Table 2.
Sample set coding frequencies, N (%)
| Variables coded | N = 170 (%) |
|---|---|
| Basic features | |
| Hypothesis | 169 (99.4%) |
| Limitations | 87 (52.4%) |
| Sample origin | 163 (95.9%) |
| Reason for using population | |
| Why populations | 112 (65.9%) |
| Why this population | 117 (68.8%) |
| Basis for assigning population label | 150 (88.2%) |
| Use of genotyping data to infer genetic ancestry | 88 (51.8%) |
| SNP genotypes or ancestry informative markers (AIMs) used to infer ancestry proportions of individual participants’ DNA samples | 20 (23.3%) |
| Genotype data used to assess the genetic homogeneity of population by principal components cluster analysis, Samples outlying from population clusters of interest excluded from further analysis | 36 (41.9%) |
| Text briefly states that potential population stratification was examined in the research populations, but no further details are provided | 32 (36.4%) |
| Defines generic ‘race and ethnicity’ or ‘ancestry’ | 0 (0%) |
| Defines specific population label/describes population group | 102 (60.0%) |
| Ways of using populations in research | |
| Label for study population only | 78 (45.9%) |
| Independent variable | 87 (51.2%) |
| Dependent variable | 1 (0.59%) |
| DNA with a label | 23 (13.5%) |
| Discusses social and ethical implications | 0 (0%) |