Literature DB >> 31294896

Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants.

Melissa S Cline1, Giulia Babbi2, Sandra Bonache3, Yue Cao4, Rita Casadio2, Xavier de la Cruz5,6, Orland Díez3,5, Sara Gutiérrez-Enríquez3, Panagiotis Katsonis7, Carmen Lai8, Olivier Lichtarge7,9,10,11, Pier L Martelli2, Gilad Mishne8, Alejandro Moles-Fernández5, Gemma Montalban5, Sean D Mooney12, Robert O'Conner13, Lars Ootes5, Selen Özkan5, Natalia Padilla5, Kymberleigh A Pagel14, Vikas Pejaver12, Predrag Radivojac14,15, Casandra Riera5, Castrense Savojardo2, Yang Shen4, Yuanfei Sun4, Scott Topper8, Michael T Parsons16, Amanda B Spurdle16, David E Goldgar17.   

Abstract

Testing for variation in BRCA1 and BRCA2 (commonly referred to as BRCA1/2), has emerged as a standard clinical practice and is helping countless women better understand and manage their heritable risk of breast and ovarian cancer. Yet the increased rate of BRCA1/2 testing has led to an increasing number of Variants of Uncertain Significance (VUS), and the rate of VUS discovery currently outpaces the rate of clinical variant interpretation. Computational prediction is a key component of the variant interpretation pipeline. In the CAGI5 ENIGMA Challenge, six prediction teams submitted predictions on 326 newly-interpreted variants from the ENIGMA Consortium. By evaluating these predictions against the new interpretations, we have gained a number of insights on the state of the art of variant prediction and specific steps to further advance this state of the art.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  BRCA; BRCA1; BRCA2; CAGI; CAGI5; variant interpretation

Mesh:

Substances:

Year:  2019        PMID: 31294896      PMCID: PMC6744348          DOI: 10.1002/humu.23861

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  33 in total

1.  SIFT: Predicting amino acid changes that affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  A family of evolution-entropy hybrid methods for ranking protein residues by importance.

Authors:  I Mihalek; I Res; O Lichtarge
Journal:  J Mol Biol       Date:  2004-03-05       Impact factor: 5.469

3.  Evolutionarily conserved Galphabetagamma binding surfaces support a model of the G protein-receptor complex.

Authors:  O Lichtarge; H R Bourne; F E Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  1996-07-23       Impact factor: 11.205

4.  BRCA1- and BRCA2-specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge.

Authors:  Natàlia Padilla; Alejandro Moles-Fernández; Casandra Riera; Gemma Montalban; Selen Özkan; Lars Ootes; Sandra Bonache; Orland Díez; Sara Gutiérrez-Enríquez; Xavier de la Cruz
Journal:  Hum Mutat       Date:  2019-07-03       Impact factor: 4.878

5.  ENIGMA--evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes.

Authors:  Amanda B Spurdle; Sue Healey; Andrew Devereau; Frans B L Hogervorst; Alvaro N A Monteiro; Katherine L Nathanson; Paolo Radice; Dominique Stoppa-Lyonnet; Sean Tavtigian; Barbara Wappenschmidt; Fergus J Couch; David E Goldgar
Journal:  Hum Mutat       Date:  2011-11-03       Impact factor: 4.878

6.  Genomic features defining exonic variants that modulate splicing.

Authors:  Adam Woolfe; James C Mullikin; Laura Elnitski
Journal:  Genome Biol       Date:  2010-02-16       Impact factor: 13.583

7.  A formal perturbation equation between genotype and phenotype determines the Evolutionary Action of protein-coding variations on fitness.

Authors:  Panagiotis Katsonis; Olivier Lichtarge
Journal:  Genome Res       Date:  2014-09-12       Impact factor: 9.043

8.  Analysis of protein-coding genetic variation in 60,706 humans.

Authors:  Monkol Lek; Konrad J Karczewski; Eric V Minikel; Kaitlin E Samocha; Eric Banks; Timothy Fennell; Anne H O'Donnell-Luria; James S Ware; Andrew J Hill; Beryl B Cummings; Taru Tukiainen; Daniel P Birnbaum; Jack A Kosmicki; Laramie E Duncan; Karol Estrada; Fengmei Zhao; James Zou; Emma Pierce-Hoffman; Joanne Berghout; David N Cooper; Nicole Deflaux; Mark DePristo; Ron Do; Jason Flannick; Menachem Fromer; Laura Gauthier; Jackie Goldstein; Namrata Gupta; Daniel Howrigan; Adam Kiezun; Mitja I Kurki; Ami Levy Moonshine; Pradeep Natarajan; Lorena Orozco; Gina M Peloso; Ryan Poplin; Manuel A Rivas; Valentin Ruano-Rubio; Samuel A Rose; Douglas M Ruderfer; Khalid Shakir; Peter D Stenson; Christine Stevens; Brett P Thomas; Grace Tiao; Maria T Tusie-Luna; Ben Weisburd; Hong-Hee Won; Dongmei Yu; David M Altshuler; Diego Ardissino; Michael Boehnke; John Danesh; Stacey Donnelly; Roberto Elosua; Jose C Florez; Stacey B Gabriel; Gad Getz; Stephen J Glatt; Christina M Hultman; Sekar Kathiresan; Markku Laakso; Steven McCarroll; Mark I McCarthy; Dermot McGovern; Ruth McPherson; Benjamin M Neale; Aarno Palotie; Shaun M Purcell; Danish Saleheen; Jeremiah M Scharf; Pamela Sklar; Patrick F Sullivan; Jaakko Tuomilehto; Ming T Tsuang; Hugh C Watkins; James G Wilson; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

9.  CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation.

Authors:  Panagiotis Katsonis; Olivier Lichtarge
Journal:  Hum Mutat       Date:  2019-08-07       Impact factor: 4.878

10.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

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  5 in total

1.  Predicting pathogenicity of missense variants with weakly supervised regression.

Authors:  Yue Cao; Yuanfei Sun; Mostafa Karimi; Haoran Chen; Oluwaseyi Moronfoye; Yang Shen
Journal:  Hum Mutat       Date:  2019-08-07       Impact factor: 4.878

2.  Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification.

Authors:  Michael T Parsons; Emma Tudini; Hongyan Li; Eric Hahnen; Barbara Wappenschmidt; Lidia Feliubadaló; Cora M Aalfs; Simona Agata; Kristiina Aittomäki; Elisa Alducci; María Concepción Alonso-Cerezo; Norbert Arnold; Bernd Auber; Rachel Austin; Jacopo Azzollini; Judith Balmaña; Elena Barbieri; Claus R Bartram; Ana Blanco; Britta Blümcke; Sandra Bonache; Bernardo Bonanni; Åke Borg; Beatrice Bortesi; Joan Brunet; Carla Bruzzone; Karolin Bucksch; Giulia Cagnoli; Trinidad Caldés; Almuth Caliebe; Maria A Caligo; Mariarosaria Calvello; Gabriele L Capone; Sandrine M Caputo; Ileana Carnevali; Estela Carrasco; Virginie Caux-Moncoutier; Pietro Cavalli; Giulia Cini; Edward M Clarke; Paola Concolino; Elisa J Cops; Laura Cortesi; Fergus J Couch; Esther Darder; Miguel de la Hoya; Michael Dean; Irmgard Debatin; Jesús Del Valle; Capucine Delnatte; Nicolas Derive; Orland Diez; Nina Ditsch; Susan M Domchek; Véronique Dutrannoy; Diana M Eccles; Hans Ehrencrona; Ute Enders; D Gareth Evans; Chantal Farra; Ulrike Faust; Ute Felbor; Irene Feroce; Miriam Fine; William D Foulkes; Henrique C R Galvao; Gaetana Gambino; Andrea Gehrig; Francesca Gensini; Anne-Marie Gerdes; Aldo Germani; Jutta Giesecke; Viviana Gismondi; Carolina Gómez; Encarna B Gómez Garcia; Sara González; Elia Grau; Sabine Grill; Eva Gross; Aliana Guerrieri-Gonzaga; Marine Guillaud-Bataille; Sara Gutiérrez-Enríquez; Thomas Haaf; Karl Hackmann; Thomas V O Hansen; Marion Harris; Jan Hauke; Tilman Heinrich; Heide Hellebrand; Karen N Herold; Ellen Honisch; Judit Horvath; Claude Houdayer; Verena Hübbel; Silvia Iglesias; Angel Izquierdo; Paul A James; Linda A M Janssen; Udo Jeschke; Silke Kaulfuß; Katharina Keupp; Marion Kiechle; Alexandra Kölbl; Sophie Krieger; Torben A Kruse; Anders Kvist; Fiona Lalloo; Mirjam Larsen; Vanessa L Lattimore; Charlotte Lautrup; Susanne Ledig; Elena Leinert; Alexandra L Lewis; Joanna Lim; Markus Loeffler; Adrià López-Fernández; Emanuela Lucci-Cordisco; Nicolai Maass; Siranoush Manoukian; Monica Marabelli; Laura Matricardi; Alfons Meindl; Rodrigo D Michelli; Setareh Moghadasi; Alejandro Moles-Fernández; Marco Montagna; Gemma Montalban; Alvaro N Monteiro; Eva Montes; Luigi Mori; Lidia Moserle; Clemens R Müller; Christoph Mundhenke; Nadia Naldi; Katherine L Nathanson; Matilde Navarro; Heli Nevanlinna; Cassandra B Nichols; Dieter Niederacher; Henriette R Nielsen; Kai-Ren Ong; Nicholas Pachter; Edenir I Palmero; Laura Papi; Inge Sokilde Pedersen; Bernard Peissel; Pedro Perez-Segura; Katharina Pfeifer; Marta Pineda; Esther Pohl-Rescigno; Nicola K Poplawski; Berardino Porfirio; Anne S Quante; Juliane Ramser; Rui M Reis; Françoise Revillion; Kerstin Rhiem; Barbara Riboli; Julia Ritter; Daniela Rivera; Paula Rofes; Andreas Rump; Monica Salinas; Ana María Sánchez de Abajo; Gunnar Schmidt; Ulrike Schoenwiese; Jochen Seggewiß; Ares Solanes; Doris Steinemann; Mathias Stiller; Dominique Stoppa-Lyonnet; Kelly J Sullivan; Rachel Susman; Christian Sutter; Sean V Tavtigian; Soo H Teo; Alex Teulé; Mads Thomassen; Maria Grazia Tibiletti; Marc Tischkowitz; Silvia Tognazzo; Amanda E Toland; Eva Tornero; Therese Törngren; Sara Torres-Esquius; Angela Toss; Alison H Trainer; Katherine M Tucker; Christi J van Asperen; Marion T van Mackelenbergh; Liliana Varesco; Gardenia Vargas-Parra; Raymonda Varon; Ana Vega; Ángela Velasco; Anne-Sophie Vesper; Alessandra Viel; Maaike P G Vreeswijk; Sebastian A Wagner; Anke Waha; Logan C Walker; Rhiannon J Walters; Shan Wang-Gohrke; Bernhard H F Weber; Wilko Weichert; Kerstin Wieland; Lisa Wiesmüller; Isabell Witzel; Achim Wöckel; Emma R Woodward; Silke Zachariae; Valentina Zampiga; Christine Zeder-Göß; Conxi Lázaro; Arcangela De Nicolo; Paolo Radice; Christoph Engel; Rita K Schmutzler; David E Goldgar; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2019-09       Impact factor: 4.878

3.  CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation.

Authors:  Panagiotis Katsonis; Olivier Lichtarge
Journal:  Hum Mutat       Date:  2019-08-07       Impact factor: 4.878

4.  Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort.

Authors:  Kelly M Schiabor Barrett; Max Masnick; Kathryn E Hatchell; Juliann M Savatt; Natalie Banet; Adam Buchanan; Huntington F Willard
Journal:  HGG Adv       Date:  2022-01-08

5.  LEAP: Using machine learning to support variant classification in a clinical setting.

Authors:  Carmen Lai; Anjali D Zimmer; Robert O'Connor; Serra Kim; Ray Chan; Jeroen van den Akker; Alicia Y Zhou; Scott Topper; Gilad Mishne
Journal:  Hum Mutat       Date:  2020-04-01       Impact factor: 4.878

  5 in total

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