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Individualized polygenic risk score identifies NASH in the eastern Asia region: a derivation and validation study

Individualized polygenic risk score identifies NASH in the eastern Asia region: a derivation and validation study
Individualized polygenic risk score identifies NASH in the eastern Asia region: a derivation and validation study

INTRODUCTION: Strong evidence indicates that multiple genetic and environmental risk factors play a role in the pathogenesis of nonalcoholic steatohepatitis (NASH). We aimed to develop and validate a novel nomogram, incorporating both genetic and clinical factors, for predicting NASH. METHODS: A total of 1,070 Asian individuals with biopsy-confirmed nonalcoholic fatty liver disease (NAFLD) from 2 countries (China and South Korea) were recruited. The histological spectrum of NAFLD was classified according to the NASH clinical research network scoring system. The nomogram was developed in the Chinese training set (n = 402), and then, it was validated in both the Chinese internal validation set (n = 136) and the external Korean validation cohort (n = 532), respectively. RESULTS: Sex, metabolic syndrome, insulin resistance, serum aspartate aminotransferase levels, and PNPLA3 (rs738409) and HSD17B13 (rs72613567) genetic variants were strongly associated with NASH. Based on their regression coefficients, we developed a nomogram with good discriminatory ability (area under the receiver operating characteristic curve: 0.81, 95% confidence interval [CI] 0.77-0.85) and good calibration (Hosmer-Lemeshow test, P = 0.794) for identifying NASH. In the 2 validation cohorts, the nomogram showed high area under the receiver operating characteristic curves (internal validation set: 0.80, 95% CI 0.72-0.88; external validation cohort: 0.76, 95% CI 0.72-0.80) and good calibration. DISCUSSION: Our newly developed and externally validated nomogram, incorporating both genetic and clinical risk factors, may be conveniently used to predict NASH. Further validation studies in other ethnic groups are warranted to confirm its diagnostic utility to identify NASH, among patients with biopsy-proven NAFLD.

2155-384X
e00321
Gao, Feng
b70fc7ee-1c00-4b32-aa1a-272e603a3add
Zheng, Kenneth I.
ec5085fa-8f19-410e-a82d-a8b27f8615e9
Chen, Sui-Dan
d4c52ba8-3898-4aaf-991d-0edeae637fb9
Lee, Dong Hyeon
275d9a27-39f3-4fbe-9f5f-b4e6f2875c31
Wu, Xi-Xi
5612afeb-3a85-45fd-a2be-805e6ebc927d
Wang, Xiao-Dong
c56d982c-6c67-4b74-8f4b-46fdfa142607
Targher, Giovanni
043e0811-b389-4922-974e-22e650212c5f
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c
Chen, Yong-Ping
636f5459-5d19-4b95-a87f-d6f1849eefe1
Kim, Won
41fd87f3-5aca-45ea-81be-53d4f1025cbb
Zheng, Ming-Hua
e757dd37-3546-449f-b2c5-d608a44b3824
Gao, Feng
b70fc7ee-1c00-4b32-aa1a-272e603a3add
Zheng, Kenneth I.
ec5085fa-8f19-410e-a82d-a8b27f8615e9
Chen, Sui-Dan
d4c52ba8-3898-4aaf-991d-0edeae637fb9
Lee, Dong Hyeon
275d9a27-39f3-4fbe-9f5f-b4e6f2875c31
Wu, Xi-Xi
5612afeb-3a85-45fd-a2be-805e6ebc927d
Wang, Xiao-Dong
c56d982c-6c67-4b74-8f4b-46fdfa142607
Targher, Giovanni
043e0811-b389-4922-974e-22e650212c5f
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c
Chen, Yong-Ping
636f5459-5d19-4b95-a87f-d6f1849eefe1
Kim, Won
41fd87f3-5aca-45ea-81be-53d4f1025cbb
Zheng, Ming-Hua
e757dd37-3546-449f-b2c5-d608a44b3824

Gao, Feng, Zheng, Kenneth I., Chen, Sui-Dan, Lee, Dong Hyeon, Wu, Xi-Xi, Wang, Xiao-Dong, Targher, Giovanni, Byrne, Christopher, Chen, Yong-Ping, Kim, Won and Zheng, Ming-Hua (2021) Individualized polygenic risk score identifies NASH in the eastern Asia region: a derivation and validation study. Clinical and Translational Gastroenterology, 12 (3), e00321. (doi:10.14309/ctg.0000000000000321).

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Abstract

INTRODUCTION: Strong evidence indicates that multiple genetic and environmental risk factors play a role in the pathogenesis of nonalcoholic steatohepatitis (NASH). We aimed to develop and validate a novel nomogram, incorporating both genetic and clinical factors, for predicting NASH. METHODS: A total of 1,070 Asian individuals with biopsy-confirmed nonalcoholic fatty liver disease (NAFLD) from 2 countries (China and South Korea) were recruited. The histological spectrum of NAFLD was classified according to the NASH clinical research network scoring system. The nomogram was developed in the Chinese training set (n = 402), and then, it was validated in both the Chinese internal validation set (n = 136) and the external Korean validation cohort (n = 532), respectively. RESULTS: Sex, metabolic syndrome, insulin resistance, serum aspartate aminotransferase levels, and PNPLA3 (rs738409) and HSD17B13 (rs72613567) genetic variants were strongly associated with NASH. Based on their regression coefficients, we developed a nomogram with good discriminatory ability (area under the receiver operating characteristic curve: 0.81, 95% confidence interval [CI] 0.77-0.85) and good calibration (Hosmer-Lemeshow test, P = 0.794) for identifying NASH. In the 2 validation cohorts, the nomogram showed high area under the receiver operating characteristic curves (internal validation set: 0.80, 95% CI 0.72-0.88; external validation cohort: 0.76, 95% CI 0.72-0.80) and good calibration. DISCUSSION: Our newly developed and externally validated nomogram, incorporating both genetic and clinical risk factors, may be conveniently used to predict NASH. Further validation studies in other ethnic groups are warranted to confirm its diagnostic utility to identify NASH, among patients with biopsy-proven NAFLD.

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Accepted/In Press date: 8 February 2021
Published date: 10 March 2021
Additional Information: Publisher Copyright: Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology.

Identifiers

Local EPrints ID: 446981
URI: http://eprints.soton.ac.uk/id/eprint/446981
ISSN: 2155-384X
PURE UUID: b7af39f2-5b7b-4046-96f3-e09fa1db88ee
ORCID for Christopher Byrne: ORCID iD orcid.org/0000-0001-6322-7753

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Date deposited: 01 Mar 2021 17:31
Last modified: 17 Mar 2024 06:19

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Contributors

Author: Feng Gao
Author: Kenneth I. Zheng
Author: Sui-Dan Chen
Author: Dong Hyeon Lee
Author: Xi-Xi Wu
Author: Xiao-Dong Wang
Author: Giovanni Targher
Author: Yong-Ping Chen
Author: Won Kim
Author: Ming-Hua Zheng

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