Evidence map›Paper›PMID 41929297›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Genome admixture analysis of 1,030 Ugandan infants with neonatal sepsis and hydrocephalus demonstrates geographical stratification of population disease risk.

Mercedeh Movassagh, Lucinda Newbury, Christine Hehnly, Andrew J Whalen, Mallory Peterson, Enrique Mondragon-Estrada, Jessica E Ericson, Jasmine Smith, Misaki Sasanami, Davis Natukwatsa and 16 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Mercedeh MovassaghDepartment of Neurosurgery, Yale University School of Medicine, New Haven, CT.
Lucinda NewburyUniversity of Birmingham, Birmingham, UK.
Christine HehnlyBoston Children's Hospital and Harvard Medical School, Department of Pathology, Boston, MA.
Andrew J WhalenDepartment of Neurosurgery, Yale University School of Medicine, New Haven, CT.
Mallory PetersonPenn State College of Medicine, Department of Neurosurgery, Hershey, PA.
Enrique Mondragon-EstradaBoston Children's Hospital, Division of Newborn Medicine, Department of Pediatrics, Boston, MA.
Jessica E EricsonPenn State College of Medicine, Department of Pediatrics, Hershey, PA.
Jasmine SmithPenn State College of Medicine, Department of Biochemistry and Molecular Biology and Institute for Personalized Medicine, Hershey, PA.
Misaki SasanamiUniversity of Birmingham, Birmingham, UK.
Davis NatukwatsaCure Hospital, Mbale, Uganda.
John MugambaCure Hospital, Mbale, Uganda.
Peter SsenyongaMulago National Referral Hospital, Mulago, Uganda.
Justin OnenMulago National Referral Hospital, Mulago, Uganda.
Kathy BurgoineMbale Regional Referral Hospital, Mbale, Uganda.
Lijun ZhangCase Western Reserve University, Department of Population and Quantitative Health Sciences, School of Medicine, Cleveland, Ohio, USA.
Peter Olupot-OlupotMbarara University of Science & Technology (MUST), Mbarara, Uganda and.
Elias KumbakumbaMbarara University of Science & Technology (MUST), Mbarara, Uganda and.
Emmanuel WegoyeCure Hospital, Mbale, Uganda.
Moses OchoraMbarara University of Science & Technology (MUST), Mbarara, Uganda and.
Ronald MulondoCure Hospital, Mbale, Uganda.
Edith Mbabazi-KabacheloriCure Hospital, Mbale, Uganda.
Claudio FronterreUniversity of Birmingham, Birmingham, UK.
James BroachPenn State College of Medicine, Department of Biochemistry and Molecular Biology and Institute for Personalized Medicine, Hershey, PA.
Joseph N PaulsonDepartment of Data Science, N-Power Medicine, Inc., Redwood City, CA, USA.
Sarah U MortonBoston Children's Hospital, Division of Newborn Medicine, Department of Pediatrics, Boston, MA.
Steven J SchiffDepartment of Neurosurgery, Yale University School of Medicine, New Haven, CT.

Funding

Predictive Personalized Public Health (P3H): A Novel Paradigm to Treat Infectious DiseaseR01AI145057 · NIAID · YALE UNIVERSITY · PI SCHIFF, STEVEN J · 2018 to 2022
$8.1M
Control of the Neonatal Septisome and Hydrocephalus in sub-Saharan AfricaDP1HD086071 · NICHD · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SCHIFF, STEVEN J · 2015 to 2019
$4.1M
NIAID NIH HHS R01 AI145057NICHD NIH HHS DP1 HD086071
6 · The paper itself

Abstract

Background: Neonatal disorders such as post-infectious hydrocephalus exhibit a higher incidence in Africa, where the intricate relationships between genetic ancestry, environmental exposures, and other risk factors likely contribute to the increased incidence. Methods: To start to characterize the common genetic architecture of Ugandan infants, we analyzed genome sequencing data from 1,030 Ugandan infants recruited from studies targeting neonatal sepsis and hydrocephalus. We employed genetic admixture analysis and integrated geospatial data to examine the relationships between genetic backgrounds and disease prevalence within this cohort. Results: Our results identified four distinct genetic admixture groups, each correlating strongly with specific geographic distributions across Uganda. Notably, a predominance of one admixture group, most common in northern Uganda, was overrepresented in the participants with post-infectious hydrocephalus. Conclusion: This study underscores the importance of genetic factors in disease manifestation at the population level, and a role for such precision public health approaches in complex neonatal disorders in African populations.

Indexed as

Genetic AdmixtureGenome SequencingHydrocephalusNeonatal SepsisPopulation geneticsUganda

Identifiers

PMID41929297
PMCPMC13042085

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.