Literature DB >> 28534081

Power of pedigree likelihood analysis in extended pedigrees to classify rare variants of uncertain significance in cancer risk genes.

Elisabeth A Rosenthal1, John Michael O Ranola2, Brian H Shirts2.   

Abstract

Rare and private variants of uncertain significance (VUS) are routinely identified in clinical panel, exome, and genome sequencing. We investigated the power of single family co-segregation analysis to aid classification of VUS. We simulated thousands of pedigrees using demographics in China and the United States, segregating benign and pathogenic variants. Genotypes and phenotypes were simulated using penetrance models for Lynch syndrome and breast/ovarian cancer. We calculated LOD scores adjusted for proband ascertainment (LODadj), to determine power to yield quantitative evidence for, or against, pathogenicity of the VUS. Power to classify VUS was higher for Chinese than United States pedigrees. The number of affected individuals explained the most variation in LODadj (21-38%). The distance to the furthest affected relative (FAR) from the proband explained 1-7% of the variation for the benign VUS and Lynch associated cancers. Minimum age of onset (MAO) explained 5-13% of the variation in families with pathogenic breast/ovarian cancer variants. Random removal of 50% of the phenotype/genotype data reduced power and the variation in LODadj was best explained by FAR followed by the number of affected individuals and MAO when the founder was only two generations from the proband. Power to classify benign variants was ~2x power to classify pathogenic variants. Affecteds-only analysis resulted in virtually no power to correctly classify benign variants and reduced power to classify pathogenic variants. These results can be used to guide recruitment efforts to classify rare and private VUS.

Entities:  

Keywords:  Breast cancer; LOD score; Lynch syndrome; Ovarian cancer; Private VUS; Variant classification

Mesh:

Year:  2017        PMID: 28534081      PMCID: PMC5699967          DOI: 10.1007/s10689-017-9989-6

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  27 in total

Review 1.  A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).

Authors:  Noralane M Lindor; Lucia Guidugli; Xianshu Wang; Maxime P Vallée; Alvaro N A Monteiro; Sean Tavtigian; David E Goldgar; Fergus J Couch
Journal:  Hum Mutat       Date:  2011-11-03       Impact factor: 4.878

2.  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

3.  Likelihood ratios to assess genetic evidence for clinical significance of uncertain variants: hereditary hemorrhagic telangiectasia as a model.

Authors:  Pinar Bayrak-Toydemir; Jamie McDonald; Rong Mao; Amit Phansalkar; Friederike Gedge; Jorge Robles; David Goldgar; Elaine Lyon
Journal:  Exp Mol Pathol       Date:  2008-04-08       Impact factor: 3.362

4.  Joint linkage and association analysis with exome sequence data implicates SLC25A40 in hypertriglyceridemia.

Authors:  Elisabeth A Rosenthal; Jane Ranchalis; David R Crosslin; Amber Burt; John D Brunzell; Arno G Motulsky; Deborah A Nickerson; Ellen M Wijsman; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2013-11-21       Impact factor: 11.025

5.  Penetrance of ATM Gene Mutations in Breast Cancer: A Meta-Analysis of Different Measures of Risk.

Authors:  Monica Marabelli; Su-Chun Cheng; Giovanni Parmigiani
Journal:  Genet Epidemiol       Date:  2016-04-25       Impact factor: 2.135

6.  Follow-up of carriers of BRCA1 and BRCA2 variants of unknown significance: variant reclassification and surgical decisions.

Authors:  Mitzi L Murray; Felecia Cerrato; Robin L Bennett; Gail P Jarvik
Journal:  Genet Med       Date:  2011-12       Impact factor: 8.822

7.  Large numbers of individuals are required to classify and define risk for rare variants in known cancer risk genes.

Authors:  Brian H Shirts; Angela Jacobson; Gail P Jarvik; Brian L Browning
Journal:  Genet Med       Date:  2013-12-19       Impact factor: 8.822

8.  Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Authors:  Sharon E Plon; Diana M Eccles; Douglas Easton; William D Foulkes; Maurizio Genuardi; Marc S Greenblatt; Frans B L Hogervorst; Nicoline Hoogerbrugge; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.

Authors:  Miguel de la Hoya; Omar Soukarieh; Irene López-Perolio; Ana Vega; Logan C Walker; Yvette van Ierland; Diana Baralle; Marta Santamariña; Vanessa Lattimore; Juul Wijnen; Philip Whiley; Ana Blanco; Michela Raponi; Jan Hauke; Barbara Wappenschmidt; Alexandra Becker; Thomas V O Hansen; Raquel Behar; KConFaB Investigators; Diether Niederacher; Norbert Arnold; Bernd Dworniczak; Doris Steinemann; Ulrike Faust; Wendy Rubinstein; Peter J Hulick; Claude Houdayer; Sandrine M Caputo; Laurent Castera; Tina Pesaran; Elizabeth Chao; Carole Brewer; Melissa C Southey; Christi J van Asperen; Christian F Singer; Jan Sullivan; Nicola Poplawski; Phuong Mai; Julian Peto; Nichola Johnson; Barbara Burwinkel; Harald Surowy; Stig E Bojesen; Henrik Flyger; Annika Lindblom; Sara Margolin; Jenny Chang-Claude; Anja Rudolph; Paolo Radice; Laura Galastri; Janet E Olson; Emily Hallberg; Graham G Giles; Roger L Milne; Irene L Andrulis; Gord Glendon; Per Hall; Kamila Czene; Fiona Blows; Mitul Shah; Qin Wang; Joe Dennis; Kyriaki Michailidou; Lesley McGuffog; Manjeet K Bolla; Antonis C Antoniou; Douglas F Easton; Fergus J Couch; Sean Tavtigian; Maaike P Vreeswijk; Michael Parsons; Huong D Meeks; Alexandra Martins; David E Goldgar; Amanda B Spurdle
Journal:  Hum Mol Genet       Date:  2016-03-23       Impact factor: 6.150

10.  Family Studies for Classification of Variants of Uncertain Classification: Current Laboratory Clinical Practice and a New Web-Based Educational Tool.

Authors:  Lauren T Garrett; Nathan Hickman; Angela Jacobson; Robin L Bennett; Laura M Amendola; Elisabeth A Rosenthal; Brian H Shirts
Journal:  J Genet Couns       Date:  2016-07-16       Impact factor: 2.537

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  2 in total

1.  A comparison of cosegregation analysis methods for the clinical setting.

Authors:  John Michael O Rañola; Quanhui Liu; Elisabeth A Rosenthal; Brian H Shirts
Journal:  Fam Cancer       Date:  2018-04       Impact factor: 2.375

2.  Prevalence of germline variants in consensus moderate-to-high-risk predisposition genes to hereditary breast and ovarian cancer in BRCA1/2-negative Brazilian patients.

Authors:  Renan Gomes; Pricila da Silva Spinola; Ayslan Castro Brant; Bruna Palma Matta; Caroline Macedo Nascimento; Silvia Maria de Aquino Paes; Cibele Rodrigues Bonvicino; Anna Claudia Evangelista Dos Santos; Miguel Angelo Martins Moreira
Journal:  Breast Cancer Res Treat       Date:  2020-10-30       Impact factor: 4.872

  2 in total

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