User profiles for Futao Zhang

Futao Zhang

Clinical Bioinformatician
Verified email at health.nsw.gov.au
Cited by 9989

Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

…, E Porcu, J Kronberg, J Kettunen, B Lee, F Zhang… - Nature …, 2021 - nature.com
Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms
on the transcriptome. To investigate the genetics of gene expression, we performed cis…

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

Z Zhu, F Zhang, H Hu, A Bakshi, MR Robinson… - Nature …, 2016 - nature.com
Genome-wide association studies (GWAS) have identified thousands of genetic variants
associated with human complex traits. However, the genes or functional DNA elements through …

[HTML][HTML] Causal associations between risk factors and common diseases inferred from GWAS summary data

Z Zhu, Z Zheng, F Zhang, Y Wu, M Trzaskowski… - Nature …, 2018 - nature.com
Health risk factors such as body mass index (BMI) and serum cholesterol are associated
with many common diseases. It often remains unclear whether the risk factors are cause or …

[HTML][HTML] 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… - Nature …, 2018 - nature.com
Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a meta-analysis
of genome-wide association studies (GWAS) with ~16 million genetic variants in 62,892 …

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

…, FJ Rooij, E Taskesen, Y Wu, F Zhang… - Nature …, 2019 - nature.com
Humans vary substantially in their willingness to take risks. In a combined sample of over 1
million individuals, we conducted genome-wide association studies (GWAS) of general risk …

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

…, J Kettunen, J Powell, B Lee, F Zhang… - BioRxiv, 2018 - biorxiv.org
While many disease-associated variants have been identified through genome-wide association
studies, their downstream molecular consequences remain unclear. To identify these …

[HTML][HTML] OSCA: a tool for omic-data-based complex trait analysis

F Zhang, W Chen, Z Zhu, Q Zhang, MF Nabais, T Qi… - Genome biology, 2019 - Springer
The rapid increase of omic data has greatly facilitated the investigation of associations between
omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts. Here…

[HTML][HTML] 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, 2022 - nature.com
Most genetic variants identified from genome-wide association studies (GWAS) in humans
are noncoding, indicating their role in gene regulation. Previous studies have shown …

[HTML][HTML] 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… - Nature …, 2018 - nature.com
Understanding the difference in genetic regulation of gene expression between brain and
blood is important for discovering genes for brain-related traits and disorders. Here, we …

[HTML][HTML] Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism

…, N Rahmioglu, I De Vivo, JE Buring, F Zhang… - Nature …, 2017 - nature.com
Endometriosis is a heritable hormone-dependent gynecological disorder, associated with
severe pelvic pain and reduced fertility; however, its molecular mechanisms remain largely …