Literature DB >> 16330792

The practitioner's dilemma: can we use a patient's race to predict genetics, ancestry, and the expected outcomes of treatment?

Donald A Barr1.   

Abstract

Recent research has identified genetic traits that can be used in a laboratory setting to distinguish among global population groups. In some genetic analyses, the population groups identified resemble groups that are historically categorized as "races." On the basis of these associations, some researchers have argued that a patient's race can be used to predict underlying genetic traits and from these traits, the expected outcomes of treatment. Others have questioned the use of race in this way, arguing that racially defined groups are so heterogeneous that predictions of individual characteristics derived from group averages are bound to be problematic. Practitioners today face the dilemma of translating this scientific debate into clinical decisions made 1 patient at a time. Is it or is it not appropriate to use a patient's self-identified "race" to help decide treatment? In contrast to the global population groups identified by genetic studies, the U.S. population has experienced substantial genetic admixture over time, weakening our ability to distinguish groups on the basis of meaningful genetic differences. Nonetheless, many researchers have suggested that these differences are still sufficient to identify racially specific uses for pharmaceutical and other treatments. A review of recent research on the treatment of hypertension and congestive heart failure finds that race-specific treatments of this type carry a substantial risk for treating patients--black or white--inappropriately, either by withholding a treatment that may be effective or by using a treatment that may be ineffective. Only by moving beyond historical concepts of "race" to examining a patient's individual socioeconomic, cultural, behavioral, and ancestral circumstances can a practitioner select the treatment that is most likely to be effective and in doing so, can best serve that patient's needs.

Entities:  

Keywords:  Biomedical and Behavioral Research; Genetics and Reproduction; Health Care and Public Health

Mesh:

Year:  2005        PMID: 16330792     DOI: 10.7326/0003-4819-143-11-200512060-00009

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  7 in total

1.  Primary care physicians' attitudes regarding race-based therapies.

Authors:  Danielle Frank; Thomas H Gallagher; Sherrill L Sellers; Lisa A Cooper; Eboni G Price; Adebola O Odunlami; Vence L Bonham
Journal:  J Gen Intern Med       Date:  2010-05       Impact factor: 5.128

2.  Physicians' anxiety due to uncertainty and use of race in medical decision making.

Authors:  Brooke A Cunningham; Vence L Bonham; Sherrill L Sellers; Hsin-Chieh Yeh; Lisa A Cooper
Journal:  Med Care       Date:  2014-08       Impact factor: 2.983

3.  Race, Genotype, and Azathioprine Discontinuation : A Cohort Study.

Authors:  Alyson L Dickson; Laura L Daniel; Elise Jackson; Jacy Zanussi; Wenjian Yang; W Dale Plummer; William D Dupont; Wei-Qi Wei; Puran Nepal; Adriana M Hung; Nancy J Cox; Sara L Van Driest; QiPing Feng; Jun J Yang; C Michael Stein; Jonathan D Mosley; Cecilia P Chung
Journal:  Ann Intern Med       Date:  2022-06-21       Impact factor: 51.598

4.  Patient physical characteristics and primary care physician decision making in preconception genetic screening.

Authors:  V L Bonham; S Knerr; W G Feero; N Stevens; J F Jenkins; C M McBride
Journal:  Public Health Genomics       Date:  2009-11-26       Impact factor: 2.000

5.  Race does not explain genetic heterogeneity in pharmacogenomic pathways.

Authors:  Jane L Yen-Revollo; J Todd Auman; Howard L McLeod
Journal:  Pharmacogenomics       Date:  2008-11       Impact factor: 2.533

6.  Physicians' attitudes toward race, genetics, and clinical medicine.

Authors:  Vence L Bonham; Sherrill L Sellers; Thomas H Gallagher; Danielle Frank; Adebola O Odunlami; Eboni G Price; Lisa A Cooper
Journal:  Genet Med       Date:  2009-04       Impact factor: 8.822

7.  Physicians' knowledge, beliefs, and use of race and human genetic variation: new measures and insights.

Authors:  Vence L Bonham; Sherrill L Sellers; Sam Woolford
Journal:  BMC Health Serv Res       Date:  2014-10-02       Impact factor: 2.655

  7 in total

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