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Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Domaine:

healthcare

Type de record:

papersoftware
Créateur:
MonKumBusIoa
Éditeur:
arXiv
Hôte:avatar
With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients to specific cancers can be identified, while by using tumor genomics cancer types can be characterized for targeted treatment. However, a severe disparity is rapidly emerging in this new area of precision cancer diagnosis and treatment planning, one which separates a few genetically well-characterized populations (predominantly European) from all other global populations. Here we discuss the problem of population-specific genetic associations, which is driving this disparity, and present a novel solution--coordinate-based local ancestry--for helping to address it. We demonstrate our boosting-based method on whole genome data from divergent groups across Africa and in the process observe signals that may stem from the transcontinental Bantu-expansion.

Visit

doi.orgarxiv.org

Tags

Genomics (q-bio.GN)Populations and Evolution (q-bio.PE)FOS: Biological sciencesFOS: Biological sciences

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

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