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Kristi Läll
Kristi Läll
Researcher in statistical genetics, University of Tartu
在 ut.ee 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
15922018
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
7402021
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
4202018
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
3952021
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
3082022
SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
European heart journal 42 (25), 2439-2454, 2021
2692021
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
2352022
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
2002022
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
1782017
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
912020
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
912016
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
792017
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
572022
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
552022
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
542023
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
522022
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
512019
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
512019
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
442020
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
312020
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