Literature DB >> 24488620

Personalized genomic results: analysis of informational needs.

Tara J Schmidlen1, Lisa Wawak, Rachel Kasper, J Felipe García-España, Michael F Christman, Erynn S Gordon.   

Abstract

Use of genomic information in healthcare is increasing; however data on the needs of consumers of genomic information is limited. The Coriell Personalized Medicine Collaborative (CPMC) is a longitudinal study investigating the utility of personalized medicine. Participants receive results reflecting risk of common complex conditions and drug-gene pairs deemed actionable by an external review board. To explore the needs of individuals receiving genomic information we reviewed all genetic counseling sessions with CPMC participants. A retrospective qualitative review of notes from 157 genetic counseling inquiries was conducted. Notes were coded for salient themes. Five primary themes; "understanding risk", "basic genetics", "complex disease genetics", "what do I do now?" and "other" were identified. Further review revealed that participants had difficulty with basic genetic concepts, confused relative and absolute risks, and attributed too high a risk burden to individual single nucleotide polymorphisms (SNPs). Despite these hurdles, counseled participants recognized that behavior changes could potentially mitigate risk and there were few comments alluding to an overly deterministic or fatalistic interpretation of results. Participants appeared to recognize the multifactorial nature of the diseases for which results were provided; however education to understand the complexities of genomic risk information was often needed.

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Year:  2014        PMID: 24488620     DOI: 10.1007/s10897-014-9693-8

Source DB:  PubMed          Journal:  J Genet Couns        ISSN: 1059-7700            Impact factor:   2.537


  37 in total

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  17 in total

1.  Counselees' Perspectives of Genomic Counseling Following Online Receipt of Multiple Actionable Complex Disease and Pharmacogenomic Results: a Qualitative Research Study.

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3.  Outcomes of a Randomized Controlled Trial of Genomic Counseling for Patients Receiving Personalized and Actionable Complex Disease Reports.

Authors:  Kevin Sweet; Amy C Sturm; Tara Schmidlen; Joseph McElroy; Laura Scheinfeldt; Kandamurugu Manickam; Erynn S Gordon; Shelly Hovick; J Scott Roberts; Amanda Ewart Toland; Michael Christman
Journal:  J Genet Couns       Date:  2017-03-27       Impact factor: 2.537

4.  Consumer familiarity, perspectives and expected value of personalized medicine with a focus on applications in oncology.

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5.  Operationalizing the Reciprocal Engagement Model of Genetic Counseling Practice: a Framework for the Scalable Delivery of Genomic Counseling and Testing.

Authors:  Tara Schmidlen; Amy C Sturm; Shelly Hovick; Laura Scheinfeldt; J Scott Roberts; Lindsey Morr; Joseph McElroy; Amanda E Toland; Michael Christman; Julianne M O'Daniel; Erynn S Gordon; Barbara A Bernhardt; Kelly E Ormond; Kevin Sweet
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6.  How can psychological science inform research about genetic counseling for clinical genomic sequencing?

Authors:  Cynthia M Khan; Christine Rini; Barbara A Bernhardt; J Scott Roberts; Kurt D Christensen; James P Evans; Kyle B Brothers; Myra I Roche; Jonathan S Berg; Gail E Henderson
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7.  Acceptability of, and Information Needs Regarding, Next-Generation Sequencing in People Tested for Hereditary Cancer: A Qualitative Study.

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8.  Parents' Experience with Pediatric Microarray: Transferrable Lessons in the Era of Genomic Counseling.

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9.  Genetic Knowledge Among Participants in the Coriell Personalized Medicine Collaborative.

Authors:  Tara J Schmidlen; Laura Scheinfeldt; Ruixue Zhaoyang; Rachel Kasper; Kevin Sweet; Erynn S Gordon; Margaret Keller; Cathy Stack; Neda Gharani; Mary B Daly; Joseph Jarvis; Michael F Christman
Journal:  J Genet Couns       Date:  2015-08-27       Impact factor: 2.537

10.  Information Topics of Greatest Interest for Return of Genome Sequencing Results among Women Diagnosed with Breast Cancer at a Young Age.

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Journal:  J Genet Couns       Date:  2016-08-20       Impact factor: 2.537

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