| Scott Hazelhurst, Palwendé Boua, Ananyo Choudhury, Siyanda Madala, Dhriti Sengupta, Furahini Tluway, Michèle Ramsay Computation of Socio-Economic Status in the AWI-Gen Project Journal Article In: medRxiv : the preprint server for health sciences, 2024. @article{Hazelhurst2024,
title = {Computation of Socio-Economic Status in the AWI-Gen Project},
author = {Scott Hazelhurst and Palwend\'{e} Boua and Ananyo Choudhury and Siyanda Madala and Dhriti Sengupta and Furahini Tluway and Mich\`{e}le Ramsay},
url = {https://pubmed.ncbi.nlm.nih.gov/39228720/ http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC11370514},
doi = {10.1101/2024.08.22.24312411},
year = {2024},
date = {2024-01-01},
journal = {medRxiv : the preprint server for health sciences},
publisher = {medRxiv},
abstract = {Socio-economic status of participants in many public health, epidemiological, and genome-wide association studies is an important trait of interest. It is often used in these studies as a measure of direct interest or as a covariate. The Africa Wits INDEPTH Partnership for Genomic and Environmental Research (AWI-Gen) explores genomic and environmental factors in non-communicable diseases, particularly cardio-metabolic disease. In Phase I of AWI-Gen, approximately 12,000 participants were recruited at six sites in four African countries. Participants were asked questions about asset ownership. This technical note describes how AWI-Gen computed socio-economic status from the asset register.},
keywords = {doi:10.1101/2024.08.22.24312411, MEDLINE, Mich\`{e}le Ramsay, National Center for Biotechnology Information, National Institutes of Health, National Library of Medicine, NCBI, NIH, NLM, Palwend\'{e} Boua, PMC11370514, pmid:39228720, Preprint, PubMed Abstract, Scott Hazelhurst},
pubstate = {published},
tppubtype = {article}
}
Socio-economic status of participants in many public health, epidemiological, and genome-wide association studies is an important trait of interest. It is often used in these studies as a measure of direct interest or as a covariate. The Africa Wits INDEPTH Partnership for Genomic and Environmental Research (AWI-Gen) explores genomic and environmental factors in non-communicable diseases, particularly cardio-metabolic disease. In Phase I of AWI-Gen, approximately 12,000 participants were recruited at six sites in four African countries. Participants were asked questions about asset ownership. This technical note describes how AWI-Gen computed socio-economic status from the asset register. |
