Liang He
Liang He
Dirección de correo verificada de duke.edu
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Rare and low-frequency coding variants alter human adult height
E Marouli, M Graff, C Medina-Gomez, KS Lo, AR Wood, TR Kjaer, RS Fine, ...
Nature 542 (7640), 186-190, 2017
3592017
Single-cell transcriptomic analysis of Alzheimer’s disease
H Mathys, J Davila-Velderrain, Z Peng, F Gao, S Mohammadi, JZ Young, ...
Nature 570 (7761), 332-337, 2019
2752019
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
V Turcot, Y Lu, HM Highland, C Schurmann, AE Justice, RS Fine, ...
Nature genetics 50 (1), 26-41, 2018
1362018
Genome-wide association study on detailed profiles of smoking behavior and nicotine dependence in a twin sample
A Loukola, J Wedenoja, K Keskitalo-Vuokko, U Broms, T Korhonen, ...
Molecular psychiatry 19 (5), 615-624, 2014
522014
High-resolution genome-wide functional dissection of transcriptional regulatory regions and nucleotides in human
X Wang, L He, SM Goggin, A Saadat, L Wang, N Sinnott-Armstrong, ...
Nature communications 9 (1), 1-15, 2018
442018
The durations of past sickness absences predict future absence episodes
M Laaksonen, L He, J Pitkäniemi
Journal of occupational and environmental medicine 55 (1), 87-92, 2013
372013
Pleiotropic meta-analyses of longitudinal studies discover novel genetic variants associated with age-related diseases
L He, Y Kernogitski, I Kulminskaya, Y Loika, KG Arbeev, E Loiko, ...
Frontiers in genetics 7, 179, 2016
262016
Impact of classical risk factors of type 2 diabetes among Asian Indian, Chinese and Japanese populations
L He, J Tuomilehto, Q Qiao, S Söderberg, M Daimon, J Chambers, ...
Diabetes & metabolism 41 (5), 401-409, 2015
192015
Pleiotropic associations of allelic variants in a 2q22 region with risks of major human diseases and mortality
AM Kulminski, L He, I Culminskaya, Y Loika, Y Kernogitski, KG Arbeev, ...
PLoS genetics 12 (11), e1006314, 2016
182016
Specific probiotics and virological findings in symptomatic conscripts attending military service in Finland
L Lehtoranta, K Kalima, L He, M Lappalainen, M Roivainen, M Närkiö, ...
Journal of Clinical Virology 60 (3), 276-281, 2014
182014
Apolipoprotein E region molecular signatures of Alzheimer's disease
AM Kulminski, J Huang, J Wang, L He, Y Loika, I Culminskaya
Aging cell 17 (4), e12779, 2018
132018
Genome‐wide time‐to‐event analysis on smoking progression stages in a family‐based study
L He, J Pitkäniemi, K Heikkilä, YL Chou, PAF Madden, T Korhonen, ...
Brain and behavior 6 (5), e00462, 2016
132016
Causal effects of cardiovascular risk factors on onset of major age-related diseases: a time-to-event Mendelian randomization study
L He, I Culminskaya, Y Loika, KG Arbeev, O Bagley, M Duan, AI Yashin, ...
Experimental gerontology 107, 74-86, 2018
122018
Estimating modifying effect of age on genetic and environmental variance components in twin models
L He, MJ Sillanpää, K Silventoinen, J Kaprio, J Pitkäniemi
Genetics 202 (4), 1313-1328, 2016
112016
Hierarchical Bayesian model for rare variant association analysis integrating genotype uncertainty in human sequence data
L He, J Pitkäniemi, AP Sarin, V Salomaa, MJ Sillanpää, S Ripatti
Genetic epidemiology 39 (2), 89-100, 2015
102015
Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci
JM Mudge, I Jungreis, T Hunt, JM Gonzalez, JC Wright, M Kay, ...
Genome research 29 (12), 2073-2087, 2019
92019
Probiotics and respiratory and gastrointestinal tract infections in Finnish military conscripts–a randomised placebo-controlled double-blinded study
K Kalima, L Lehtoranta, L He, J Pitkäniemi, R Lundell, I Julkunen, ...
Beneficial microbes 7 (4), 463-471, 2016
72016
A Bayesian approach to mediation analysis predicts 206 causal target genes in Alzheimer’s disease
Y Park, AK Sarkar, L He, J Davila-Velderrain, PL De Jager, M Kellis
bioRxiv, 219428, 2017
62017
Neuregulin signaling pathway in smoking behavior
R Gupta, B Qaiser, L He, TS Hiekkalinna, AB Zheutlin, S Therman, ...
Translational psychiatry 7 (8), e1212-e1212, 2017
42017
Fast Algorithms for Conducting Large-Scale GWAS of Age-at-Onset Traits Using Cox Mixed-Effects Models
L He, AM Kulminski
Genetics 215 (1), 41-58, 2020
3*2020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20