Table 1 Comparisons of major neuroimaging genetics cohorts (N > 2000 with both genetic and neuroimaging data).

From: CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research

Project name

Number of subjects

Ethnic populations

Age range (year)

Diagnosis

Prominent features

Assessments of data qualitya

CHIMGEN

N > 7000

Chinese Han only

18–30

Healthy

The largest prospective neuroimaging genetics cohort of Chinese Han adults with lifespan natural and socioeconomic environmental measurements obtained from remote sensing and national survey databases

Brain imaging data (+++): 3 modalities for all subjects; 2 for 2/3 subjects

Genetic data (++++): genomic data

Environment data (++++): more than a hundred of quantitative measures

Behavioral data (++++): dozens of measures

UK Biobank

N > 30,000

Most Caucasian

40–69 at baseline

Mixed

The largest prospective longitudinal imaging genetics cohort of adults in the world

Brain imaging (++++): 5 imaging modalities for most subjects

Genetic data (++++): genomic data

Environment data (++): dozens of measures

Behavioral data (++++): dozens of measures

ENIGMA

N > 50,000

Most Caucasian

3.3–91

Mixed

The largest imaging genetics pooling dataset included more than 50 currently available datasets with both imaging and genetic data

Brain imaging (++): only structural imaging for all subjects

Genetic data (++++): genomic data

Environment data (−): no measure

Behavioral data (++): no measure but with diagnostic information

ABCD

N = 11,875

Most American African and Caucasian

9–10 at baseline

Relatively healthy

The largest prospective longitudinal imaging genetics cohort of children to explore adolescent brain development

Brain imaging (++++): 4 modalities for most subjects

Genetic data (++++): genomic data

Environment data (++): dozens of measures

Behavioral data (++++): dozens of measures

IMAGEN

N = 2000

Most Caucasian

14–22

Relatively healthy

The first prospective longitudinal imaging genetics cohort of adolescence to investigate the risk for mental disorders

Brain imaging (++++): 4 modalities for most subjects

Genetic data (++++): genomic data

Environment data (++): dozens of measures

Behavioral data (++++): dozens of measures

ADNI

N > 2000

Most Caucasian

55–90

AD, MCI and normal controls

The largest prospective longitudinal imaging genetics cohort of elderly people to define the progression of AD

Brain imaging (+++): 5 modalities but not collected from all subjects

Genetic data (++++): genomic data

Environment data (+): a few measures

Behavioral data (++++):dozens of measures

  1. ABCD Adolescent Brain Cognitive Development, AD Alzheimer’s disease, ADNI Alzheimer's Disease Neuroimaging Initiative, CHIMGEN Chinese Imaging Genetics, ENIGMA Enhancing Neuro Imaging Genetics Through Meta-Analysis, IMAGEN imaging genetics, MCI mild cognitive impairment
  2. aNotes: The seven major imaging modalities included structural imaging, susceptibility weighted imaging (SWI), diffusion tensor imaging (DTI), artery spin labeling (ASL), task fMRI, resting-state fMRI, and positron emission tomography (PET). For each kind of data, the number of +signs indicates the subjective data availability, which includes two factors: the richness of the variables and the number of participants with data on these variables