Overcoming Eurocentric bias makes for better science

Rana Dajani; Hamdi Mbarek; Said I. Ismail; Abdullah Mohammad; Melek Somai

doi:10.1016/j.medj.2022.11.007

Overcoming Eurocentric bias makes for better science

Rana Dajani^*
, Hamdi Mbarek
, Said I. Ismail
, Abdullah Mohammad
, Melek Somai

^*Corresponding author for this work

Hamad Bin Khalifa University

Hashemite University
Qatar Foundation HQ
Qatar University
University of Jordan
Taghyeer Organization
Medical College of Wisconsin

Research output: Contribution to journal › Letter › peer-review

Abstract

To understand disease, scientists are producing comprehensive omics datasets. However, the majority of these are Eurocentric. Recently, the inclusion of patients from Asia and the Middle East in genomic analyses uncovered unique loci linked to COVID-19 severity. This demonstrates that focusing on diversity and underrepresented populations can benefit all.

Original language	English
Pages (from-to)	813-814
Number of pages	2
Journal	Med
Volume	3
Issue number	12
Early online date	Dec 2022
DOIs	https://doi.org/10.1016/j.medj.2022.11.007
Publication status	Published - 9 Dec 2022

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10.1016/j.medj.2022.11.007

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title = "Overcoming Eurocentric bias makes for better science",

abstract = "To understand disease, scientists are producing comprehensive omics datasets. However, the majority of these are Eurocentric. Recently, the inclusion of patients from Asia and the Middle East in genomic analyses uncovered unique loci linked to COVID-19 severity. This demonstrates that focusing on diversity and underrepresented populations can benefit all.",

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AU - Somai, Melek

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AB - To understand disease, scientists are producing comprehensive omics datasets. However, the majority of these are Eurocentric. Recently, the inclusion of patients from Asia and the Middle East in genomic analyses uncovered unique loci linked to COVID-19 severity. This demonstrates that focusing on diversity and underrepresented populations can benefit all.

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Overcoming Eurocentric bias makes for better science

Abstract

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