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