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Helian Feng

Showing results (1-10 of 8) with videos related to

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Genetic Epidemiology|June 3, 2021
Multitrait transcriptome-wide association study (TWAS) testsHelian Feng, Nicholas Mancuso, Bogdan Pasaniuc, et al.
Plos Genetics|April 8, 2021
Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studiesHelian Feng, Nicholas Mancuso, Alexander Gusev, et al.
Genetic Epidemiology|May 30, 2018
Transcriptome-wide association studies accounting for colocalization using Egger regressionRichard Barfield, Helian Feng, Alexander Gusev, et al.
Elife|April 13, 2021
AAV-Txnip prolongs cone survival and vision in mouse models of retinitis pigmentosaYunlu Xue, Sean K Wang, Parimal Rana, et al.
Journal of the National Cancer Institute|March 17, 2023
Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regionsSara Lindström, Lu Wang, Helian Feng, et al.
HGG Advances|August 6, 2021
Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signalsHongjie Chen, Arunabha Majumdar, Lu Wang, et al.
Nature Genetics|June 20, 2018
A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancerLang Wu, Wei Shi, Jirong Long, et al.
Genetic Epidemiology|March 3, 2020
Transcriptome-wide association study of breast cancer risk by estrogen-receptor statusHelian Feng, Alexander Gusev, Bogdan Pasaniuc, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Genetic Epidemiology|June 3, 2021
Multitrait transcriptome-wide association study (TWAS) testsHelian Feng, Nicholas Mancuso, Bogdan Pasaniuc, et al.
Plos Genetics|April 8, 2021
Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studiesHelian Feng, Nicholas Mancuso, Alexander Gusev, et al.
Genetic Epidemiology|May 30, 2018
Transcriptome-wide association studies accounting for colocalization using Egger regressionRichard Barfield, Helian Feng, Alexander Gusev, et al.
Elife|April 13, 2021
AAV-Txnip prolongs cone survival and vision in mouse models of retinitis pigmentosaYunlu Xue, Sean K Wang, Parimal Rana, et al.
Journal of the National Cancer Institute|March 17, 2023
Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regionsSara Lindström, Lu Wang, Helian Feng, et al.
HGG Advances|August 6, 2021
Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signalsHongjie Chen, Arunabha Majumdar, Lu Wang, et al.
Nature Genetics|June 20, 2018
A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancerLang Wu, Wei Shi, Jirong Long, et al.
Genetic Epidemiology|March 3, 2020
Transcriptome-wide association study of breast cancer risk by estrogen-receptor statusHelian Feng, Alexander Gusev, Bogdan Pasaniuc, et al.
Pageof 1