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Haibo Zhou

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Articles

A Modified Random Survival Forest for Improving Prediction Accuracy in Case-Cohort and Generalized Case-Cohort Studies

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By Haolin Li, Haibo Zhou, David C. Couper
| Wiley Online Library Verified
Data Availability Statement The data that support the findings of this study are available from the Atherosclerosis Risk in Communities (ARIC) Study. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from https://aric.cscc.unc.edu/aric9/ with the permission of the Atherosclerosis Risk in Communities (ARIC) Study.
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Linking GWAS risk genes to transcriptional features of major depressive disorder via in vivo Perturb-seq

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By Liansheng Zhang, Xiangrui Kong, Qi Ma, Xinde Hu, Bo Wang, Tao Bai, Meimei Zhang, Liu Kun Fan, Tianwen Li, Xingyu Liu, Huatai Xu, Jianrong Wu, Yuanyi Zheng, Zhengzheng Xu, Haibo Zhou, Shicheng Cai, Weijuan Zou, Runlin Tan, Ziji Dai, Zhiheng Jia
| Nature Verified
Abstract Major depressive disorder (MDD) is a complex disorder with numerous risk genes identified through genome-wide association studies, but their in vivo functions remain unclear. Here we built an in vivo adeno-associated virus (AAV)-Perturb-seq system to perform parallel loss-of-function screening of MDD risk genes in the mouse brain and to define their transcriptional effects and functional relationships.
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Age at Menopause and Trajectories of Multimorbidity Progression to Mortality: A Multi-State Analysis of UK Biobank Data

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By Min Li, Tianyu Liu, Haibo Zhou
| Wiley Online Library Verified
1 Background Multimorbidity, defined as the co-occurrence of two or more chronic diseases in an individual, poses a significant challenge to health systems worldwide [1]. Accumulating evidence demonstrates that patients with multimorbidity face a higher risk of premature mortality and longer hospital stays compared with those with a single condition [2, 3]. These patients have a two-fold higher risk of mortality relative to individuals without multimorbidity [4].
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