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Futao Zhang
Futao Zhang
Clinical Bioinformatician
Verified email at health.nsw.gov.au
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Cited by
Year
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
NR Wray, S Ripke, M Mattheisen, M Trzaskowski, EM Byrne, A Abdellaoui, ...
Nature genetics 50 (5), 668-681, 2018
24882018
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Z Zhu, F Zhang, H Hu, A Bakshi, MR Robinson, JE Powell, ...
Nature genetics 48 (5), 481-487, 2016
18862016
Causal associations between risk factors and common diseases inferred from GWAS summary data
Z Zhu, Z Zheng, F Zhang, Y Wu, M Trzaskowski, R Maier, MR Robinson, ...
Nature communications 9 (1), 1-12, 2018
7822018
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
U Võsa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ...
Nature genetics 53 (9), 1300-1310, 2021
7022021
Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
A Xue, Y Wu, Z Zhu, F Zhang, KE Kemper, Z Zheng, L Yengo, ...
Nature communications 9 (1), 2941, 2018
6832018
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences
R Karlsson Linnér, P Biroli, E Kong, SFW Meddens, R Wedow, ...
Nature genetics 51 (2), 245-257, 2019
5952019
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
T Qi, Y Wu, J Zeng, F Zhang, A Xue, L Jiang, Z Zhu, K Kemper, L Yengo, ...
Nature communications 9 (1), 2282, 2018
3172018
Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism
Y Sapkota, V Steinthorsdottir, AP Morris, A Fassbender, N Rahmioglu, ...
Nature communications 8 (1), 15539, 2017
2832017
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Y Wu, J Zeng, F Zhang, Z Zhu, T Qi, Z Zheng, LR Lloyd-Jones, RE Marioni, ...
Nature communications 9 (1), 918, 2018
2672018
Genetic association of major depression with atypical features and obesity-related immunometabolic dysregulations
Y Milaneschi, F Lamers, WJ Peyrot, BT Baune, G Breen, A Dehghan, ...
JAMA psychiatry 74 (12), 1214-1225, 2017
1792017
Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank
H Wang, F Zhang, J Zeng, Y Wu, KE Kemper, A Xue, M Zhang, JE Powell, ...
Science advances 5 (8), eaaw3538, 2019
1562019
OSCA: a tool for omic-data-based complex trait analysis
F Zhang, W Chen, Z Zhu, Q Zhang, MF Nabais, T Qi, IJ Deary, NR Wray, ...
Genome biology 20 (1), 1-13, 2019
1232019
Analysis of DNA methylation associates the cystine–glutamate antiporter SLC7A11 with risk of Parkinson’s disease
CL Vallerga, F Zhang, J Fowdar, AF McRae, T Qi, MF Nabais, Q Zhang, ...
Nature communications 11 (1), 1238, 2020
1052020
An epigenome-wide association study of sex-specific chronological ageing
DL McCartney, F Zhang, RF Hillary, Q Zhang, AJ Stevenson, RM Walker, ...
Genome medicine 12, 1-11, 2020
582020
Genetic control of RNA splicing and its distinct role in complex trait variation
T Qi, Y Wu, H Fang, F Zhang, S Liu, J Zeng, J Yang
Nature Genetics 54 (9), 1355-1363, 2022
562022
Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders
MF Nabais, SM Laws, T Lin, CL Vallerga, NJ Armstrong, IP Blair, JB Kwok, ...
Genome Biology 22 (1), 1-30, 2021
502021
Mixed linear model approaches of association mapping for complex traits based on omics variants
FT Zhang, ZH Zhu, XR Tong, ZX Zhu, T Qi, J Zhu
Scientific reports 5 (1), 10298, 2015
462015
Epistasis analysis for quantitative traits by functional regression model
F Zhang, E Boerwinkle, M Xiong
Genome research 24 (6), 989-998, 2014
362014
FastGCN: a GPU accelerated tool for fast gene co-expression networks
M Liang, F Zhang, G Jin, J Zhu
PloS one 10 (1), e0116776, 2015
352015
Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
MF Nabais, T Lin, B Benyamin, KL Williams, FC Garton, AAE Vinkhuyzen, ...
NPJ genomic medicine 5 (1), 10, 2020
252020
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