Trends in Genetics
Volume 25, Issue 11, November 2009, Pages 489-494
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Opinion
Next generation disparities in human genomics: concerns and remedies

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Studies of human genetics, particularly genome-wide association studies (GWAS), have concentrated heavily on European populations, with individuals of African ancestry rarely represented. Reasons for this include the distribution of biomedical funding and the increased population structure and reduced linkage disequilibrium in African populations. Currently, few GWAS findings have clinical utility and, therefore, the field has not yet contributed to health-care disparities. As human genomics research progresses towards the whole-genome sequencing era, however, more clinically relevant results are likely to be discovered. As we discuss here, to avoid the genetics community contributing to healthcare disparities, it is important to adopt measures to ensure that populations of diverse ancestry are included in genomic studies, and that no major population groups are excluded.

Section snippets

The genomics of inequality

With surprisingly little careful evaluation of the potential contributions to health-care disparities 1, 2, the study of human genetic disease has developed an almost exclusive focus on individuals of European ancestry [3]. This bias is illustrated most starkly by genome-wide association studies (GWAS), which have been performed at a ratio of ∼10:1 European ancestry versus all other groups combined (http://www.genome.gov/gwastudies). Additionally, studies of other populations have generally

The generalization of genomics

Modern genomics discovery efforts have therefore been uneven in their sampling of human genomic variation. Whether any clinically actionable genetic discoveries would contribute to health-care disparities depends on both the generality of genetic effects and the generality of the variants themselves. Unfortunately, because many genetic associations have not yet been traced to the causal variant [14], there are only a few cases from which to judge the generality of genetic effects, but some

Discovery genetics using whole-genome sequencing

The most significant difference in strategy between a GWAS and a whole-genome sequencing study is that association shifts from an indirect to a direct framework. That is, GWAS rely on LD between the genotyped and the causal variant to detect the association, whereas in whole-genome sequencing, the causal variants (even if not yet identified) are, by definition, genotyped directly. Thus, the differing patterns of LD are no longer a constraint on discovery. Nevertheless, without corrections,

Identifying unusual variants

One of the discovery strategies for rare variants in complex disease has been to target types of variant that are exceptional because of their infrequency in controls, most notably large heterozygous deletions. As just one example of this approach, Need et al. showed that deletions >2Mb were absent in a cohort of >2500 controls, but present in 0.8% of patients with schizophrenia, suggesting that large deletions are pathogenic [23]. Similarly, Istara et al. found that, in a collection of 2500

Concluding remarks

The shift towards whole-genome sequencing does not remove concerns about uneven discoveries among racial or ethnic groups, but rather emphasizes the importance of those concerns. On balance, we view the GWAS era as having flirted with disaster: had GWAS discoveries led to a series of clinically actionable findings, it is likely that these would have been more applicable to Europeans than to other groups because of the uneven representation of Europeans in these studies. We are among those who

Acknowledgments

We thank Hunt Willard, Charmaine Royal, Misha Angrist and Bob Cook-Deegan for commenting on the manuscript. We also thank the anonymous reviewers for their helpful suggestions, which substantially improved the article.

References (44)

  • A. Itsara

    Population analysis of large copy number variants and hotspots of human genetic disease

    Am. J. Hum. Genet.

    (2009)
  • A. Nyika

    Ethical and practical challenges surrounding genetic and genomic research in developing countries

    Acta Trop.

    (2009)
  • S.K. Tate et al.

    Will tomorrow's medicines work for everyone?

    Nat. Genet.

    (2004)
  • E. Ramos et al.

    The A's, G's, C's, and T's of health disparities

    BMC Med. Genomics

    (2009)
  • F.S. Collins et al.

    Merging and emerging cohorts: necessary but not sufficient

    Nature

    (2007)
  • J. Gulcher

    Genetic homogeneity of Icelanders

    Nat. Genet.

    (2000)
  • E. Liu

    Genomics takes hold in Asia. Interview by David Cyranoski

    Nature

    (2008)
  • R. Triendl

    Genomics forges ahead in East Asia

    Nat. Biotechnol.

    (2000)
  • A.L. Price

    Principal components analysis corrects for stratification in genome-wide association studies

    Nat. Genet.

    (2006)
  • D.F. Conrad

    A worldwide survey of haplotype variation and linkage disequilibrium in the human genome

    Nat. Genet.

    (2006)
  • (2005) A haplotype map of the human genome. Nature 437,...
  • J.C. Barrett et al.

    Evaluating coverage of genome-wide association studies

    Nat. Genet.

    (2006)
  • W. Huang

    Linkage disequilibrium sharing and haplotype-tagged SNP portability between populations

    Proc. Natl. Acad. Sci. U. S. A.

    (2006)
  • K.A. Frazer

    A second generation human haplotype map of over 3.1 million SNPs

    Nature

    (2007)
  • Jallow, M. et al. Genome-wide and fine-resolution association analysis of malaria in West Africa. Nat. Genet. 2009 May...
  • M.I. McCarthy et al.

    Genome-wide association studies: potential next steps on a genetic journey

    Hum. Mol. Genet.

    (2008)
  • D.B. Goldstein et al.

    In genetic control of disease, does ‘race’ matter?

    Nat. Genet.

    (2004)
  • J.G. McHutchison

    Peginterferon alfa-2b or alfa-2a with ribavirin for treatment of hepatitis C infection

    N. Engl. J. Med.

    (2009)
  • D. Ge

    Genetic variation in IL28B predicts hepatitis C treatment-induced viral clearance

    Nature

    (2009)
  • D.L. Thomas

    Genetic variation in IL28B and spontaneous clearance of hepatitis C virus

    Nature

    (2009)
  • W.H. Chung

    Medical genetics: a marker for Stevens–Johnson syndrome

    Nature

    (2004)
  • A. Alfirevic

    HLA-B locus in Caucasian patients with carbamazepine hypersensitivity

    Pharmacogenomics

    (2006)
  • Cited by (0)

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