International consortium for integrative genomics prediction

Resultado final

Plan of data standards for genetic risk scores
Report of available data resources and plan for data harmonization strategy
Access to a biobank data set through implementation of local biobank APIs and cloud resources to support federated consortium access
Implementation of phenotype harmonization
Access to first INTERVENE consortium data sets available from EMBL-EBI and CSC Cloud services

Access to first INTERVENE consortium data sets available from EMBLEBI and CSC Cloud services

Genetic validation of disease endpoints
Review of the consortium partner biobank and data collections, including access policies

Review of the consortium partner biobank and data collections including access policies

Data coordination centre established
INTERVENE consortium AI algorithms supported by CSC HPC environment on synthetic data.

INTERVENE consortium AI algorithms supported by CSC HPC environment on synthetic data

Disease endpoint selection based on available resources and AI based methods

Publicaciones

Systematic comparison of family history and polygenic risk across 24 common diseases

Autores: Nina Mars, Joni V. Lindbohm, Pietro della Briotta Parolo, Elisabeth Widén, Jaakko Kaprio, Aarno Palotie, FinnGen, Samuli Ripatti
Publicado en: AJHG, Edición Vol 109, Edición 12, 2022, Página(s) 2152-2162, ISSN 0002-9297
Editor: University of Chicago Press
DOI: 10.1016/j.ajhg.2022.10.009

A cross-disorder dosage sensitivity map of the human genome

Autores: The members of the Estonian Biobank Research Team are Andres Metspalu, Reedik Mägi, Mari Nelis, Lili Milani, and Tõnu Esko. Ryan L. Collins, Joseph T. Glessner, Eleonora Porcu, ..., Shamil Sunyaev, Harrison Brand, Michael E. Ta
Publicado en: Cell, Edición 185, 2022, Página(s) 3041-3055, ISSN 1097-4172
Editor: Cell Press
DOI: 10.1016/j.cell.2022.06.036

Genetic predictors of lifelong medication-use patterns in cardiometabolic diseases

Autores: Kiiskinen T, Helkkula P, Krebs K, Karjalainen J, Saarentaus E, Mars N, Lehisto A, Zhou W, Cordioli M, Jukarainen S, Rämö JT, Mehtonen J, Veerapen K, Räsänen M, Ruotsalainen S, Maasha M; FinnGen; Niiranen T, Tuomi T, Salomaa V, Kurki M, Pirinen M, Palotie A, Daly M, Ganna A, Havulinna AS, Milani L, Ripatti S.
Publicado en: Nature Medicine, Edición 29, 2023, Página(s) 209-218, ISSN 1546-170X
Editor: Nature
DOI: 10.1038/s41591-022-02122-5

Gene-Gene Interaction Detection with Deep Learning

Autores: Tianyu Cui, Khaoula El Mekkaoui, Jaakko Reinvall, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski
Publicado en: Communications Biology, Edición Vol 5, article 1238, 2022, ISSN 0028-0836
Editor: Nature Publishing Group
DOI: 10.1101/2021.03.12.435063

Carriers of ADAMTS13 Rare Variants Are at High Risk of Life-Threatening COVID-19

Autores: Kristina Zguro,Margherita Baldassarri,Francesca Fava,Giada Beligni,Sergio Daga,Roberto Leoncini,Lucrezia Galasso,Michele Cirianni,Stefano Rusconi,...Giuseppe Marotta,Simone Furini,GEN-COVID Multicenter Study,Alessandra Renieri, Chiara Fallerini
Publicado en: Viruses, Edición 14(6), 2022, ISSN 1999-4915
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/v14061185

Inframe insertion and splice site variants in MFGE8 associate with protection against coronary atherosclerosis

Autores: Sanni E. Ruotsalainen, Ida Surakka, Nina Mars, Juha Karjalainen, Mitja Kurki, Masahiro Kanai, Kristi Krebs, Sarah Graham, Pashupati P. Mishra, Binisha H. Mishra, Juha Sinisalo, Priit Palta, Terho Lehtimäki, Olli Raitakari, Estonian Biobank Research Team, Lili Milani, The Biobank Japan Project, Yukinori Okada, FinnGen, Aarno Palotie, Elisabeth Widen, Mark J. Daly & Samuli Ripatt
Publicado en: Nature, Edición 5, 2022, Página(s) article 802, ISSN 0028-0836
Editor: Nature Publishing Group
DOI: 10.1038/s42003-022-03552-0

An explainable model of host genetic interactions linked to COVID-19 severity

Autores: Anthony Onoja, Nicola Picchiotti, Chiara Fallerini, Margherita Baldassarri, Francesca Fava, GEN-COVID Multicenter Study, Francesca Colombo, Francesca Chiaromonte, Alessandra Renieri, Simone Furini & Francesco Raimondi
Publicado en: Nature, Comm. Biology, Edición Vol 5, 2022, Página(s) Article 1133, ISSN 2399-3642
Editor: Nature
DOI: 10.1038/s42003-022-04073-6

Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Autores: Ying Wang, Shinichi Namba, Esteban Lopera, Sini Kerminen Kristin Tsuo, Kristi Läll, Masahiro Kanai, Wei Zhou, Kuan-Han Wu, Marie-Julie Favé, Laxmi Bhatta, Philip Awadalla, Ben Brumpton, Patrick Deelen, Kristian Hveem, Valeria Lo Faro, Reedik Mägi, Yoshinori Murakami, Serena Sanna, Jordan W. Smoller…Jibril Hirbo
Publicado en: Cell Genomics, Edición Vol 3, Edición 1, 2023, ISSN 2666-979X
Editor: Cell Press
DOI: 10.1101/2021.11.18.21266545

Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps

Autores: Adebowale Adeyemo, Mary K. Balaconis, Deanna R. Darnes, Segun Fatumo, Palmira Granados Moreno, Chani J. Hodonsky, Michael Inouye, Masahiro Kanai, Kazuto Kato, Bartha M. Knoppers, Anna C. F. Lewis, Alicia R. Martin, Mark I. McCarthy, Michelle N. Meyer, Yukinori Okada, J. Brent Richards, Lucas Richter, Samuli Ripatti, Charles N. Rotimi, Saskia C. Sanderson, Amy C. Sturm, Ricardo A. Verdugo, Elisabet
Publicado en: Nature Medicine, Edición 27, 2021, Página(s) 1876-1884, ISSN 1078-8956
Editor: Nature Publishing Group
DOI: 10.1038/s41591-021-01549-6

Multitask Balanced and Recalibrated Network for Medical Code Prediction

Autores: Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Publicado en: ACM Transactions on Intelligent Systems and Technology, Edición Vol 14, Edición 1, 2022, Página(s) 1-20, ISSN 2157-6904
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3563041

Ethical layering in AI-driven polygenic risk scores—New complexities, new challenges

Autores: Fritzsche, M.-C., Akyüz, K., Cano Abadía, M., McLennan, S., Marttinen, P., Mayrhofer, M. T., & Buyx, A. M. (2023). Ethical layering in AI-driven polygenic risk scores—Fritzsche, M.-C., Akyüz, K., Cano Abadía, M., McLennan, S., Marttinen, P., Mayrhofer, M. T., & Buyx, A. M
Publicado en: Frontiers in Genetics, Edición 14, 2023, ISSN 1664-8021
Editor: Frontiers Media
DOI: 10.3389/fgene.2023.1098439

Polygenic scores in biomedical research

Autores: Iftikhar J. Kullo, Cathryn M. Lewis, Michael Inouye, Alicia R. Martin, Samuli Ripatti & Nilanjan Chatterjee
Publicado en: Nature Reviews Genetics, Edición 23, 2022, Página(s) 524-532, ISSN 1471-0056
Editor: Nature Publishing Group
DOI: 10.1038/s41576-022-00470-z

Multiparametric Platform for Profiling Lipid Trafficking in Human Leukocytes: Application for Hypercholesterolemia

Autores: Simon G. Pfisterer; Ivonne Brock; Ivonne Brock; Kristiina Kanerva; Kristiina Kanerva; Iryna Hlushchenko; Lassi Paavolainen; Pietari Ripatti; Mohammad Majharul Islam; Aija Kyttala; Maria Donata Di Taranto; Annalisa Scotto di Frega; Giuliana Fortunato; Johanna Kuusisto; Peter Horvath; Samuli Ripatti; Samuli Ripatti; Markku Laakso; Elina Ikonen; Elina Ikonen
Publicado en: Cell Reports Methods, Edición Vol 2,issue 2, 2022, ISSN 0346-251X
Editor: Pergamon Press Ltd.
DOI: 10.1101/2021.04.19.440471

Genetic risk factors have a substantial impact on healthy life years

Autores: Aki Havulinna; Sakari Jukarainen; Nina Mars
Publicado en: Nature Medicine, Edición 27, 2021, Página(s) 1876-1884, ISSN 1078-8956
Editor: Nature Publishing Group
DOI: 10.1101/2022.01.25.22269831v1

Ultra-rare RTEL1 gene variants associate with acute severity of COVID-19 and evolution to pulmonary fibrosis as a specific long COVID disorder

Autores: Laura Bergantini, Margherita Baldassarri, Miriana d’Alessandro, Giulia Brunelli, Gaia Fabbri, Kristina Zguro, Andrea Degl’Innocenti, GEN-COVID Multicenter study, Chiara Fallerini, Elena Bargagli & Alessandra Renieri
Publicado en: Respiratory Research, Edición 24, 2023, Página(s) article no 158, ISSN 1465-9921
Editor: BioMed Central
DOI: 10.1186/s12931-023-02458-7

Pathogen-sugar interactions revealed by universal saturation transfer analysis

Autores: Charles J. Buchanan, Ben Gaunt, Peter J. Harrison, Yun Yang, Jiwei Liu, Aziz Khan, Andrew M. Giltrap, Audrey Le Bas, Philip N. Ward, Kapil Gupta, Maud Dumoux, Tiong Kit Tan, Lisa Schimaski, Sergio Daga, Nicola Picchiotti, Margherita Baldassarri, Elisa Benetti, Chiara Fallerini, Francesca Fava, Annarita Giliberti, Panagiotis I. Koukos, Matthew J. Davy, Abirami Lakshminarayanan, Xiaochao Xue, Georgi
Publicado en: Science, Edición 377, 2022, ISSN 0065-7085
Editor: American Association for the Advancement of Science
DOI: 10.1126/science.abm3125

Informative Bayesian Neural Network Priors for Weak Signals

Autores: Tianyu Cui, Aki Havulinna, Pekka Marttinen, Samuel Kaski
Publicado en: Bayesian Anal., 2021, Página(s) 1-31 (2021), ISSN 1936-0975
Editor: Carnegie Mellon University
DOI: 10.1214/21-ba1291

Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease.

Autores: Yu Xu, Dragana Vuckovic, Scott C. Ritchie, ..., John Danesh, Nicole Soranzo, Michael Inouye
Publicado en: Cell Genomics, Edición Vol 2, Edición 1, 2022, ISSN 2666-979X
Editor: Cell Press
DOI: 10.1016/j.xgen.2021.100086

Omics-informed CNV calls reduce false-positive rates and improve power for CNV-trait associations

Autores: Maarja Lepamets; Chiara Auwerx; Margit Nõukas; Annique Claringbould; Eleonora Porcu; Mart Kals; Tuuli Jürgenson; Andrew Paul Morris; Urmo Võsa; Murielle Bochud; Silvia Stringhini; Cisca Wijmenga; Lude Franke; Hedi Peterson; Jaak Vilo; Kaido Lepik; Reedik Mägi; Zoltán Kutalik
Publicado en: HGG advances,, Edición vol. 3, no. 4, 2022, Página(s) pp. 100133, ISSN 0346-251X
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.xhgg.2022.100133

Ethical layering in AI-driven polygenic risk scores – new complexities, new challenges

Autores: Fritzsche, M., Akyüz, K., Abadía, M.C., McLennan, S., Marttinen, P. Mayrhofer, M.T., and Buyx, A.M.
Publicado en: Frontiers in Genetics, Edición Vol 4, 2023, ISSN 1664-8021
Editor: Frontiers Media
DOI: 10.3389/fgene.2023.1098439

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Autores: Nina Mars, Sini Kerminen, Yen-Chen A. Feng, Masahiro Kanai, Kristi Läll, Laurent F. Thomas, Anne Heidi Skogholt, Pietro della Briotta Parolo, The Biobank Japan Project, FinnGen, Benjamin M. Neale, Jordan W. Smoller, Maiken E. Gabrielsen, Kristian Hveem, Reedik Mägi, Koichi Matsuda, Yukinori Okada, Matti Pirinen, Aarno Palotie, Andrea Ganna, Alicia R. Martin
Publicado en: Cell Genomics, Edición 2, Edición 4, 2022, ISSN 2666-979X
Editor: CellPress
DOI: 10.1038/s41467-022-29143-5

Genome-wide risk prediction of common diseases across ancestries in one million people.

Autores: Nina Mars, Sini Kerminen, Yen-Chen A. Feng, Masahiro Kanai, Kristi Läll, Laurent F. Thomas, Anne Heidi Skogholt, Pietro della Briotta Parolo, The Biobank Japan Project, FinnGen, Benjamin M. Neale, Jordan W. Smoller, Maiken E. Gabrielsen, Kristian Hveem, Reedik Mägi, Koichi Matsuda, Yukinori Okada, Matti Pirinen, Aarno Palotie, Andrea Ganna, Alicia R. Martin
Publicado en: Cell Genomics, Edición Apr 13; 2(4), 2023, ISSN 2666-979X
Editor: Cell Press
DOI: 10.1016/j.xgen.2022.100118

Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes

Autores: Remo Monti, Pia Rautenstrauch, Mahsa Ghanbari, Alva Rani James, Uwe Ohler, Stefan Konigorski, Christoph Lippert
Publicado en: Nature Communications, Edición Vol 13, article 5332, 2022, Página(s) 1-16, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1101/2021.05.27.444972

Host genetic basis of COVID-19: from methodologies to genes

Autores: Kristina Zguro, Chiara Fallerini, Francesca Fava, Simone Furini & Alessandra Renieri
Publicado en: EJHG, Edición Vol 30, 2022, Página(s) 899-907, ISSN 1018-4813
Editor: Natue Publishing Group
DOI: 10.1038/s41431-022-01121-x

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

Autores: Ji, Shaoxiong; Gao, Ya; Marttinen, Pekka
Publicado en: Arxiv, Edición 6, 2023, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2301.10451

Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores

Autores: Ying Wang, Kristin Tsuo, Masahiro Kanai, Benjamin M. Neale, Alicia R. Martin
Publicado en: Annual Rev of Biomed. Data Science, Edición Vol 5, 2022, Página(s) 293-320, ISSN 2574-3414
Editor: Annual Reviews
DOI: 10.1146/annurev-biodatasci-111721-074830

Advancing our understanding of genetic risk factors and potential personalized strategies for pelvic organ prolapse

Autores: Natàlia Pujol-Gualdo, Kristi Läll, Maarja Lepamets, Estonian Biobank Research Team, Henna-Riikka Rossi, Riikka K. Arffman, Terhi T. Piltonen, Reedik Mäg, Triin Laisk
Publicado en: Nature Communications, Edición Vol 13, 2022, Página(s) article: 3584, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1038/s41467-022-31188-5

Clinical Conditions and Their Impact on Utility of Genetic Scores for Prediction of Acute Coronary Syndrome

Autores: Jiwoo Lee, Tuomo Kiiskinen, Nina Mars, Sakari Jukarainen, Erik Ingelsson, Benjamin Neale, Samuli Ripatti, Pradeep Natarajan, and Andrea Ganna
Publicado en: Circulation: Genomic and Precision Medicine, Edición Vol. 14, No. 4, 2021, ISSN 0009-7322
Editor: Lippincott Williams & Wilkins Ltd.
DOI: 10.1161/circgen.120.003283

Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland

Autores: Hartonen T*, Jermy B*, Sõnajalg H, Vartiainen P, Krebs K, Vabalas A, FinnGen, Estonian Biobank Research Team, Leino T, Nohynek H, Sivelä J, Mägi R, Daly MJ, Ollila HM, Milani L, Perola M, Ripatti S, Ganna A.
Publicado en: Nature Human Behaviour, Edición Vol 7, 2023, Página(s) 1069-1083, ISSN 1476-4687
Editor: Nature
DOI: 10.1038/s41562-023-01591-z

COVID-19: a challenge and an opportunity

Autores: Alessandra Renieri
Publicado en: EJHG, Edición Vol 30, 2022, Página(s) 870-871, ISSN 1018-4813
Editor: Natue Publishing Group
DOI: 10.1038/s41431-022-01142-6

The human genetic epidemiology of COVID-19

Autores: Mari Niemi, Mark Daly, Andrea Ganna
Publicado en: Nature Reviews: Genetics, Edición Vol 23, 2022, Página(s) 533-546, ISSN 0028-0836
Editor: Nature Publishing Group
DOI: 10.1038/s41576-022-00478-5

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

Autores: Margherita Baldassarri, Kristina Zguro, Valeria Tomati, Cristina Pastorino, Francesca Fava, Susanna Croci, Mirella Bruttini, Nicola Picchiotti, Simone Furini 2,GEN-COVID, Nicoletta Pedemonte, Chiara Gabbi, Alessandra Renieri, Chiara Fallerini
Publicado en: Cells, Edición 11(24), 2022, Página(s) 4096, ISSN 2073-4409
Editor: MDPI
DOI: 10.3390/cells11244096

Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk

Autores: Xianyong Yin; Debraj Bose; Annie Kwon; Sarah C. Hanks; Anne U. Jackson; Heather M. Stringham; Ryan Welch; Anniina Oravilahti; Lilian Fernandes Silva; Adam E. Locke; Christian Fuchsberger; Susan K. Service; Michael R. Erdos; Lori L. Bonnycastle; Johanna Kuusisto; Nathan O. Stitziel; Ira M. Hall; Jean Morrison; Samuli Ripatti; Aarno Palotie; Nelson B. Freimer; Francis S. Collins; Karen L. Mohlke; La
Publicado en: AJHG, Edición Vol 109, Edición 10, 2022, Página(s) 1727-1741, ISSN 0002-9297
Editor: University of Chicago Press
DOI: 10.1016/j.ajhg.2022.08.007

Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes

Autores: Max Tamlander, Nina Mars, Matti Pirinen, FinnGen, Elisabeth Widén & Samuli Ripatti
Publicado en: Comm. Biology, Edición Vol 5, 2022, Página(s) 158, ISSN 2399-3642
Editor: Nature
DOI: 10.1038/s42003-021-02996-0

Reducing noisy annotations for depression estimation from facial images

Autores: Lang He, Prayag Tiwari, Chonghua Lv, WenShuai Wu, Liyong Guo
Publicado en: Neural Networks, Edición Vol 153, 2022, Página(s) 120-129, ISSN 0893-6080
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2022.05.025

Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm

Autores: Steven H J Hageman, Ailsa J McKay, Peter Ueda, Laura H Gunn, Tomas Jernberg, Emil Hagström, Deepak L Bhatt, Ph. Gabriel Steg, Kristi Läll, Reedik Mägi, ...Kausik K Ray, Jannick A N Dorresteijn, Frank L J Visseren on behalf of the UCC-SMART Study Group and the ESC Cardiovascular Risk Collaboration
Publicado en: European Heart Journal, Edición 43, issue 18, 2022, Página(s) 1715-1727, ISSN 0195-668X
Editor: Oxford University Press
DOI: 10.1093/eurheartj/ehac056

ANGPTL8 protein-truncating variant associated with lower serum triglycerides and risk of coronary disease.

Autores: Pyry, Helkkula; Tuomo, Kiiskinen; Aki S, Havulinna; Juha, Karjalainen; Seppo, Koskinen; Veikko, Salomaa; Mark J, Daly; Aarno, Palotie; Ida, Surakka; Samuli, Ripatti
Publicado en: PLoS Genetics, Edición 11, 2021, ISSN 1553-7404
Editor: San Francisco, CA Public Library of Science ©2005-
DOI: 10.1371/journal.pgen.1009501

Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach

Autores: Raj, V., Cui, T., Heinonen, M., and Marttinen, P.
Publicado en: The Proceedings of 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6741-6763. (AISTATS 2023), 2023, Página(s) PMLR 206:6741-6763
Editor: PMLR

Contextualized graph embeddings for adverse drug event detection

Autores: Gao, Y., Ji, S., Zhang, T., Tiwari, P., and Marttinen, P.
Publicado en: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022
Editor: Springer
DOI: 10.1007/978-3-031-26390-3_35

HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data

Autores: Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O'Connor, Samuel Kaski, Pekka Marttinen, Pier Palamara, Christoph Lippert, Andrea Ganna
Publicado en: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022, Página(s) 1-7
Editor: NeurIPS

Causal Modeling of Policy Interventions From Treatment–Outcome Sequences

Autores: Hizli, C., John, S.T., Juuti, A., Saarinen, T., Pietiläinen, K., and Marttinen, P.
Publicado en: The 40th International Conference on Machine Learning (ICML 2023), 2023
Editor: unkonwn

Deconfounded Representation Similarity for Comparison of Neural Networks

Autores: Cui, T., Kumar, Y., Marttinen, P., and Kaski, S.
Publicado en: 2022, ISBN 9781713871088
Editor: NeurIPS Proceedings

Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

Autores: Ji, Shaoxiong; Marttinen, Pekka
Publicado en: The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)., Edición 1, 2023, Página(s) 589-598
Editor: EACL
DOI: 10.48550/arxiv.2109.03062

A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models

Autores: Severi Rissanen, Pekka Marttinen
Publicado en: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
Editor: NeurIPS 2021

Characterizing personalized effects of family information on disease risk using graph representation learning

Autores: Wharrie, S., Yang, Z., Ganna, A., & Kaski, S.
Publicado en: Proceedings of Machine Learning Research, 2023
Editor: unknown

A Unified Review of Deep Learning for Automated Medical Coding

Autores: Ji, Shaoxiong; Sun, Wei; Li, Xiaobo; Dong, Hang; Taalas, Ara; Zhang, Yijia; Wu, Honghan; Pitkänen, Esa; Marttinen, Pekka
Publicado en: J of ACM, Edición Vol 37, no 4, article 111, 2022, ISSN 0004-5411
Editor: Association for Computing Machinary, Inc.
DOI: 10.48550/arxiv.2201.02797

A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk

Autores: Bradley Jermy, Kristi Läll, Brooke Wolford, Ying Wang, Kristina Zguro, Yipeng Cheng, Masahiro Kanai, Stavroula Kanoni, Zhiyu Yang, Tuomo Hartonen, Remo Monti, Julian Wanner, Omar Youssef, Estonian Biobank research team, FinnGen, Christoph Lippert, David van Heel, Yukinori Okada, Daniel L.McCartney, Caroline Hayward, Riccardo E. Marioni, Simone Furini, Alessandra Renieri, Alicia R. Martin, Benjami
Publicado en: MedRxiv, 2023, ISSN 1476-4687
Editor: tbc
DOI: 10.1101/2023.06.12.23291186

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