Huanhuan Zhu

发表

Transcriptome-wide association studies: a view from Mendelian randomization

Xiang Zhou, Huanhuan Zhu, 2020, Quantitative Biology.

A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell Types

Lulu Shang, Xiang Zhou, Huanhuan Zhu, 2021, Frontiers in Genetics.

Power Comparisons of Methods for Joint Association Analysis of Multiple Phenotypes

Shuanglin Zhang, Q. Sha, Huanhuan Zhu, 2016, Human Heredity.

A Chinese host genetic study discovered IFNs and causality of laboratory traits on COVID-19 severity

Huanming Yang, Jian Wang, Xin Jin, 2021, iScience.

MCC-SP: a powerful integration method for identification of causal pathways from genetic variants to complex disease

Jiadong Ji, Zhongshang Yuan, F. Xue, 2020, BMC Genetics.

Robust meta‐analysis of biobank‐based genome‐wide association studies with unbalanced binary phenotypes

Seunggeun Lee, Lars G Fritsche, Rounak Dey, 2019, Genetic epidemiology.

A novel statistical method for rare-variant association studies in general pedigrees

Xuexia Wang, Q. Sha, Huanhuan Zhu, 2016, BMC Proceedings.

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies

Xiang Zhou, Can Yang, Ping Zeng, 2019, Nature Communications.

A novel method to test associations between a weighted combination of phenotypes and genetic variants

Qiuying Sha, Huanhuan Zhu, Shuanglin Zhang, 2018, PloS one.

Statistical methods for SNP heritability estimation and partition: A review

Xiaoping Zhou, Huanhuan Zhu, 2020, Computational and structural biotechnology journal.

Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analyses

Qinke Peng, Fan Yue, Huanhuan Zhu, 2020, Bioinform..

A Chinese host genetic study discovered type I interferons and causality of cholesterol levels and WBC counts on COVID-19 severity

Xin Jin, Y. Shan, X. Zhu, 2021, medRxiv.