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Zhaotong Lin

Showing results (11-20 of 26) with videos related to

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HGG Advances|February 1, 2025
Unbiased causal inference with Mendelian randomization and covariate-adjusted GWAS dataPeiyao Wang, Zhaotong Lin, Wei Pan
Plos Genetics|May 26, 2026
MR2G: A novel framework for causal network inference using GWAS summary dataZhaotong Lin, Wei Pan, Haoran Xue
Human Molecular Genetics|June 27, 2023
Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputationJingchen Ren, Zhaotong Lin, Wei Pan
HGG Advances|October 11, 2022
Leveraging omics data to boost the power of genome-wide association studiesZhaotong Lin, Katherine A Knutson, Wei Pan
American Journal of Human Genetics|January 10, 2025
Multivariate proteome-wide association study to identify causal proteins for Alzheimer diseaseLei Fang, Haoran Xue, Zhaotong Lin, et al.
Plos Genetics|April 22, 2024
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomizationPeiyao Wang, Zhaotong Lin, Haoran Xue, et al.
Genetic Epidemiology|August 13, 2023
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary dataSiyi Chen, Zhaotong Lin, Xiaotong Shen, et al.
HGG Advances|May 14, 2023
Using GWAS summary data to impute traits for genotyped individualsJingchen Ren, Zhaotong Lin, Ruoyu He, et al.
Statistical Analysis and Data Mining|May 8, 2026
Extracting Genetically-Imputed Causal Features From ECG DataYuchen Yao, Zhaotong Lin, Xiaotong Shen, et al.
Human Molecular Genetics|January 19, 2022
Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studiesZhaotong Lin, Haoran Xue, Mykhaylo M Malakhov, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
HGG Advances|February 1, 2025
Unbiased causal inference with Mendelian randomization and covariate-adjusted GWAS dataPeiyao Wang, Zhaotong Lin, Wei Pan
Plos Genetics|May 26, 2026
MR2G: A novel framework for causal network inference using GWAS summary dataZhaotong Lin, Wei Pan, Haoran Xue
Human Molecular Genetics|June 27, 2023
Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputationJingchen Ren, Zhaotong Lin, Wei Pan
HGG Advances|October 11, 2022
Leveraging omics data to boost the power of genome-wide association studiesZhaotong Lin, Katherine A Knutson, Wei Pan
American Journal of Human Genetics|January 10, 2025
Multivariate proteome-wide association study to identify causal proteins for Alzheimer diseaseLei Fang, Haoran Xue, Zhaotong Lin, et al.
Plos Genetics|April 22, 2024
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomizationPeiyao Wang, Zhaotong Lin, Haoran Xue, et al.
Genetic Epidemiology|August 13, 2023
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary dataSiyi Chen, Zhaotong Lin, Xiaotong Shen, et al.
HGG Advances|May 14, 2023
Using GWAS summary data to impute traits for genotyped individualsJingchen Ren, Zhaotong Lin, Ruoyu He, et al.
Statistical Analysis and Data Mining|May 8, 2026
Extracting Genetically-Imputed Causal Features From ECG DataYuchen Yao, Zhaotong Lin, Xiaotong Shen, et al.
Human Molecular Genetics|January 19, 2022
Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studiesZhaotong Lin, Haoran Xue, Mykhaylo M Malakhov, et al.
Pageof 3