Literature DB >> 24618965

Clinical interpretation and implications of whole-genome sequencing.

Frederick E Dewey1, Megan E Grove1, Cuiping Pan2, Benjamin A Goldstein3, Jonathan A Bernstein4, Hassan Chaib2, Jason D Merker5, Rachel L Goldfeder6, Gregory M Enns4, Sean P David3, Neda Pakdaman3, Kelly E Ormond7, Colleen Caleshu8, Kerry Kingham9, Teri E Klein10, Michelle Whirl-Carrillo10, Kenneth Sakamoto11, Matthew T Wheeler1, Atul J Butte12, James M Ford9, Linda Boxer3, John P A Ioannidis13, Alan C Yeung14, Russ B Altman15, Themistocles L Assimes14, Michael Snyder16, Euan A Ashley1, Thomas Quertermous1.   

Abstract

IMPORTANCE: Whole-genome sequencing (WGS) is increasingly applied in clinical medicine and is expected to uncover clinically significant findings regardless of sequencing indication.
OBJECTIVES: To examine coverage and concordance of clinically relevant genetic variation provided by WGS technologies; to quantitate inherited disease risk and pharmacogenomic findings in WGS data and resources required for their discovery and interpretation; and to evaluate clinical action prompted by WGS findings. DESIGN, SETTING, AND PARTICIPANTS: An exploratory study of 12 adult participants recruited at Stanford University Medical Center who underwent WGS between November 2011 and March 2012. A multidisciplinary team reviewed all potentially reportable genetic findings. Five physicians proposed initial clinical follow-up based on the genetic findings. MAIN OUTCOMES AND MEASURES: Genome coverage and sequencing platform concordance in different categories of genetic disease risk, person-hours spent curating candidate disease-risk variants, interpretation agreement between trained curators and disease genetics databases, burden of inherited disease risk and pharmacogenomic findings, and burden and interrater agreement of proposed clinical follow-up.
RESULTS: Depending on sequencing platform, 10% to 19% of inherited disease genes were not covered to accepted standards for single nucleotide variant discovery. Genotype concordance was high for previously described single nucleotide genetic variants (99%-100%) but low for small insertion/deletion variants (53%-59%). Curation of 90 to 127 genetic variants in each participant required a median of 54 minutes (range, 5-223 minutes) per genetic variant, resulted in moderate classification agreement between professionals (Gross κ, 0.52; 95% CI, 0.40-0.64), and reclassified 69% of genetic variants cataloged as disease causing in mutation databases to variants of uncertain or lesser significance. Two to 6 personal disease-risk findings were discovered in each participant, including 1 frameshift deletion in the BRCA1 gene implicated in hereditary breast and ovarian cancer. Physician review of sequencing findings prompted consideration of a median of 1 to 3 initial diagnostic tests and referrals per participant, with fair interrater agreement about the suitability of WGS findings for clinical follow-up (Fleiss κ, 0.24; P < 001). CONCLUSIONS AND RELEVANCE: In this exploratory study of 12 volunteer adults, the use of WGS was associated with incomplete coverage of inherited disease genes, low reproducibility of detection of genetic variation with the highest potential clinical effects, and uncertainty about clinically reportable findings. In certain cases, WGS will identify clinically actionable genetic variants warranting early medical intervention. These issues should be considered when determining the role of WGS in clinical medicine.

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Mesh:

Year:  2014        PMID: 24618965      PMCID: PMC4119063          DOI: 10.1001/jama.2014.1717

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  43 in total

1.  Evidence of a founder mutation of BRCA1 in a highly homogeneous population from southern Italy with breast/ovarian cancer.

Authors:  F Baudi; B Quaresima; C Grandinetti; G Cuda; C Faniello; P Tassone; V Barbieri; R Bisegna; E Ricevuto; S Conforti; A Viel; P Marchetti; C Ficorella; P Radice; F Costanzo; S Venuta
Journal:  Hum Mutat       Date:  2001-08       Impact factor: 4.878

Review 2.  Mitochondrial DNA polymerase-gamma and human disease.

Authors:  Gavin Hudson; Patrick F Chinnery
Journal:  Hum Mol Genet       Date:  2006-10-15       Impact factor: 6.150

3.  Actionable, pathogenic incidental findings in 1,000 participants' exomes.

Authors:  Michael O Dorschner; Laura M Amendola; Emily H Turner; Peggy D Robertson; Brian H Shirts; Carlos J Gallego; Robin L Bennett; Kelly L Jones; Mari J Tokita; James T Bennett; Jerry H Kim; Elisabeth A Rosenthal; Daniel S Kim; Holly K Tabor; Michael J Bamshad; Arno G Motulsky; C Ronald Scott; Colin C Pritchard; Tom Walsh; Wylie Burke; Wendy H Raskind; Peter Byers; Fuki M Hisama; Deborah A Nickerson; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2013-09-19       Impact factor: 11.025

Review 4.  Pharmacogenomics knowledge for personalized medicine.

Authors:  M Whirl-Carrillo; E M McDonagh; J M Hebert; L Gong; K Sangkuhl; C F Thorn; R B Altman; T E Klein
Journal:  Clin Pharmacol Ther       Date:  2012-10       Impact factor: 6.875

5.  Randomized trial of personal genomics for preventive cardiology: design and challenges.

Authors:  Joshua W Knowles; Themistocles L Assimes; Michaela Kiernan; Aleksandra Pavlovic; Benjamin A Goldstein; Veronica Yank; Michael V McConnell; Devin Absher; Carlos Bustamante; Euan A Ashley; John P A Ioannidis
Journal:  Circ Cardiovasc Genet       Date:  2012-06

6.  BRCA1 5083del19 mutant allele selectively up-regulates periostin expression in vitro and in vivo.

Authors:  Barbara Quaresima; Francesco Romeo; Maria C Faniello; Maddalena Di Sanzo; Chang-Gong Liu; Annamaria Lavecchia; Cristian Taccioli; Eugenio Gaudio; Francesco Baudi; Francesco Trapasso; Carlo M Croce; Giovanni Cuda; Francesco Costanzo
Journal:  Clin Cancer Res       Date:  2008-11-01       Impact factor: 12.531

7.  Deleterious- and disease-allele prevalence in healthy individuals: insights from current predictions, mutation databases, and population-scale resequencing.

Authors:  Yali Xue; Yuan Chen; Qasim Ayub; Ni Huang; Edward V Ball; Matthew Mort; Andrew D Phillips; Katy Shaw; Peter D Stenson; David N Cooper; Chris Tyler-Smith
Journal:  Am J Hum Genet       Date:  2012-12-07       Impact factor: 11.025

8.  A systematic survey of loss-of-function variants in human protein-coding genes.

Authors:  Daniel G MacArthur; Suganthi Balasubramanian; Adam Frankish; Ni Huang; James Morris; Klaudia Walter; Luke Jostins; Lukas Habegger; Joseph K Pickrell; Stephen B Montgomery; Cornelis A Albers; Zhengdong D Zhang; Donald F Conrad; Gerton Lunter; Hancheng Zheng; Qasim Ayub; Mark A DePristo; Eric Banks; Min Hu; Robert E Handsaker; Jeffrey A Rosenfeld; Menachem Fromer; Mike Jin; Xinmeng Jasmine Mu; Ekta Khurana; Kai Ye; Mike Kay; Gary Ian Saunders; Marie-Marthe Suner; Toby Hunt; If H A Barnes; Clara Amid; Denise R Carvalho-Silva; Alexandra H Bignell; Catherine Snow; Bryndis Yngvadottir; Suzannah Bumpstead; David N Cooper; Yali Xue; Irene Gallego Romero; Jun Wang; Yingrui Li; Richard A Gibbs; Steven A McCarroll; Emmanouil T Dermitzakis; Jonathan K Pritchard; Jeffrey C Barrett; Jennifer Harrow; Matthew E Hurles; Mark B Gerstein; Chris Tyler-Smith
Journal:  Science       Date:  2012-02-17       Impact factor: 47.728

9.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

10.  The Human Gene Mutation Database: 2008 update.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Howells; Andrew D Phillips; Nick St Thomas; David N Cooper
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

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  205 in total

Review 1.  The long tail and rare disease research: the impact of next-generation sequencing for rare Mendelian disorders.

Authors:  Tony Shen; Ariel Lee; Carol Shen; C Jimmy Lin
Journal:  Genet Res (Camb)       Date:  2015-09-14       Impact factor: 1.588

2.  Challenges of using next generation sequencing in newborn screening.

Authors:  Eyal Reinstein
Journal:  Genet Res (Camb)       Date:  2015-11-02       Impact factor: 1.588

3.  Automatic Placement of Genomic Research Results in Medical Records: Do Researchers Have a Duty? Should Participants Have a Choice?

Authors:  Anya E R Prince; John M Conley; Arlene M Davis; Gabriel Lázaro-Muñoz; R Jean Cadigan
Journal:  J Law Med Ethics       Date:  2015       Impact factor: 1.718

4.  CYP2A6 genotyping methods and strategies using real-time and end point PCR platforms.

Authors:  Catherine A Wassenaar; Qian Zhou; Rachel F Tyndale
Journal:  Pharmacogenomics       Date:  2015-12-15       Impact factor: 2.533

5.  Is the ``$1000 Genome'' really $1000? Understanding the full benefits and costs of genomic sequencing.

Authors:  Kathryn A Phillips; Mark J Pletcher; Uri Ladabaum
Journal:  Technol Health Care       Date:  2015       Impact factor: 1.285

6.  Returning a Genomic Result for an Adult-Onset Condition to the Parents of a Newborn: Insights From the BabySeq Project.

Authors:  Ingrid A Holm; Amy McGuire; Stacey Pereira; Heidi Rehm; Robert C Green; Alan H Beggs
Journal:  Pediatrics       Date:  2019-01       Impact factor: 7.124

7.  Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.

Authors:  Edward D Esplin; Ling Oei; Michael P Snyder
Journal:  Pharmacogenomics       Date:  2014-11       Impact factor: 2.533

Review 8.  The Changing Landscape of Genetic Testing for Inherited Breast Cancer Predisposition.

Authors:  Anosheh Afghahi; Allison W Kurian
Journal:  Curr Treat Options Oncol       Date:  2017-05

9.  Inactivation of Cancer Mutations Utilizing CRISPR/Cas9.

Authors:  Christina Gebler; Tim Lohoff; Maciej Paszkowski-Rogacz; Jovan Mircetic; Debojyoti Chakraborty; Aylin Camgoz; Martin V Hamann; Mirko Theis; Christian Thiede; Frank Buchholz
Journal:  J Natl Cancer Inst       Date:  2016-08-30       Impact factor: 13.506

10.  Clinical and Counseling Experiences of Early Adopters of Whole Exome Sequencing.

Authors:  Shubhangi Arora; Eden Haverfield; Gabriele Richard; Susanne B Haga; Rachel Mills
Journal:  J Genet Couns       Date:  2015-08-19       Impact factor: 2.537

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