Literature DB >> 16682739

Disparities in genetic testing: thinking outside the BRCA box.

Michael J Hall1, Olufunmilayo I Olopade.   

Abstract

The impact of predictive genetic testing on cancer care can be measured by the increased demand for and utilization of genetic services as well as in the progress made in reducing cancer risks in known mutation carriers. Nonetheless, differential access to and utilization of genetic counseling and cancer predisposition testing among underserved racial and ethnic minorities compared with the white population has led to growing health care disparities in clinical cancer genetics that are only beginning to be addressed. Furthermore, deficiencies in the utility of genetic testing in underserved populations as a result of limited testing experience and in the effectiveness of risk-reducing interventions compound access and knowledge-base disparities. The recent literature on racial/ethnic health care disparities is briefly reviewed, and is followed by a discussion of the current limitations of risk assessment and genetic testing outside of white populations. The importance of expanded testing in underserved populations is emphasized.

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Mesh:

Year:  2006        PMID: 16682739     DOI: 10.1200/JCO.2006.05.5889

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  79 in total

1.  Development of a brochure for increasing awareness of inherited breast cancer in black women.

Authors:  Susan T Vadaparampil; Gwendolyn P Quinn; Anxhela Gjyshi; Tuya Pal
Journal:  Genet Test Mol Biomarkers       Date:  2011 Jan-Feb

2.  Evaluation findings from genetics and family health history community-based workshops for African Americans.

Authors:  Jo-Anne Manswell Butty; Finie Richardson; Charles P Mouton; Charmaine D M Royal; Rodney D Green; Kerry-Ann Munroe
Journal:  J Community Genet       Date:  2011-11-05

3.  Access to genetic testing and genetic counseling in vulnerable populations: the d/Deaf and hard of hearing population.

Authors:  Sandra Cooke-Hubley; Victor Maddalena
Journal:  J Community Genet       Date:  2011-05-01

4.  Delivery of Internet-based cancer genetic counselling services to patients' homes: a feasibility study.

Authors:  Neal J Meropol; Mary B Daly; Hetal S Vig; Frank J Manion; Sharon L Manne; Carla Mazar; Camara Murphy; Nicholas Solarino; Vadim Zubarev
Journal:  J Telemed Telecare       Date:  2010-11-19       Impact factor: 6.184

5.  Forming state collaborations to diversify the nation's health workforce: the experience of the sullivan alliance to transform the health professions.

Authors:  Ilana Suez Mittman; Louis W Sullivan
Journal:  J Genet Couns       Date:  2011-08-16       Impact factor: 2.537

Review 6.  Racial/Ethnic Disparities in BRCA Counseling and Testing: a Narrative Review.

Authors:  Christina D Williams; Alyssa Jasmine Bullard; Meghan O'Leary; Reana Thomas; Thomas S Redding; Karen Goldstein
Journal:  J Racial Ethn Health Disparities       Date:  2019-04-08

7.  Leveraging Implementation Science to Address Health Disparities in Genomic Medicine: Examples from the Field.

Authors:  Megan C Roberts; George A Mensah; Muin J Khoury
Journal:  Ethn Dis       Date:  2019-02-21       Impact factor: 1.847

8.  Racial disparities in BRCA testing and cancer risk management across a population-based sample of young breast cancer survivors.

Authors:  Deborah Cragun; Anne Weidner; Courtney Lewis; Devon Bonner; Jongphil Kim; Susan T Vadaparampil; Tuya Pal
Journal:  Cancer       Date:  2017-02-09       Impact factor: 6.860

9.  A high frequency of BRCA mutations in young black women with breast cancer residing in Florida.

Authors:  Tuya Pal; Devon Bonner; Deborah Cragun; Alvaro N A Monteiro; Catherine Phelan; Lily Servais; Jongphil Kim; Steven A Narod; Mohammad R Akbari; Susan T Vadaparampil
Journal:  Cancer       Date:  2015-08-19       Impact factor: 6.860

10.  Lifestyle Risk Factors Among People Who Have Had Cancer Genetic Testing.

Authors:  John M Quillin
Journal:  J Genet Couns       Date:  2015-12-12       Impact factor: 2.537

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