Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps A Mahajan, D Taliun, M Thurner, NR Robertson, JM Torres, NW Rayner, ... Nature genetics 50 (11), 1505-1513, 2018 | 1592 | 2018 |
Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021 | 740 | 2021 |
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes A Mahajan, J Wessel, SM Willems, W Zhao, NR Robertson, AY Chu, ... Nature genetics 50 (4), 559-571, 2018 | 420 | 2018 |
The trans-ancestral genomic architecture of glycemic traits J Chen, CN Spracklen, G Marenne, A Varshney, LJ Corbin, J Luan, ... Nature genetics 53 (6), 840-860, 2021 | 395 | 2021 |
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ... Nature genetics 54 (5), 560-572, 2022 | 308 | 2022 |
SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe European heart journal 42 (25), 2439-2454, 2021 | 269 | 2021 |
Whole-genome sequencing reveals host factors underlying critical COVID-19 A Kousathanas, E Pairo-Castineira, K Rawlik, A Stuckey, CA Odhams, ... Nature 607 (7917), 97-103, 2022 | 235 | 2022 |
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease W Zhou, M Kanai, KHH Wu, H Rasheed, K Tsuo, JB Hirbo, Y Wang, ... Cell Genomics 2 (10), 2022 | 200 | 2022 |
Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores K Läll, R Mägi, A Morris, A Metspalu, K Fischer Genetics in Medicine 19 (3), 322-329, 2017 | 178 | 2017 |
Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals D Marnetto, K Pärna, K Läll, L Molinaro, F Montinaro, T Haller, M Metspalu, ... Nature communications 11 (1), 1628, 2020 | 91 | 2020 |
Genetic variants linked to education predict longevity RE Marioni, SJ Ritchie, PK Joshi, SP Hagenaars, A Okbay, K Fischer, ... Proceedings of the National Academy of Sciences 113 (47), 13366-13371, 2016 | 91 | 2016 |
Comparing distributions of polygenic risk scores of type 2 diabetes and coronary heart disease within different populations S Reisberg, T Iljasenko, K Läll, K Fischer, J Vilo PloS one 12 (7), e0179238, 2017 | 79 | 2017 |
Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm SHJ Hageman, AJ McKay, P Ueda, LH Gunn, T Jernberg, E Hagström, ... European Heart Journal 43 (18), 1715-1727, 2022 | 57 | 2022 |
Genome-wide risk prediction of common diseases across ancestries in one million people N Mars, S Kerminen, YCA Feng, M Kanai, K Läll, LF Thomas, AH Skogholt, ... Cell Genomics 2 (4), 2022 | 55 | 2022 |
Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts Y Wang, S Namba, E Lopera, S Kerminen, K Tsuo, K Läll, M Kanai, ... Cell Genomics 3 (1), 2023 | 54 | 2023 |
Meta-analysis fine-mapping is often miscalibrated at single-variant resolution M Kanai, R Elzur, W Zhou, KHH Wu, H Rasheed, K Tsuo, JB Hirbo, ... Cell Genomics 2 (12), 2022 | 52 | 2022 |
Polygenic prediction of breast cancer: comparison of genetic predictors and implications for risk stratification K Läll, M Lepamets, M Palover, T Esko, A Metspalu, N Tõnisson, P Padrik, ... BMC cancer 19, 1-9, 2019 | 51 | 2019 |
Recall by genotype and cascade screening for familial hypercholesterolemia in a population-based biobank from Estonia M Alver, M Palover, A Saar, K Läll, SM Zekavat, N Tõnisson, L Leitsalu, ... Genetics in Medicine 21 (5), 1173-1180, 2019 | 51 | 2019 |
Population bias in polygenic risk prediction models for coronary artery disease D Gola, J Erdmann, K Läll, R Mägi, B Müller-Myhsok, H Schunkert, ... Circulation: Genomic and Precision Medicine 13 (6), e002932, 2020 | 44 | 2020 |
Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ... MedRxiv, 2020.09. 22.20198937, 2020 | 31 | 2020 |