Gopurenko, et al. · Charles Sturt University Research Output (CRO) · 4
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Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2024 · Karen Alpen, Robert J. Maclnnis, et al. · Cancer Research Communications · 2
Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2023 · John Lai, Chi Kuen Wong, et al. · Cancer Epidemiology Biomarkers & Prevention · 2
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Genetic susceptibility and causes for early-onset breast cancer: insights from genome-wide and phenome-wide analyses
2026 · Shuhan Peng, Victoria E. Jackson, et al. · medRxiv
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Supplementary Figure S1 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S3 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S7 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S1 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S2 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S9 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S5 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Figure S2 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S4 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S6 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Supplementary Table S8 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
2026 · Karen Alpen, Robert J. Maclnnis, et al.
Table S6 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
Table S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
Table S4 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
Figure S1 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
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Figure S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
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Figure S2 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
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Figure S5 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
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Table S1 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci
2025 · John Lai, Chi Kuen Wong, et al.
Works count: 165
Citation count: 27
H-index: 3
I10-index: 1
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