Mobile diagnosis of congenital genetic conditions: a model for screening and surveillance in low-resource settings

Active Project Grant Awarded Last action

Award ID
R33HD102988
Recipient
Awarding agency
Obligated
$1,972,915

Award facts

Assistance listing
93.310 Trans-NIH Research Support
Completion date 91% complete
Funding agency
Office of the Director National Institutes of Health, Department of Health and Human Services
Place of performance
Irvine, CA 92697, USA

Award details come from USAspending.gov.

Description

Abstract
Congenital anomalies represent an increasing burden of disease worldwide, accounting for millions of birth defect-related disabilities with a disproportionate impact on low to middle income countries (limcs). Many harbor genetic etiologies, for which no confirmatory diagnosis can be made due to the dearth of diagnostic technologies in most lmics. The inability to rapidly and accurately diagnose individuals that harbor a genetic syndrome increases the risk of mortality and morbidity (as a number of manageable congenital anomalies may be hidden, such as congenital heart defects or hearing infections) and prevents the accurate determination of prevalence rates, critical for public health surveillance and intervention programs. The first part (R21) of this project addresses these gaps using two synergistic mobile health intervention tools to screen for syndromic conditions and specifically demonstrate that a specific diagnostic of down syndrome (expandable to all aneuploidies and those diseases resulting from copy number variants, point mutations and insertions/deletions) can be performed with minimal resources, in the democratic republic of the congo (DRC). Aim 1 will be to train and validate AI-guided smartphone-based technology to screen for syndromic conditions, while aim 2 will create low-cost, rapid initial genetic diagnostic capacity in the DRC. In the expansion part of the proposal (R33), we will test whether the implementation of a registry measuring health outcomes can be used as a scalable model for future newborn screening and health surveillance in a low-resource setting. To this effect, aim 3 will build infrastructure for birth defects detection, genetic confirmation, competence building, and practice and outcomes surveillance in low-resource conditions with two parallel sub-aims: aim 3A will assess the feasibility of the diagnostic capacity on a large population sample and provide a tool to measure specific health outcomes, while aim 3B will establish a small-scale and functional database/registry of morphological, genetic, and health outcomes data. In limited resources settings, comprehensive systems to detect, refer, treat and surveil individuals with congenital anomalies are non-existent. Our innovative technologies will address this GAP, build local capacity of diagnostic screening and of a data registry, allowing for early diagnosis and condition-specific care, likely to lower morbidity and mortality of children with non-communicable syndromic conditions.

Transactions

Action Obligated Date
Amendment $7,887
Amendment $22,173
Amendment $70,982
Amendment $70,982
Amendment $199,557
Amendment $199,557
Amendment $199,557
Amendment $300,417
Amendment $0
Amendment $0
Amendment $300,601
Amendment $300,601
Original award $300,601
Show all 13

Subawards

Subrecipient Amount Awarded
Institut National De Recherche Biomedicale Assess the applications of mobile technologies in low income settings. $7,887
Institut National De Recherche Biomedicale $70,982
Children's Research Institute Project Title: Mobile Diagnosis of Congenital Genetic Conditions: A Model for Screening and Surveillance in Low-Resource Settings Primary Site Pl: Eric Vilain… $109,117
Children's Research Institute Image data curation and storage - Image and predictive analytics - Reporting and integration with genetic analysis $118,249
Institut National De Recherche Biomedicale Project Title: Mobile Diagnosis of Congenital Genetic Conditions: A Model for Screening and Surveillance in Low-Resource Settings Primary Site Pl: Eric Vilain… $80,385
Institut National De Recherche Biomedicale $81,558
Children's Research Institute Project Title: Mobile Diagnosis of Congenital Genetic Conditions: A Model for Screening and Surveillance in Low-Resource Settings Primary Site Pl: Eric Vilain… $118,089

Quick answers

Who received award R33HD102988?

R33HD102988 was awarded to University Of California Irvine by National Institute of Child Health and Human Development (National Institutes of Health) on February 1, 2024.

How much is award R33HD102988 worth?

$1,972,915 has been obligated on R33HD102988.

Which agency awarded R33HD102988?

National Institute of Child Health and Human Development (National Institutes of Health) awarded R33HD102988, with funding from Office of the Director (National Institutes of Health).

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