Literature DB >> 18025926

Race, genetics and medicine: does the color of a leopard's spots matter?

Michael Bamshad1, Stephen L Guthery.   

Abstract

PURPOSE OF REVIEW: Accurate inference of genetic ancestry is critical because common diseases and drug responses can be influenced by genetic factors that vary in frequency or differ altogether among populations. Frequently, clinicians and researchers use popular notions of race to make inferences about a child's genetic ancestry and predict whether he or she carries specific risk factors that influence health. The extent to which race is useful for making such predictions depends on how well race corresponds with genetic inferences of ancestry and whether ancestry is predictive of genotypes associated with risk. RECENT
FINDINGS: Recent studies of human population genetic variation show that while race captures some information about genetic ancestry, particularly in US populations, it often fails to account for admixture and population structure. Ancestry is more accurately inferred by geographical origin or, better yet, explicit genetic data. This is an important result because the genetic variants predicted to underlie common disease are often not common across populations with different ancestry or differ significantly in frequency among such populations.
SUMMARY: Geographical origin and explicit genetic data are more accurate predictors of ancestry than race. Using such alternatives is an important step toward identifying genetic risk variants for common pediatric diseases and personalizing disease prevention and intervention strategies.

Entities:  

Mesh:

Year:  2007        PMID: 18025926     DOI: 10.1097/MOP.0b013e3282f163ca

Source DB:  PubMed          Journal:  Curr Opin Pediatr        ISSN: 1040-8703            Impact factor:   2.856


  8 in total

Review 1.  Disparities in vascular surgery: is it biology or environment?

Authors:  Louis L Nguyen; Antonia J Henry
Journal:  J Vasc Surg       Date:  2010-04       Impact factor: 4.268

Review 2.  An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines.

Authors:  Julie Dutil; Zhihua Chen; Alvaro N Monteiro; Jamie K Teer; Steven A Eschrich
Journal:  Cancer Res       Date:  2019-03-20       Impact factor: 12.701

Review 3.  Looking for race in all the wrong places: analyzing the lack of productivity in the ongoing debate about race and genetics.

Authors:  Morris W Foster
Journal:  Hum Genet       Date:  2009-04-25       Impact factor: 4.132

4.  Differences in allergic sensitization by self-reported race and genetic ancestry.

Authors:  James J Yang; Esteban G Burchard; Shweta Choudhry; Christine C Johnson; Dennis R Ownby; David Favro; Justin Chen; Matthew Akana; Connie Ha; Pui-Yan Kwok; Richard Krajenta; Suzanne L Havstad; Christine L Joseph; Max A Seibold; Mark D Shriver; L Keoki Williams
Journal:  J Allergy Clin Immunol       Date:  2008-10       Impact factor: 10.793

5.  Evaluating self-declared ancestry of U.S. Americans with autosomal, Y-chromosomal and mitochondrial DNA.

Authors:  Oscar Lao; Peter M Vallone; Michael D Coble; Toni M Diegoli; Mannis van Oven; Kristiaan J van der Gaag; Jeroen Pijpe; Peter de Knijff; Manfred Kayser
Journal:  Hum Mutat       Date:  2010-12       Impact factor: 4.878

6.  The genetic ancestry of African Americans, Latinos, and European Americans across the United States.

Authors:  Katarzyna Bryc; Eric Y Durand; J Michael Macpherson; David Reich; Joanna L Mountain
Journal:  Am J Hum Genet       Date:  2014-12-18       Impact factor: 11.025

7.  Ethical issues in microbiome research and medicine.

Authors:  Rosamond Rhodes
Journal:  BMC Med       Date:  2016-10-12       Impact factor: 8.775

8.  Assessment of the relationship between self-declared ethnicity, mitochondrial haplogroups and genomic ancestry in Brazilian individuals.

Authors:  Mari M S G Cardena; Andrea Ribeiro-Dos-Santos; Sidney Santos; Alfredo J Mansur; Alexandre C Pereira; Cintia Fridman
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

  8 in total

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