Marco A. Nava-Aguilar - Amphora Health

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Papers共 5 篇Author StatisticsCo-AuthorSimilar Experts

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PGS-Explorer: A Web-Based Meta-Analysis Tool for Polygenic Scores

Arturo Lopez Pineda, Rafael Perez Estrada,Marco A. Nava-Aguilar, Adriana Menchaca Mendez, Victor H. Anaya-Munoz,Sonia Moreno-Grau

JOURNAL OF CLINICAL ONCOLOGYno. 16 (2023)

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DiabetIA: Building Machine Learning Models for Type 2 Diabetes Complications

Joaquin Tripp, Daniel Santana-Quinteros, Rafael Perez-Estrada,Mario F. Rodriguez-Moran, Cesar Arcos-Gonzalez, Jesus Mercado-Rios, Fermin Cristobal-Perez, Braulio R. Hernandez-Martinez,Marco A. Nava-Aguilar,Gilberto Gonzalez-Arroyo, Edgar P. Salazar-Fernandez, Pedro S. Quiroz-Armada,Ricarda Cortes-Vieyra, Ruth Noriega-Cisneros, Guadalupe Zinzun-Ixta, Maria C. Maldonado-Pichardo, Luis J. Flores-Alvarez, Seydhel C. Reyes-Granados, Ricardo Chagolla-Morales, Juan G. Paredes-Saralegui,Marisol Flores-Garrido,Luis M. Garcia-Velazquez,Karina M. Figueroa-Mora,Anel Gomez-Garcia,Cleto Alvarez-Aguilar,Arturo Lopez-Pineda

medRxiv (Cold Spring Harbor Laboratory) (2023)

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Validating and Automating Learning of Cardiometabolic Polygenic Risk Scores from Direct-to-consumer Genetic and Phenotypic Data: Implications for Scaling Precision Health Research

Arturo Lopez-Pineda,Manvi Vernekar,Sonia Moreno-Grau,Agustin Rojas-Munoz,Babak Moatamed,Ming Ta Michael Lee,Marco A. Nava-Aguilar,Gilberto Gonzalez-Arroyo,Kensuke Numakura, Yuta Matsuda,Alexander Ioannidis,Nicholas Katsanis,Tomohiro Takano,Carlos D. Bustamante

Human genomicsno. 1 (2022): 37-37

Cited1Views0WOSBibtex

Global Biobank Meta-analysis Initiative: Powering Genetic Discovery Across Human Disease

Wei Zhou,Masahiro Kanai,Kuan-Han H. Wu,Humaira Rasheed,Kristin Tsuo,Jibril B. Hirbo, Ying Wang,Arjun Bhattacharya,Huiling Zhao,Shinichi Namba,Ida Surakka,Brooke N. Wolford,Valeria Lo Faro,Esteban A. Lopera-Maya,Kristi Lall,Marie-Julie Fave,Juulia J. Partanen, Sine ad B. Chapman,Juha Karjalainen,Mitja Kurki, Mutaamba Maasha,Ben M. Brumpton,Sameer Chavan,Tzu-Ting Chen,Michelle Daya, Yi Ding,Yen-Chen A. Feng,Lindsay A. Guare,Christopher R. Gignoux,Sarah E. Graham,Whitney E. 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 H. Preuss,Chadi Saad,Shefali Setia-Verma,Unnur Thorsteinsdottir,Jasmina Uzunovic, Anurag Verma,Matthew Zawistowski, Xue Zhong,Nahla Afifi, Kawthar M. 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,Christopher J. 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-Munoz,Jonathan A. Shortt,Peter Straub, Ran Tao,Brett Vanderwerff,Manvi Vernekar,Yogasudha Veturi, Kathleen C. Barnes,Marike Boezen,Zhengming Chen, Chia-Yen Chen,Judy Cho, George Davey Smith,Hilary K. Finucane,Lude Franke,Eric R. Gamazon,Andrea Ganna, Tom R. Gaunt, Tian Ge,Hailiang Huang,Jennifer Huffman,Nicholas Katsanis,Jukka T. Koskela,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,Tomohiro Takano,Richard C. Trembath,Judith M. Vonk, David C. Whiteman,Stephen J. Wicks,Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou,Philip Awadalla,Michael Boehnke,Carlos D. Bustamante, Nancy J. Cox, Segun Fatumo, Daniel H. Geschwind,Caroline Hayward,Kristian Hveem, Eimear E. Kenny,Seunggeun Lee,Yen-Feng Lin,Hamdi Mbarek,Reedik Magi,Hilary C. Martin,Sarah E. Medland,Yukinori Okada,Aarno Palotie,Bogdan Pasaniuc,Daniel J. Rader,Marylyn D. Ritchie,Serena Sanna,Jordan W. Smoller,Kari Stefansson,David A. van Heel,Robin G. Walters,Sebastian Zollner,Alicia R. Martin,Cristen J. Willer,Mark J. Daly,Benjamin M. Neale

Cell genomics（2022）

Cited73Views0WOSBibtex

Additional File 1 of Validating and Automating Learning of Cardiometabolic Polygenic Risk Scores from Direct-to-consumer Genetic and Phenotypic Data: Implications for Scaling Precision Health Research

Arturo Lopez-Pineda,Manvi Vernekar,Sonia Moreno‐Grau,Agustin Rojas-Muñoz,Babak Moatamed,Ming Ta Michael Lee,Marco A. Nava-Aguilar,Gilberto Gonzalez-Arroyo,Kensuke Numakura, Yuta Matsuda,Alexander Ioannidis,Nicholas Katsanis, Toru Takano,Carlos D. Bustamante

Figshare (2022)

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