Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting

Sam Hodgson; Qin Qin Huang; Neneh Sallah; Chris J Griffiths; William G Newman; Richard C Trembath; Thomas Lumbers; Karoline Kuchenbaecker; David A. van Heel; Rohini Mathur; Hilary Martin; Sarah Finer

doi:10.1101/2021.07.12.21259837

Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting

Sam Hodgson
, Qin Qin Huang
, Neneh Sallah
, Chris J Griffiths
, William G Newman
, Richard C Trembath
, Thomas Lumbers
, Karoline Kuchenbaecker
, David A. van Heel
, Rohini Mathur
, Hilary Martin
, Sarah Finer

Division of Evolution, Infection and Genomics

Research output: Contribution to journal › Article

Original language	Undefined
Journal	medRxiv
DOIs	https://doi.org/10.1101/2021.07.12.21259837
Publication status	Published - 16 Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1101/2021.07.12.21259837

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Hodgson, S., Huang, Q. Q., Sallah, N., Griffiths, C. J., Newman, W. G., Trembath, R. C., Lumbers, T., Kuchenbaecker, K., Heel, D. A. V., Mathur, R., Martin, H., & Finer, S. (2021). Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. medRxiv. https://doi.org/10.1101/2021.07.12.21259837

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Hodgson, S, Huang, QQ, Sallah, N, Griffiths, CJ, Newman, WG, Trembath, RC, Lumbers, T, Kuchenbaecker, K, Heel, DAV, Mathur, R, Martin, H & Finer, S 2021, 'Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting', medRxiv. https://doi.org/10.1101/2021.07.12.21259837

TY - JOUR

T1 - Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting

AU - Hodgson, Sam

AU - Huang, Qin Qin

AU - Sallah, Neneh

AU - Griffiths, Chris J

AU - Newman, William G

AU - Trembath, Richard C

AU - Lumbers, Thomas

AU - Kuchenbaecker, Karoline

AU - Heel, David A. van

AU - Mathur, Rohini

AU - Martin, Hilary

AU - Finer, Sarah

PY - 2021/7/16

Y1 - 2021/7/16

UR - https://doi.org/10.1101/2021.07.12.21259837

U2 - 10.1101/2021.07.12.21259837

DO - 10.1101/2021.07.12.21259837

M3 - Article

JO - medRxiv

JF - medRxiv

ER -

Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting

UN SDGs

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