Mateus Gouveia
Morehouse School of Medicine, GA·Genetics·Early-career
Where a person's ancestors came from leaves traces in their DNA, and those traces are tied to differences in disease susceptibility. Yet most genetic research lumps ancestry into a few broad continental buckets, as though African, European, or Native American ancestry each described a single uniform group.
- Fields
Genetics
Public Health & Epidemiology
Computer Science
- Topics
population genetics
genetic ancestry
subcontinental ancestry
- Grants
- 1 known grant, through Jun 2028
What they work on
- Map subcontinental ancestries across Africa, the Americas, and Europe by assembling genome-wide data on roughly 75,000 ancestrally diverse individuals and applying current population genomics methods.
- Reconstruct how subcontinental African, European, and Native American ancestries mixed over time to produce the genetic profiles of admixed populations now living in the Americas.
- Boost the power of admixture mapping, which locates disease loci by tracking the ancestral origin of chromosome segments, by replacing continental labels with subcontinental local ancestry inference.
- Make admixture mapping usable in populations not normally treated as admixed, while controlling confounding from population structure at both global and local ancestry levels.
More about the research
Each is actually a blend of finer, subcontinental ancestries. The cost of this shortcut is practical: people with mixed ancestry are frequently dropped from studies over fears of spurious results, while other groups are analyzed with models that fit them badly. Disease-linked variants go undetected, and the strength of their effects is misjudged.
Why it matters
Finer-grained ancestry maps could make studies of complex traits both more accurate and more inclusive. Continental Africans, African Americans, and Latinos are often excluded from or poorly modeled in genome-wide association studies. Sharper admixture mapping may recover risk loci these studies currently miss and reduce bias in estimated effect sizes, which matters for any condition whose risk varies with ancestry.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
William Bush
University of Miami, FL·Genetics
Identify genetic risk factors for Alzheimer disease that are distinct to African American, African, and Hispanic/Latino populations through multiple statistical analyses of genetic data generated in these cohorts.
David E Reich
Harvard University, MA·Genetics
Assemble an ancient DNA time series of 34,000 West Eurasians, enough to measure natural selection coefficients as small as about 0.25%, and release it as a public resource before publication.
Jacob L Mccauley
University of Miami, FL·Genetics
Expand enrollment of a deeply phenotyped IBD cohort across South Florida and the wider state, substantially increasing the Hispanic genetic sample collection in the US for Crohn's disease and ulcerative colitis.
The school
Morehouse School of Medicine: 3 labs on PI Pages, $69M a year on research, 7 research doctorates a year.
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