基本信息
浏览量:2
职业迁徙
个人简介
There is great heterogeneity among individuals in their risk of developing cancer, their disease progression and their responses to therapy. This heterogeneity is a major obstacle in designing uniformly effective prevention, screening and treatment strategies and motivates the large effort to personalize these interventions. Both rare and common inherited genetic variants have great potential to help us better understand human cancer and to serve as important biomarkers in the clinic. Genome-wide association studies (GWASs) have identified hundreds of commonly inherited single nucleotide polymorphisms (SNPs) significantly associated with allelic differences in cancer susceptibility. Whole genome sequencing of cancer patients is identifying hundreds of rare novel potential pathogenic variants. Despite these findings, major challenges remain in translating these associations into clinical applications.
My laboratory aims to improve the understanding and management of cancer heterogeneity with inherited genetic information, using a combination of computational, epidemiological and experimental techniques. During the course of our work we have been focusing on developing and executing studies to determine genotype-phenotype relationships from large, human genotype and sequencing databases. We aim to include both computational and experimental biologists, as well as functional genomic and molecular techniques in order test causalities behind associations and to incorporate genetic findings into new drug treatment regimes.
My laboratory aims to improve the understanding and management of cancer heterogeneity with inherited genetic information, using a combination of computational, epidemiological and experimental techniques. During the course of our work we have been focusing on developing and executing studies to determine genotype-phenotype relationships from large, human genotype and sequencing databases. We aim to include both computational and experimental biologists, as well as functional genomic and molecular techniques in order test causalities behind associations and to incorporate genetic findings into new drug treatment regimes.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Anna J. Wiecek,Stephen J. Cutty, Daniel Kornai, Mario Parreno-Centeno, Lucie E. Gourmet,Guidantonio Malagoli Tagliazucchi,Daniel H. Jacobson,Ping Zhang,Lingyun Xiong,Gareth L. Bond,Alexis R. Barr,Maria Secrier
GENOME BIOLOGYno. 1 (2023): 128-35
medrxiv(2022)
Anna J. Wiecek,Stephen J. Cutty, Daniel Kornai,Mario Parreno-Centeno, Lucie E. Gourmet,Guidantonio Malagoli Tagliazucchi,Daniel H. Jacobson,Ping Zhang,Lingyun Xiong,Gareth L. Bond,Alexis R. Barr,Maria Secrier
biorxiv(2021)
biorxiv(2019)
Ivy Zortéa S Parise,Guilherme A Parise,Lúcia Noronha, Mirvat Surakhy,Thiago Demetrius Woiski,Denise B Silva, Tatiana Ei-Jaick B Costa, Maria Helena C P Del-Valle,Heloisa Komechen,Roberto Rosati,Melyssa Grignet Ribeiro,Marilza Leal Nascimento,
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn