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Nurlan Kerimov
Nurlan Kerimov
University of Tartu, Institute of Computer Science
在 ut.ee 的电子邮件经过验证 - 首页
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引用次数
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FinnGen: Unique genetic insights from combining isolated population and national health register data
MI Kurki, J Karjalainen, P Palta, TP Sipilä, K Kristiansson, K Donner, ...
MedRxiv, 2022.03. 03.22271360, 2022
2302022
FinnGen provides genetic insights from a well-phenotyped isolated population
MI Kurki, J Karjalainen, P Palta, TP Sipilä, K Kristiansson, KM Donner, ...
Nature 613 (7944), 508-518, 2023
1602023
A compendium of uniformly processed human gene expression and splicing quantitative trait loci
N Kerimov, JD Hayhurst, K Peikova, JR Manning, P Walter, L Kolberg, ...
Nature genetics 53 (9), 1290-1299, 2021
1412021
eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs
N Kerimov, JD Hayhurst, K Peikova, JR Manning, P Walter, L Kolberg, ...
BioRxiv, 2020.01. 29.924266, 2020
582020
Insights from complex trait fine-mapping across diverse populations
M Kanai, JC Ulirsch, J Karjalainen, M Kurki, KJ Karczewski, E Fauman, ...
medRxiv, 2021.09. 03.21262975, 2021
322021
Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants
L Kolberg, N Kerimov, H Peterson, K Alasoo
Elife 9, e58705, 2020
272020
eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs. 2020; bioRxiv doi: 29 January 2020, preprint: not peer reviewedhttps
N Kerimov, JD Hayhurst, JR Manning, P Walter, L Kolberg, K Peikova, ...
doi. org/10.1101/2020.01 29, 0
5
eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs
N Kerimov, R Tambets, JD Hayhurst, I Rahu, P Kolberg, U Raudvere, ...
PLoS genetics 19 (9), e1010932, 2023
2023
Metabolomic and genomic prediction of common diseases in 477,706 participants in three national biobanks
Nightingale Health Biobank Collaborative Group, JC Barrett, T Esko, ...
medRxiv, 2023.06. 09.23291213, 2023
2023
Systematic visualisation of molecular QTLs reveals variant mechanisms at GWAS loci
N Kerimov, R Tambets, JD Hayhurst, I Rahu, P Kolberg, U Raudvere, ...
bioRxiv, 2023.04. 06.535816, 2023
2023
Designing a robust and portable workflow for detecting genetic variants associated with molecular phenotypes across multiple studies
N Kerimov
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