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This knowledge portal provides a platform for accelerating genetic discoveries in the human brain.

This portal is under active construction. We aim to cover the full spectrum of structural and functional traits from different imaging modalities.

News: we have a newly-built twin website that covers imaging traits for the heart

We have consistently analyzed genetics and neuroimaging data of more than 55,000 subjects from




Publications (2018+)

Common variants contribute to intrinsic human brain function networks (2022). Nature Genetics. LINK

Heart-brain connections: phenotypic and genetic insights from 40,000 cardiac and brain magnetic resonance images (2021). medRxiv, 21265779. LINK

Genetic influences on the intrinsic and extrinsic functional organizations of the cerebral cortex (2021). medRxiv, 21261187. LINK

Common genetic variation influencing human white matter microstructure (2021). Science, 372-6548. LINK

Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits (2021). Nature Communications, 842872. LINK

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits (2019). Nature Genetics51(11), 1637-1644. LINK

Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n= 17,706) (2019). Molecular Psychiatry, in press. LINK

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies (2018). Cerebral Cortex29(7), 2904-2914. LINK


We make our research results publicly available by building the following resources.

If you are interested in other summary-level data from our analyses or have any questions or comments, feel free to contact Bingxin Zhao ( or Hongtu Zhu (

1. Imaging Genetics Online Server

We build a GWAS browser using the PheWeb tool to explore GWAS results for massive functional, structural, and diffusion neuroimaging traits. Currently, we support GWAS results of 1593 traits trained in the UKB British cohort (n~34,000), including

  1. 635 ENIGMA-DTI parameters of brain white matter (diffusion MRI)
  2. 101 ANTS regional brain volumes (structural MRI)
  3. 191 ICA-based functional MRI traits (rs-fMRI(ICA))
  4. 309 parcellation-based functional MRI (rs-fMRI(Glasser360))
  5. 82 Heart imaging traits (CMR) (More info visit our LINK )

2. GWAS Summary Statistics Data Download

The GWAS summary statistics for 101 ANTS brain ROI volumes, 635 ENIGMA-DTI parameters, 191 ICA-based amplitude (75) and functional connectivity traits (116), 309 parcellation-based functional MRI traits, and 82 Heart imaging traits have been made available for download. Download the data HERE.


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