Literature DB >> 24297550

PATH-SCAN: a reporting tool for identifying clinically actionable variants.

Roxana Daneshjou1, Zachary Zappala, Kim Kukurba, Sean M Boyle, Kelly E Ormond, Teri E Klein, Michael Snyder, Carlos D Bustamante, Russ B Altman, Stephen B Montgomery.   

Abstract

The American College of Medical Genetics and Genomics (ACMG) recently released guidelines regarding the reporting of incidental findings in sequencing data. Given the availability of Direct to Consumer (DTC) genetic testing and the falling cost of whole exome and genome sequencing, individuals will increasingly have the opportunity to analyze their own genomic data. We have developed a web-based tool, PATH-SCAN, which annotates individual genomes and exomes for ClinVar designated pathogenic variants found within the genes from the ACMG guidelines. Because mutations in these genes predispose individuals to conditions with actionable outcomes, our tool will allow individuals or researchers to identify potential risk variants in order to consult physicians or genetic counselors for further evaluation. Moreover, our tool allows individuals to anonymously submit their pathogenic burden, so that we can crowd source the collection of quantitative information regarding the frequency of these variants. We tested our tool on 1092 publicly available genomes from the 1000 Genomes project, 163 genomes from the Personal Genome Project, and 15 genomes from a clinical genome sequencing research project. Excluding the most commonly seen variant in 1000 Genomes, about 20% of all genomes analyzed had a ClinVar designated pathogenic variant that required further evaluation.

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Year:  2014        PMID: 24297550      PMCID: PMC4008882     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  24 in total

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Review 2.  From genetic privacy to open consent.

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Authors:  Megan Allyse; Marsha Michie
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9.  An integrated map of genetic variation from 1,092 human genomes.

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Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

10.  Personal genome testing in medical education: student experiences with genotyping in the classroom.

Authors:  Simone Lucia Vernez; Keyan Salari; Kelly E Ormond; Sandra Soo-Jin Lee
Journal:  Genome Med       Date:  2013-03-19       Impact factor: 11.117

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  10 in total

Review 1.  Non-Coding Loss-of-Function Variation in Human Genomes.

Authors:  Zachary Zappala; Stephen B Montgomery
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2.  IMPACT: a whole-exome sequencing analysis pipeline for integrating molecular profiles with actionable therapeutics in clinical samples.

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3.  Modeling mutant/wild-type interactions to ascertain pathogenicity of PROKR2 missense variants in patients with isolated GnRH deficiency.

Authors:  Kimberly H Cox; Luciana M B Oliveira; Lacey Plummer; Braden Corbin; Thomas Gardella; Ravikumar Balasubramanian; William F Crowley
Journal:  Hum Mol Genet       Date:  2018-01-15       Impact factor: 6.150

4.  WHATIF: An open-source desktop application for extraction and management of the incidental findings from next-generation sequencing variant data.

Authors:  Zhan Ye; Christopher Kadolph; Robert Strenn; Daniel Wall; Elizabeth McPherson; Simon Lin
Journal:  Comput Biol Med       Date:  2015-04-08       Impact factor: 4.589

5.  Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China.

Authors:  Tianbo Jin; Xugang Shi; Li Wang; Huijuan Wang; Tian Feng; Longli Kang
Journal:  BMC Genet       Date:  2016-05-28       Impact factor: 2.797

6.  Informed consent for next-generation nucleotide sequencing studies: Aiding communication between participants and investigators.

Authors:  Rhonda G Kost; Stephen M Poppel; Barry S Coller
Journal:  J Clin Transl Sci       Date:  2017-02-07

Review 7.  Big Data Analytics for Genomic Medicine.

Authors:  Karen Y He; Dongliang Ge; Max M He
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8.  Biomarker Research in ADHD: the Impact of Nutrition (BRAIN) - study protocol of an open-label trial to investigate the mechanisms underlying the effects of a few-foods diet on ADHD symptoms in children.

Authors:  Tim Stobernack; Stefan P W de Vries; Rob Rodrigues Pereira; Lidy M Pelsser; Cajo J F Ter Braak; Esther Aarts; Peter van Baarlen; Michiel Kleerebezem; Klaas Frankena; Saartje Hontelez
Journal:  BMJ Open       Date:  2019-11-05       Impact factor: 2.692

9.  Identification of Medically Actionable Secondary Findings in the 1000 Genomes.

Authors:  Emily Olfson; Catherine E Cottrell; Nicholas O Davidson; Christina A Gurnett; Jonathan W Heusel; Nathan O Stitziel; Li-Shiun Chen; Sarah Hartz; Rakesh Nagarajan; Nancy L Saccone; Laura J Bierut
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

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Authors:  Tonia C Carter; Max M He
Journal:  J Healthc Eng       Date:  2016       Impact factor: 2.682

  10 in total

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