Hasil Pencarian - eQTLGen Consortium

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  1. 1
    C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis.

    C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis. oleh Kaido Lepik, Tarmo Annilo, Viktorija Kukuškina, eQTLGen Consortium, Kai Kisand, Zoltán Kutalik, Pärt Peterson, Hedi Peterson

    Diterbitkan 2017-09-01
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  2. 2
    Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

    Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits oleh Eleonora Porcu, Sina Rüeger, Kaido Lepik, eQTLGen Consortium, BIOS Consortium, Federico A. Santoni, Alexandre Reymond, Zoltán Kutalik

    Diterbitkan 2019-07-01
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  3. 3
    Optimizing expression quantitative trait locus mapping workflows for single-cell studies

    Optimizing expression quantitative trait locus mapping workflows for single-cell studies oleh Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, single-cell eQTLGen consortium, Davis J. McCarthy, Marc Jan Bonder

    Diterbitkan 2021-06-01
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  4. 4
    Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation

    Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation oleh Zoha Kamali, Jacob M. Keaton, Shaghayegh Haghjooy Javanmard, International Consortium of Blood Pressure, Million Veteran Program, eQTLGen Consortium, BIOS Consortium, Todd L. Edwards, Harold Snieder, Ahmad Vaez

    Diterbitkan 2022-07-01
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  5. 5
    OTTERS: a powerful TWAS framework leveraging summary-level reference data

    OTTERS: a powerful TWAS framework leveraging summary-level reference data oleh Qile Dai, Geyu Zhou, Hongyu Zhao, Urmo Võsa, Lude Franke, Alexis Battle, Alexander Teumer, Terho Lehtimäki, Olli T. Raitakari, Tõnu Esko, eQTLGen Consortium, Michael P. Epstein, Jingjing Yang

    Diterbitkan 2023-03-01
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  6. 6
    Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure

    Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure oleh Roy Oelen, Dylan H. de Vries, Harm Brugge, M. Grace Gordon, Martijn Vochteloo, single-cell eQTLGen consortium, BIOS Consortium, Chun J. Ye, Harm-Jan Westra, Lude Franke, Monique G. P. van der Wijst

    Diterbitkan 2022-06-01
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  7. 7
    Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances

    Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances oleh Paul RHJ Timmers, Ninon Mounier, Kristi Lall, Krista Fischer, Zheng Ning, Xiao Feng, Andrew D Bretherick, David W Clark, eQTLGen Consortium, Xia Shen, Tõnu Esko, Zoltán Kutalik, James F Wilson, Peter K Joshi

    Diterbitkan 2019-01-01
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  8. 8
    Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

    Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods oleh Drew Neavin, Anne Senabouth, Himanshi Arora, Jimmy Tsz Hang Lee, Aida Ripoll-Cladellas, sc-eQTLGen Consortium, Lude Franke, Shyam Prabhakar, Chun Jimmie Ye, Davis J. McCarthy, Marta Melé, Martin Hemberg, Joseph E. Powell

    Diterbitkan 2024-04-01
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  9. 9
    Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

    Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes oleh Angli Xue, Yang Wu, Zhihong Zhu, Futao Zhang, Kathryn E. Kemper, Zhili Zheng, Loic Yengo, Luke R. Lloyd-Jones, Julia Sidorenko, Yeda Wu, eQTLGen Consortium, Allan F. McRae, Peter M. Visscher, Jian Zeng, Jian Yang

    Diterbitkan 2018-07-01
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  10. 10
    Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

    Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood oleh Ting Qi, Yang Wu, Jian Zeng, Futao Zhang, Angli Xue, Longda Jiang, Zhihong Zhu, Kathryn Kemper, Loic Yengo, Zhili Zheng, eQTLGen Consortium, Riccardo E. Marioni, Grant W. Montgomery, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang

    Diterbitkan 2018-06-01
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  11. 11
    Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

    Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data oleh Shuang Li, Katharina T. Schmid, Dylan H. de Vries, Maryna Korshevniuk, Corinna Losert, Roy Oelen, Irene V. van Blokland, BIOS Consortium, sc-eQTLgen Consortium, Hilde E. Groot, Morris A. Swertz, Pim van der Harst, Harm-Jan Westra, Monique G.P. van der Wijst, Matthias Heinig, Lude Franke

    Diterbitkan 2023-04-01
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