Official Journal of the Human Genome Organisation
Table 2 Sample set coding frequencies, N (%)
From: The use of race, ethnicity and ancestry in human genetic research
Variables coded | NÂ =Â 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%) |