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Vanessa Lattimore

Research Fellow

PhD(Otago)

Email vanessa.lau@otago.ac.nz
Tel +64 3 364 0557

Research interests

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

Otago profile

Vanessa Lattimore thumbnail
PhD candidate Vanessa Lattimore has a strong history of breast cancer in her family. Three of five sisters in her family tree either suffered from or died of breast cancer.
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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/

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

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

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

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

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