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. 2022 Jul 8;12(7):e958. doi: 10.1002/ctm2.958

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© 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Prediction of UPDRS III score by gene expression of potential biomarkers. (A) Correlation between genetic expression of LRRK2, HMOX1, TLR2, and ATG7 and change in UPDRS III score. (B) Correlation between genetic expression of LRRK2, TLR2, and ATG7 and raw UPDRS III score. (C) Multiple linear regression analysis of effect of genetic expression of LRRK2, HMOX1, TLR2, TLR8, and ATG7 on change in UPDRS III score. (D) Multiple linear regression analysis of effect of genetic expression of LRRK2, HMOX1, TLR2, TLR8, and ATG7 on raw UPDRS III score. (A,B) r = Pearson product‐moment correlation coefficient. (C,D) r = regression coefficient. p ≤ 0.05 was considered significant