Rezultati - Arjun Bhattacharya

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  1. 1
    MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies

    MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies od Arjun Bhattacharya, Yun Li, Michael I. Love

    Izdano 2021
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  2. 2
    A framework for transcriptome-wide association studies in breast cancer in diverse study populations

    A framework for transcriptome-wide association studies in breast cancer in diverse study populations od Arjun Bhattacharya, Montserrat García‐Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, Michael I. Love

    Izdano 2020
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  3. 3
    The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank

    The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank od Ruth Johnson, Yi Ding, Arjun Bhattacharya, Sergey Knyazev, Alec Chiu, Clara Lajonchere, Daniel H. Geschwind, Bogdan Paşaniuc

    Izdano 2023
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  4. 4
    Impact of cross-ancestry genetic architecture on GWASs in admixed populations

    Impact of cross-ancestry genetic architecture on GWASs in admixed populations od Rachel Mester, Kangcheng Hou, Yi Ding, Gillian Meeks, Kathryn S. Burch, Arjun Bhattacharya, Brenna M. Henn, Bogdan Paşaniuc

    Izdano 2023
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  5. 5
    Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain

    Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain od Arjun Bhattacharya, Daniel Vo, Connor Jops, Minsoo Kim, Cindy Wen, Jonatan L. Hervoso, Bogdan Paşaniuc, Michael J. Gandal

    Izdano 2023
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  6. 6
    Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm

    Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm od Hudson P. Santos, Arjun Bhattacharya, Robert Joseph, Lisa Smeester, Karl Kuban, Carmen J. Marsit, T. Michael O’Shea, Rebecca C. Fry

    Izdano 2020
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  7. 7
    Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative

    Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative od Arjun Bhattacharya, Jibril Hirbo, Dan Zhou, Wei Zhou, Jie Zheng, Masahiro Kanai, Bogdan Paşaniuc, Eric R. Gamazon, Nancy J. Cox

    Izdano 2022
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  8. 8
    An approach for normalization and quality control for NanoString RNA expression data

    An approach for normalization and quality control for NanoString RNA expression data od Arjun Bhattacharya, Alina M. Hamilton, Helena Furberg, Eugene J. Pietzak, Mark P. Purdue, Melissa A. Troester, Katherine A. Hoadley, Michael I. Love

    Izdano 2020
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  9. 9
    Epigenome-wide DNA methylation in placentas from preterm infants: association with maternal socioeconomic status

    Epigenome-wide DNA methylation in placentas from preterm infants: association with maternal socioeconomic status od Hudson P. Santos, Arjun Bhattacharya, Elizabeth M. Martin, Kezia Addo, Matt Psioda, Lisa Smeester, Robert M. Joseph, Stephen R. Hooper, Jean A. Frazier, Karl Kuban, T. Michael O’Shea, Rebecca C. Fry

    Izdano 2019
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  10. 10
    Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases

    Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases od Huiling Zhao, Humaria Rasheed, Therese Haugdahl Nøst, Yoonsu Cho, Yi Liu, Laxmi Bhatta, Arjun Bhattacharya, Gibran Hemani, George Davey Smith, Ben Brumpton, Wei Zhou, Benjamin M. Neale, Tom R. Gaunt, Jie Zheng

    Izdano 2022
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  11. 11
    Placental genomics mediates genetic associations with complex health traits and disease

    Placental genomics mediates genetic associations with complex health traits and disease od Arjun Bhattacharya, Anastasia N. Freedman, Vennela Avula, Rebeca Harris, Weifang Liu, Calvin Pan, Aldons J. Lusis, Robert Joseph, Lisa Smeester, Hadley J. Hartwell, Karl Kuban, Carmen J. Marsit, Yun Li, T. Michael O’Shea, Rebecca C. Fry, Hudson P. Santos

    Izdano 2022
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  12. 12
    Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics

    Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics od Chloe X. Yap, Daniel Vo, Matthew G. Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E. Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilís Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H. Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Paşaniuc, Jonathan Mill, Chongyuan Luo, Michael J. Gandal

    Izdano 2024
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  13. 13
    Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative

    Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative od Ruth Johnson, Yi Ding, Vidhya Venkateswaran, Arjun Bhattacharya, Kristin Boulier, Alec Chiu, Sergey Knyazev, Tommer Schwarz, Malika Freund, Lingyu Zhan, Kathryn S. Burch, Christa Caggiano, Brian L. Hill, Nadav Rakocz, Brunilda Balliu, Christopher T. Denny, Jae Hoon Sul, Noah Zaitlen, Valerie A. Arboleda, Eran Halperin, Sriram Sankararaman, Manish J. Butte, Clara Lajonchere, Daniel H. Geschwind, Bogdan Paşaniuc

    Izdano 2022
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  14. 14
    Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD

    Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD od Michael J. Gandal, Jillian R. Haney, Brie Wamsley, Chloe X. Yap, Sepideh Parhami, Prashant S. Emani, Nathan Chang, George Chen, Gil D. Hoftman, Diego de Alba, Gokul Ramaswami, Christopher Hartl, Arjun Bhattacharya, Chongyuan Luo, Ting Jin, Daifeng Wang, Riki Kawaguchi, Diana Quintero, Jing Ou, Ye Wu, Neelroop Parikshak, Vivek Swarup, T. Grant Belgard, Mark Gerstein, Bogdan Paşaniuc, Daniel H. Geschwind

    Izdano 2022
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  15. 15
    Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications

    Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications od Daniel F. Levey, Marco Galimberti, Joseph D. Deak, Frank R. Wendt, Arjun Bhattacharya, Dóra Koller, Kelly Harrington, Rachel Quaden, Emma C. Johnson, Priya Gupta, Mahantesh I. Biradar, Max Lam, Megan E. Cooke, Veera M. Rajagopal, Stefany Lucas Lopes Empke, Hang Zhou, Yaira Z. Nuñez, Henry R. Kranzler, Howard J. Edenberg, Arpana Agrawal, Jordan W. Smoller, Todd Lencz, David M. Hougaard, Anders D. Børglum, Ditte Demontis, J. Michael Gaziano, Michael J. Gandal, Renato Polimanti, Murray B. Stein, Joel Gelernter

    Izdano 2023
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  16. 16
    Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation

    Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation od Valeria Lo Faro, Arjun Bhattacharya, Wei Zhou, Dan Zhou, Ying Wang, Kristi Läll, Masahiro Kanai, Esteban A. Lopera-Maya, Péter Straub, Priyanka Pawar, Ran Tao, Xue Zhong, Shinichi Namba, Serena Sanna, Ilja M. Nolte, Yukinori Okada, Nathan Ingold, Stuart MacGregor, Harold Snieder, Ida Surakka, Jonathan Shortt, Chris Gignoux, Nicholas Rafaels, Kristy Crooks, Anurag Verma, Shefali S. Verma, Lindsay Guare, Daniel J. Rader, Cristen J. Willer, Alicia R. Martin, Milam A. Brantley, Eric R. Gamazon, Nomdo M. Jansonius, Karen M. Joos, Nancy J. Cox, Jibril Hirbo

    Izdano 2024
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  17. 17
    Single-cell genomics and regulatory networks for 388 human brains

    Single-cell genomics and regulatory networks for 388 human brains od Prashant S. Emani, Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta, Ran Meng, Che-Yu Lee, Siwei Xu, Cagatay Dursun, Shaoke Lou, Yuhang Chen, Zhiyuan Chu, Timur R. Galeev, Ahyeon Hwang, Yunyang Li, Pengyu Ni, Xiao Zhou, Trygve E. Bakken, Jaroslav Bendl, Lucy Bicks, Tanima Chatterjee, Lijun Cheng, Yuyan Cheng, Yi Dai, Ziheng Duan, Mary Flaherty, John F. Fullard, Michael Gancz, Diego Garrido-Martín, Sophia C. Gaynor-Gillett, Jennifer Grundman, Natalie Hawken, Ella Henry, Gabriel E. Hoffman, Ao Huang, Yunzhe Jiang, Ting Jin, Nikolas L. Jorstad, Riki Kawaguchi, Saniya Khullar, Jianyin Liu, Junhao Liu, Shuang Liu, Shaojie Ma, Michael Margolis, Samantha Mazariegos, Jill E. Moore, Jennifer Moran, Éric Nguyen, Nishigandha Phalke, Milos Pjanic, Henry Pratt, Diana Quintero, Ananya S. Rajagopalan, Tiernon R. Riesenmy, Nicole Shedd, Manman Shi, Megan Spector, Rosemarie Terwilliger, Kyle J. Travaglini, Brie Wamsley, Gaoyuan Wang, Yan Xia, Shaohua Xiao, Andrew C. Yang, Suchen Zheng, Michael J. Gandal, Donghoon Lee, Ed S. Lein, Panos Roussos, Nenad Šestan, Zhiping Weng, Kevin P. White, Hyejung Won, Matthew J. Girgenti, Jing Zhang, Daifeng Wang, Daniel H. Geschwind, Mark Gerstein, Schahram Akbarian, Alexej Abyzov, Nadav Ahituv, Dhivya Arasappan, José Juan Almagro Armenteros, Brian J. Beliveau, Sabina Berretta, Rahul Bharadwaj, Arjun Bhattacharya, Kristen Brennand, Davide Capauto, Frances A. Champagne, Chris Chatzinakos, H. Isaac Chen, Lijun Cheng, Andrew Chess, Jo-fan Chien, Ashley Clement, Leonardo Collado‐Torres, Gregory M. Cooper

    Izdano 2024
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  18. 18
    Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases

    Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases od Wei Zhou, Masahiro Kanai, Kuan-Han Wu, Humaira Rasheed, Kristin Tsuo, Jibril Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben Brumpton, Sameer Chavan, Tzu‐Ting Chen, Michelle Daya, Yi Ding, Yen‐Chen Anne Feng, Christopher R. Gignoux, Sarah E. Graham, Whitney Hornsby, Nathan Ingold, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Priit Palta, Anita Pandit, Michael Preuß, Unnur Þorsteinsdóttir, Jasmina Uzunović, Matthew Zawistowski, Xue Zhong, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Chris Griffiths, Yu Guo, Karen A. Hunt, Takahiro Konuma, Riccardo E. Marioni, Jansonius Nomdo, Snehal Patil, Nicholas Rafaels, Anne Richmond, Jonathan Shortt, Péter Straub, Ran Tao, Brett Vanderwerff, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia‐Yen Chen, Judy H. Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer E. Huffman, Clara Lajonchere, Matthew H. Law, Liming Li, Cecilia M. Lindgren, Ruth J. F. Loos, Stuart MacGregor, Koichi Matsuda, Catherine M. Olsen, David J. Porteous, Jordan A. Shavit, Harold Snieder, Richard C. Trembath, Judith M. Vonk, David C. Whiteman, Stephen J. Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Philip Awadalla, Michael Boehnke, Nancy J. Cox, Daniel H. Geschwind, Caroline Hayward, Kristian Hveem

    Izdano 2021
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  19. 19
    Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

    Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease od Wei Zhou, Masahiro Kanai, Kuan-Han Wu, Humaira Rasheed, Kristin Tsuo, Jibril Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben Brumpton, Sameer Chavan, Tzu‐Ting Chen, Michelle Daya, Yi Ding, Yen‐Chen Anne Feng, Lindsay Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney Hornsby, Nathan Ingold, Said I. Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Sonia Moreno‐Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael Preuß, Chadi Saad, Shefali Setia-Verma, Unnur Þorsteinsdóttir, Jasmina Uzunović, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Scott M. Damrauer, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Chris Griffiths, Yu Guo, Karen A. Hunt, Alexander Ioannidis, Nomdo M. Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E. Marioni, Babak Moatamed, Marco A. Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas‐Muñoz, Jonathan Shortt, Péter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia‐Yen Chen, Judy H. Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer E. Huffman

    Izdano 2022
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  20. 20
    Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

    Meta-analysis fine-mapping is often miscalibrated at single-variant resolution od Masahiro Kanai, Roy Elzur, Wei Zhou, Mark J. Daly, Hilary K. Finucane, Wei Zhou, Masahiro Kanai, Kuan-Han Wu, Humaira Rasheed, Kristin Tsuo, Jibril Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben Brumpton, Sameer Chavan, Tzu‐Ting Chen, Michelle Daya, Yi Ding, Yen‐Chen Anne Feng, Lindsay Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney Hornsby, Nathan Ingold, Said I. Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Sonia Moreno‐Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael Preuß, Chadi Saad, Shefali Setia-Verma, Unnur Þorsteinsdóttir, Jasmina Uzunović, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Scott M. Damrauer, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Chris Griffiths, Yu Guo, Karen A. Hunt, Alexander Ioannidis, Nomdo M. Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E. Marioni, Babak Moatamed, Marco A. Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas‐Muñoz, Jonathan Shortt, Péter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia‐Yen Chen, Judy H. Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Eric R. Gamazon

    Izdano 2022
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