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Official Journal of the Human Genome Organisation

Table 4 Presence of coded article features by generic terminology used

From: The use of race, ethnicity and ancestry in human genetic research

Total sample set, N = 170

Race and ethnicity N = 80 (47.1%)

Ancestry N = 38 (22.4%)

Other N = 52 (30.6%)

P value by chi sq

Variables coded

Basic features

 Hypothesis

79 (98.8%)

38 (100%)

52 (100%)

0.568

 Limitations

43 (55.1%)

16 (45.7%)

28 (53.8%)

0.319

 Sample origin

75 (93.8%)

37 (97.4%)

51 (98.1%)

0.413

Reason for using population

 Why populations

60 (75.0%)

17 (44.7%)

36 (69.2%)

0.004*

 Why this population

55 (68.8%)

23 (60.5%)

38 (73.1%)

0.372

 Basis for assigning population label

71 (88.8%)

35 (92.1%)

44 (84.6%)

0.542

 Use of empirical genomic methods

44 (55.0%)

25 (65.8%)

19 (36.5%)

0.017*

 Defines generic ‘race and ethnicity’ or ‘ancestry’

0 (0%)

0 (0%)

0 (0%)

 

 Defines specific population label

51 (63.8%)

24 (63.2%)

27 (51.9%)

0.361

Ways of using populations in research

    

 Label for study population only

34 (43.0%)

21 (56.8%)

27 (51.9%)

0.352

 Independent variable

46 (58.2%)

17 (45.9%)

24 (46.2%)

0.296

 Dependent variable

0 (0%)

0 (0%)

1 (1.9%)

0.319

 DNA with a label

14 (17.5%)

3 (7.9%)

6 (11.5%)

0.319

General article field of interest

 Population genetics

10 (12.5%)

1 (2.6%)

15 (28.8%)

0.002*

 Medical

68 (85%)

32 (84.2%)

27 (51.9%)

<0.001*

 Methods

1 (1.3%)

2 (5.3%)

6 (11.5%)

0.036*

 Non-medical

1 (1.3%)

3 (7.9%)

4 (7.7%)

0.134

 P value by chi sq for terminology used within field of interest

<0.001*

<0.001*

<0.001*

 
  1. * Indicates statistically significant difference, P < 0.05