International consortium for integrative genomics prediction

Risultati finali

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

Pubblicazioni

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

Autori: Nina Mars, Joni V. Lindbohm, Pietro della Briotta Parolo, Elisabeth Widén, Jaakko Kaprio, Aarno Palotie, FinnGen, Samuli Ripatti
Pubblicato in: AJHG, Numero Vol 109, Numero 12, 2022, Pagina/e 2152-2162, ISSN 0002-9297
Editore: University of Chicago Press
DOI: 10.1016/j.ajhg.2022.10.009

A cross-disorder dosage sensitivity map of the human genome

Autori: 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
Pubblicato in: Cell, Numero 185, 2022, Pagina/e 3041-3055, ISSN 1097-4172
Editore: Cell Press
DOI: 10.1016/j.cell.2022.06.036

Genetic predictors of lifelong medication-use patterns in cardiometabolic diseases

Autori: 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.
Pubblicato in: Nature Medicine, Numero 29, 2023, Pagina/e 209-218, ISSN 1546-170X
Editore: Nature
DOI: 10.1038/s41591-022-02122-5

Gene-Gene Interaction Detection with Deep Learning

Autori: Tianyu Cui, Khaoula El Mekkaoui, Jaakko Reinvall, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski
Pubblicato in: Communications Biology, Numero Vol 5, article 1238, 2022, ISSN 0028-0836
Editore: Nature Publishing Group
DOI: 10.1101/2021.03.12.435063

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

Autori: 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
Pubblicato in: Viruses, Numero 14(6), 2022, ISSN 1999-4915
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/v14061185

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

Autori: 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
Pubblicato in: Nature, Numero 5, 2022, Pagina/e article 802, ISSN 0028-0836
Editore: Nature Publishing Group
DOI: 10.1038/s42003-022-03552-0

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

Autori: Anthony Onoja, Nicola Picchiotti, Chiara Fallerini, Margherita Baldassarri, Francesca Fava, GEN-COVID Multicenter Study, Francesca Colombo, Francesca Chiaromonte, Alessandra Renieri, Simone Furini & Francesco Raimondi
Pubblicato in: Nature, Comm. Biology, Numero Vol 5, 2022, Pagina/e Article 1133, ISSN 2399-3642
Editore: Nature
DOI: 10.1038/s42003-022-04073-6

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

Autori: 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
Pubblicato in: Cell Genomics, Numero Vol 3, Numero 1, 2023, ISSN 2666-979X
Editore: Cell Press
DOI: 10.1101/2021.11.18.21266545

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

Autori: 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
Pubblicato in: Nature Medicine, Numero 27, 2021, Pagina/e 1876-1884, ISSN 1078-8956
Editore: Nature Publishing Group
DOI: 10.1038/s41591-021-01549-6

Multitask Balanced and Recalibrated Network for Medical Code Prediction

Autori: Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, Numero Vol 14, Numero 1, 2022, Pagina/e 1-20, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3563041

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

Autori: 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
Pubblicato in: Frontiers in Genetics, Numero 14, 2023, ISSN 1664-8021
Editore: Frontiers Media
DOI: 10.3389/fgene.2023.1098439

Polygenic scores in biomedical research

Autori: Iftikhar J. Kullo, Cathryn M. Lewis, Michael Inouye, Alicia R. Martin, Samuli Ripatti & Nilanjan Chatterjee
Pubblicato in: Nature Reviews Genetics, Numero 23, 2022, Pagina/e 524-532, ISSN 1471-0056
Editore: Nature Publishing Group
DOI: 10.1038/s41576-022-00470-z

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

Autori: 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
Pubblicato in: Cell Reports Methods, Numero Vol 2,issue 2, 2022, ISSN 0346-251X
Editore: Pergamon Press Ltd.
DOI: 10.1101/2021.04.19.440471

Genetic risk factors have a substantial impact on healthy life years

Autori: Aki Havulinna; Sakari Jukarainen; Nina Mars
Pubblicato in: Nature Medicine, Numero 27, 2021, Pagina/e 1876-1884, ISSN 1078-8956
Editore: 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

Autori: 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
Pubblicato in: Respiratory Research, Numero 24, 2023, Pagina/e article no 158, ISSN 1465-9921
Editore: BioMed Central
DOI: 10.1186/s12931-023-02458-7

Pathogen-sugar interactions revealed by universal saturation transfer analysis

Autori: 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
Pubblicato in: Science, Numero 377, 2022, ISSN 0065-7085
Editore: American Association for the Advancement of Science
DOI: 10.1126/science.abm3125

Informative Bayesian Neural Network Priors for Weak Signals

Autori: Tianyu Cui, Aki Havulinna, Pekka Marttinen, Samuel Kaski
Pubblicato in: Bayesian Anal., 2021, Pagina/e 1-31 (2021), ISSN 1936-0975
Editore: 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.

Autori: Yu Xu, Dragana Vuckovic, Scott C. Ritchie, ..., John Danesh, Nicole Soranzo, Michael Inouye
Pubblicato in: Cell Genomics, Numero Vol 2, Numero 1, 2022, ISSN 2666-979X
Editore: Cell Press
DOI: 10.1016/j.xgen.2021.100086

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

Autori: 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
Pubblicato in: HGG advances,, Numero vol. 3, no. 4, 2022, Pagina/e pp. 100133, ISSN 0346-251X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.xhgg.2022.100133

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

Autori: Fritzsche, M., Akyüz, K., Abadía, M.C., McLennan, S., Marttinen, P. Mayrhofer, M.T., and Buyx, A.M.
Pubblicato in: Frontiers in Genetics, Numero Vol 4, 2023, ISSN 1664-8021
Editore: Frontiers Media
DOI: 10.3389/fgene.2023.1098439

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

Autori: 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
Pubblicato in: Cell Genomics, Numero 2, Numero 4, 2022, ISSN 2666-979X
Editore: CellPress
DOI: 10.1038/s41467-022-29143-5

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

Autori: 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
Pubblicato in: Cell Genomics, Numero Apr 13; 2(4), 2023, ISSN 2666-979X
Editore: Cell Press
DOI: 10.1016/j.xgen.2022.100118

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

Autori: Remo Monti, Pia Rautenstrauch, Mahsa Ghanbari, Alva Rani James, Uwe Ohler, Stefan Konigorski, Christoph Lippert
Pubblicato in: Nature Communications, Numero Vol 13, article 5332, 2022, Pagina/e 1-16, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1101/2021.05.27.444972

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

Autori: Kristina Zguro, Chiara Fallerini, Francesca Fava, Simone Furini & Alessandra Renieri
Pubblicato in: EJHG, Numero Vol 30, 2022, Pagina/e 899-907, ISSN 1018-4813
Editore: Natue Publishing Group
DOI: 10.1038/s41431-022-01121-x

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

Autori: Ji, Shaoxiong; Gao, Ya; Marttinen, Pekka
Pubblicato in: Arxiv, Numero 6, 2023, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2301.10451

Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores

Autori: Ying Wang, Kristin Tsuo, Masahiro Kanai, Benjamin M. Neale, Alicia R. Martin
Pubblicato in: Annual Rev of Biomed. Data Science, Numero Vol 5, 2022, Pagina/e 293-320, ISSN 2574-3414
Editore: Annual Reviews
DOI: 10.1146/annurev-biodatasci-111721-074830

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

Autori: Natàlia Pujol-Gualdo, Kristi Läll, Maarja Lepamets, Estonian Biobank Research Team, Henna-Riikka Rossi, Riikka K. Arffman, Terhi T. Piltonen, Reedik Mäg, Triin Laisk
Pubblicato in: Nature Communications, Numero Vol 13, 2022, Pagina/e article: 3584, ISSN 2041-1723
Editore: 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

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

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

Autori: 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.
Pubblicato in: Nature Human Behaviour, Numero Vol 7, 2023, Pagina/e 1069-1083, ISSN 1476-4687
Editore: Nature
DOI: 10.1038/s41562-023-01591-z

COVID-19: a challenge and an opportunity

Autori: Alessandra Renieri
Pubblicato in: EJHG, Numero Vol 30, 2022, Pagina/e 870-871, ISSN 1018-4813
Editore: Natue Publishing Group
DOI: 10.1038/s41431-022-01142-6

The human genetic epidemiology of COVID-19

Autori: Mari Niemi, Mark Daly, Andrea Ganna
Pubblicato in: Nature Reviews: Genetics, Numero Vol 23, 2022, Pagina/e 533-546, ISSN 0028-0836
Editore: Nature Publishing Group
DOI: 10.1038/s41576-022-00478-5

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

Autori: 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
Pubblicato in: Cells, Numero 11(24), 2022, Pagina/e 4096, ISSN 2073-4409
Editore: MDPI
DOI: 10.3390/cells11244096

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

Autori: 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
Pubblicato in: AJHG, Numero Vol 109, Numero 10, 2022, Pagina/e 1727-1741, ISSN 0002-9297
Editore: 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

Autori: Max Tamlander, Nina Mars, Matti Pirinen, FinnGen, Elisabeth Widén & Samuli Ripatti
Pubblicato in: Comm. Biology, Numero Vol 5, 2022, Pagina/e 158, ISSN 2399-3642
Editore: Nature
DOI: 10.1038/s42003-021-02996-0

Reducing noisy annotations for depression estimation from facial images

Autori: Lang He, Prayag Tiwari, Chonghua Lv, WenShuai Wu, Liyong Guo
Pubblicato in: Neural Networks, Numero Vol 153, 2022, Pagina/e 120-129, ISSN 0893-6080
Editore: 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

Autori: 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
Pubblicato in: European Heart Journal, Numero 43, issue 18, 2022, Pagina/e 1715-1727, ISSN 0195-668X
Editore: Oxford University Press
DOI: 10.1093/eurheartj/ehac056

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

Autori: Pyry, Helkkula; Tuomo, Kiiskinen; Aki S, Havulinna; Juha, Karjalainen; Seppo, Koskinen; Veikko, Salomaa; Mark J, Daly; Aarno, Palotie; Ida, Surakka; Samuli, Ripatti
Pubblicato in: PLoS Genetics, Numero 11, 2021, ISSN 1553-7404
Editore: 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

Autori: Raj, V., Cui, T., Heinonen, M., and Marttinen, P.
Pubblicato in: The Proceedings of 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6741-6763. (AISTATS 2023), 2023, Pagina/e PMLR 206:6741-6763
Editore: PMLR

Contextualized graph embeddings for adverse drug event detection

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

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

Autori: 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
Pubblicato in: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022, Pagina/e 1-7
Editore: NeurIPS

Causal Modeling of Policy Interventions From Treatment–Outcome Sequences

Autori: Hizli, C., John, S.T., Juuti, A., Saarinen, T., Pietiläinen, K., and Marttinen, P.
Pubblicato in: The 40th International Conference on Machine Learning (ICML 2023), 2023
Editore: unkonwn

Deconfounded Representation Similarity for Comparison of Neural Networks

Autori: Cui, T., Kumar, Y., Marttinen, P., and Kaski, S.
Pubblicato in: 2022, ISBN 9781713871088
Editore: NeurIPS Proceedings

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

Autori: Ji, Shaoxiong; Marttinen, Pekka
Pubblicato in: The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)., Numero 1, 2023, Pagina/e 589-598
Editore: EACL
DOI: 10.48550/arxiv.2109.03062

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

Autori: Severi Rissanen, Pekka Marttinen
Pubblicato in: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
Editore: NeurIPS 2021

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

Autori: Wharrie, S., Yang, Z., Ganna, A., & Kaski, S.
Pubblicato in: Proceedings of Machine Learning Research, 2023
Editore: unknown

A Unified Review of Deep Learning for Automated Medical Coding

Autori: Ji, Shaoxiong; Sun, Wei; Li, Xiaobo; Dong, Hang; Taalas, Ara; Zhang, Yijia; Wu, Honghan; Pitkänen, Esa; Marttinen, Pekka
Pubblicato in: J of ACM, Numero Vol 37, no 4, article 111, 2022, ISSN 0004-5411
Editore: 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

Autori: 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
Pubblicato in: MedRxiv, 2023, ISSN 1476-4687
Editore: tbc
DOI: 10.1101/2023.06.12.23291186

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