Literature DB >> 16267036

Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.

Thaddeus Judkins1, Brant C Hendrickson, Amie M Deffenbaugh, Kristilyn Eliason, Benoît Leclair, Michael J Norton, Brian E Ward, Dmitri Pruss, Thomas Scholl.   

Abstract

This work describes an approach to characterize the clinical significance of genetic variants detected during the genetic testing of BRCA1 in patients from hereditary breast/ovarian cancer families. Results from transgenic mice and extensive clinical testing support the hypothesis that biallelic BRCA1 mutations result in embryonic lethality. Therefore, it is reasonable to conclude that variants of uncertain clinical significance found to reside in trans with known deleterious mutations impart reduced risk for cancer. This approach was applied to a large data set of 55,630 patients who underwent clinical BRCA1 screening by whole gene direct DNA sequencing. Fourteen common single nucleotide polymorphisms (SNPs) were used to assign 10 previously defined common, recurrent, or canonical haplotypes in 99% of these cases. From a total of 1,477 genetic variants detected in these patients, excluding haplotype-tagging SNPs, 877 (59%) could be unambiguously assigned to one or more haplotypes. In 41 instances, variants previously classified as being of uncertain clinical significance, mostly missense variants, were excluded as fully penetrant mutations due to their coincidence in trans with known deleterious mutations. From a total of 1,150 patients that harbored these 41 variants, 956 carried one as the sole variant of uncertain clinical significance reported. This approach could have widespread application to other disease genes where compound heterozygous mutations are incompatible with life or result in obvious phenotypes. This largely computational technique is advantageous because it relies upon existing clinical data and is likely to prove informative for prevalent genetic variants in large data sets.

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Year:  2005        PMID: 16267036     DOI: 10.1158/0008-5472.CAN-05-1241

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  32 in total

1.  BRCA1/BRCA2 gene mutations/SNPs and BRCA1 haplotypes in early-onset breast cancer patients of Indian ethnicity.

Authors:  Abida Juwle; Dhananjaya Saranath
Journal:  Med Oncol       Date:  2012-07-03       Impact factor: 3.064

2.  Determination of cancer risk associated with germ line BRCA1 missense variants by functional analysis.

Authors:  Marcelo A Carvalho; Sylvia M Marsillac; Rachel Karchin; Siranoush Manoukian; Scott Grist; Ramona F Swaby; Turan P Urmenyi; Edson Rondinelli; Rosane Silva; Luis Gayol; Lisa Baumbach; Rebecca Sutphen; Jennifer L Pickard-Brzosowicz; Katherine L Nathanson; Andrej Sali; David Goldgar; Fergus J Couch; Paolo Radice; Alvaro N A Monteiro
Journal:  Cancer Res       Date:  2007-02-15       Impact factor: 12.701

3.  Functional assays for classification of BRCA2 variants of uncertain significance.

Authors:  Daniel J Farrugia; Mukesh K Agarwal; Vernon S Pankratz; Amie M Deffenbaugh; Dmitry Pruss; Cynthia Frye; Linda Wadum; Kiley Johnson; Jennifer Mentlick; Sean V Tavtigian; David E Goldgar; Fergus J Couch
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

Review 4.  BRCA1 gene variant p.P142H associated with male breast cancer: a two-generation genealogic study and literature review.

Authors:  Claudio Spinelli; Silvia Strambi; Lorenzo Piccini; Leonardo Rossi; Paolo Aretini; Adelaide Caligo
Journal:  Fam Cancer       Date:  2015-12       Impact factor: 2.375

5.  BRCA1/2 sequence variants of uncertain significance: a primer for providers to assist in discussions and in medical management.

Authors:  Noralane M Lindor; David E Goldgar; Sean V Tavtigian; Sharon E Plon; Fergus J Couch
Journal:  Oncologist       Date:  2013-04-24

6.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

7.  Genetic evidence and integration of various data sources for classifying uncertain variants into a single model.

Authors:  David E Goldgar; Douglas F Easton; Graham B Byrnes; Amanda B Spurdle; Edwin S Iversen; Marc S Greenblatt
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

8.  Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.

Authors:  Marcelo Carvalho; Maria A Pino; Rachel Karchin; Jennifer Beddor; Martha Godinho-Netto; Rafael D Mesquita; Renato S Rodarte; Danielle C Vaz; Viviane A Monteiro; Siranoush Manoukian; Mara Colombo; Carla B Ripamonti; Richard Rosenquist; Graeme Suthers; Ake Borg; Paolo Radice; Scott A Grist; Alvaro N A Monteiro; Blase Billack
Journal:  Mutat Res       Date:  2008-10-17       Impact factor: 2.433

9.  Clinically applicable models to characterize BRCA1 and BRCA2 variants of uncertain significance.

Authors:  Andrew D Spearman; Kevin Sweet; Xiao-Ping Zhou; Jane McLennan; Fergus J Couch; Amanda Ewart Toland
Journal:  J Clin Oncol       Date:  2008-09-29       Impact factor: 44.544

10.  Efficiency of BRCAPRO and Myriad II mutation probability thresholds versus cancer history criteria alone for BRCA1/2 mutation detection.

Authors:  J J T van Harssel; C E P van Roozendaal; Y Detisch; R D Brandão; A D C Paulussen; M Zeegers; M J Blok; E B Gómez García
Journal:  Fam Cancer       Date:  2010-06       Impact factor: 2.375

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