Spatiotemporal patterns of African infant hydrocephalus are predicted by prenatal environment and ancestral genomics

Read full text
Authors: Lucinda Newbury, Ronald Mulondo, Misaki Sasanami, Mercedeh Movassagh, Brian Nsubuga Kaaya, Davis Natukwatsa, Joshua Magombe, Esther Nalule, Moses Wabukoma, Paddy Ssentongo, Joseph Nathaniel Paulson, Edith Mbabazi-Kabachelor
+10 more Benjamin Curtis Warf, Peter Ssenyonga, Justin Onen, Jessica E. Ericson, Julius P. Kiwanuka, Sarah U. Morton, Peter John Diggle, Andrew J. Whalen, Claudio Fronterrè, Steven J. Schiff
Cited by: 0
References: 31

Abstract

Abstract Infant hydrocephalus is the leading indication for neurosurgery in early childhood in sub-Saharan Africa. The causes and consequences of hydrocephalus generate a high rate of morbidity and mortality. Postinfectious hydrocephalus and neural tube defects together comprise the majority of infant hydro-cephalus in such settings, and both conditions are in principle preventable. In this analysis of data including more than 5000 individuals treated for infant hydrocephalus over 19 years in Uganda, we find strong evidence that prenatal environmental exposures predict the risk of hydrocephalus. The risk of postinfectious hydrocephalus was positively correlated with poverty and local rainfall (with maximal rainfall effect 14 days prior to birth), and negatively correlated with geographical ancestral admixture and elevation. The risk of neural tube defects was positively correlated with geographical ancestral admixture and negatively correlated with vegetation index (with maximal vegetation effect 8 months prior to birth). These findings associating potential prenatal gene-environment interactions with infant hydrocephalus lay the foundation for more targeted and optimized public health policies to reduce the rates of these devastating conditions.

Fields of Study & Subjects

Spinal Dysraphism and Malformations Cerebrospinal fluid and hydrocephalus Fetal and Pediatric Neurological Disorders

Publication details

Journal / source
medRxiv
Publication date
11 March 2026
Language
EN
Document type
Preprint