Sean V. Tavtigian

Molecular Biology · 2002–2022

A researcher in the Science corpus: 10 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 55 citations into it; #16,985 of 17,773 by trust here, #4,241 by citations
• Genetics — 48 citations into it

Whom Sean V. Tavtigian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pauline Crystal Ng

Who trusts Sean V. Tavtigian overall

1. Rajarshi Ghosh
2. Ewy A. Mathé
3. Hashem A. Shihab
4. Lea M. Starita
5. Magali Olivier

Papers from Sean V. Tavtigian's perspective

Ordered by how strongly the researchers Sean V. Tavtigian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Accounting for human polymorphisms predicted to affect protein function. (Genome Research)
2. Human Gene Mutation Database
3. The Protein Data Bank.
4. p53 and human cancer: the first ten thousand mutations. (Advances in Cancer Research)
5. Gain of function of a p53 hot spot mutation in a mouse model of Li-Fraumeni syndrome. (Cell)
6. Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome. (Cell)
7. Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral (Journal of Medical Genetics)
8. Surfing the p53 network (Nature)
9. The IARC TP53 database: New online mutation analysis and recommendations to users (Human Mutation)
10. Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods (Nucleic Acids Research)

Their papers

• Whole-Genome Shotgun Assembly and Analysis of the Genome of Fugu rubripes (2002) — 1,595 citations
• Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database (2007) — 1,725 citations
• Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods (2006) — 352 citations
• RAD51 and Breast Cancer Susceptibility: No Evidence for Rare Variant Association in the Breast Cancer Family Registry Study (2012) — 34 citations
• Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria (2022) — 419 citations
• Modeling the ACMG/AMP Variant Classification Guidelines as a Bayesian Classification Framework (2018) — 498 citations
• Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk (2015) — 863 citations
• Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral (2005) — 687 citations
• A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). (2002) — 2,330 citations
• Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals. (2002) — 909 citations