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Contact Details

Phone
+64 3 364 0557
Email
vanessa.lau@otago.ac.nz
Position
Research Fellow
Department
Department of Pathology and Biomedical Science (Christchurch)
Qualifications
PhD
Research summary
Breast cancer

Research

Vanessa Lattimore is investigating familial breast cancer genetics by evaluating BRCA1 and BRCA2 sequence variants with modulate isoform expression.

Publications

Lau, A. W. K., Lau, V. L., & Sakowska, M. M. (2023). Evolution of sentinel lymph node biopsy for breast cancer patients in a rural setting: 10 years' experience. New Zealand Medical Journal/Te ara tika o te hauora hapori, 136(1575), 42-49. Retrieved from https://journal.nzma.org.nz/ Journal - Research Article

Lattimore, V., Parsons, M. T., Spurdle, A. B., Pearson, J., Lehnert, K., Sullivan, J., … Morrin, H., Robinson, B., & Walker, L. (2021). Under-ascertainment of breast cancer susceptibility gene carriers in a cohort of New Zealand female breast cancer patients. Breast Cancer Research & Treatment, 185, 583-590. doi: 10.1007/s10549-020-05986-8 Journal - Research Article

Walker, L. C., Lattimore, V. L., Kvist, A., Kleiblova, P., Zemankova, P., de Jong, L., Wiggins, G. A. R., Hakkaart, C., Cree, S. L., … Kennedy, M. A., … de la Hoya, M. (2019). Comprehensive assessment of BARD1 messenger ribonucleic acid splicing with implications for variant classification. Frontiers in Genetics, 10, 1139. doi: 10.3389/fgene.2019.01139 Journal - Research Article

Parsons, M. T., Tudini, E., Li, H., Hahnen, E., Wappenschmidt, B., Feliubadaló, L., … Lattimore, V. L., … Spurdle, A. B. (2019). Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification. Human Mutation, 40, 1557-1578. doi: 10.1002/humu.23818 Journal - Research Article

Lopez-Perolio, I., Leman, R., Behar, R., Lattimore, V., Pearson, J. F., Castéra, L., … Walker, L. C., … de la Hoya, M. (2019). Alternative splicing and ACMG-AMP-2015-based classification of PALB2 genetic variants: An ENIGMA report. Journal of Medical Genetics, 56, 453-460. doi: 10.1136/jmedgenet-2018-105834 Journal - Research Article

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