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Integrated modeLs for Early Risk-prediction in Africa (ILERA) study

Award Number: U01HL172182
ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/20/2023
PERIOD OF PERFORMANCE END DATE: 07/31/2027

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Integrated modeLs for Early Risk-prediction in Africa (ILERA) study - Project Summary Cardiometabolic diseases (CMDs) claim millions of lives in Africa every year and a sizable portion of these deaths are premature. Despite the availability of simple and affordable approaches such as lifestyle adjustment and the use of drugs (e.g. lipid lowering statins) that could increase lifespan and improve the quality of life, this is becoming a more serious health burden in Africa with time. The ability to prioritize healthcare to the populations that are at highest risk could be especially relevant in resource constrained environments. One of the major challenges to accurately stratifying a population by risk is the low predictivity of current polygenic risk scoring models (PRSs) in African populations. The Integrated modeLs for Early Risk-prediction in Africa (ILERA) study (Ilera in Yourba means health) aims to investigate the potential for improving the prediction of 13 cardiometabolic disease indicator levels (and thereby of CMDs) by integrating diverse types of data (genomic, transcriptomic, lifestyle-related data) into risk prediction models. Starting with currently best performing PRSs, we plan to progressively add layers of data such as predicted transcriptomes, environment and lifestyle information to assess whether this additional data, either independently or in combination with others, could improve prediction. To allow for complex and non-linear interactions between these factors, data-driven approaches will be employed to integrate these variables with the genomic data. In-depth evaluation of the predictivity of these models will be performed in independent cohorts from South, East and West Africa and also in longitudinal data from the same cohort. The potential for an early warning system aimed at public health intervention will be investigated using a combination of the best predictive models and traits. The project will be led from the University of the Witwatersrand (Wits), collaborating with the Wits Donald Gordon Medical Center, the African Institute of Biomedical Science and Technology (ABiST) Zimbabwe and an US based industry partner, Variant Bio. The predicted transcriptome will be based on 750 South African participants with whole genome sequence and blood transcriptome RNA-Seq. The primary target dataset of ~5000 participants was generated through the H3Africa AWI-Gen study and the models will be tested in two Southern African datasets (~1200 participants from South Africa and Zimbabwe) as well as ~6000 participants from Ghana, Burkina Faso and Kenya. Longitudinal data, captured 5 years after baseline data collection, will be used to understand the impact of age on the predictive models. The study will build on years of existing successful collaboration and will tap into the Wits experience in genomics research, Variant Bio’s expertise in multi-omics research and leverage partnership with other projects in the DSI-Africa consortium for data science capacity.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2025	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	000	3	5/25/2026	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2025 ( Subtotal = $250,000 )
2025	2025	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	000	3	9/15/2025	NON-COMPETING CONTINUATION	$207,000
2025	2025	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	001	3	9/23/2025	SUPPLEMENT FOR EXPANSION	$43,000
														Subtotal = $250,000

Issue Date FY: 2024 ( Subtotal = $250,000 )
2024	2024	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	002	2	9/18/2024	NON-COMPETING CONTINUATION	$250,000
2024	2023	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	000	1	6/12/2024	NEW	$0
2024	2023	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	001	1	9/18/2024	NEW	$0
														Subtotal = $250,000

Issue Date FY: 2023 ( Subtotal = $250,000 )
2023	2023	WITS HEALTH CONSORTIUM (PTY) LTD	31 PRINCESS OF WALES TERRACE PARKTOWN	JOHANNESBURG				ZAF	Translation and Implementation Science Research for Heart, Lung, Blood Diseases, and Sleep Disorders	000	1	9/20/2023	NEW	$250,000
														Subtotal = $250,000

Grand Total All Awards = $750,000

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Integrated modeLs for Early Risk-prediction in Africa (ILERA) study

Award Number: U01HL172182

ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/20/2023

PERIOD OF PERFORMANCE END DATE: 07/31/2027

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