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We did not find any other study that compared a clinical sample with population groups differentiated according to perceived weight.
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In this study we compared the HapMap samples with population samples ascertained according to more standard sampling protocols, using both autosomal and Y-chromosomal datasets.
A stratified multistage cluster sampling with population proportion to size was used.
Caregivers were selected using cluster-based sampling, with population proportional to size weighting, a standard methodology in populations where population data is either limited or inaccurate [ 52].
Furthermore, statistical comparison of the Galgedil population sample with the population samples from Kongemarken, Skovgaarde and Bøgebjergård showed that the distribution of haplotypes does not deviate significantly (KST = 0 and P = 0.561, 0.373 and 0,624, respectively [33]).
Other methods try to estimate the mutation rates indirectly; for example, Zhivotovsky et al., 2004, use the diversity of Y-STRs in modern-day population samples with documented population founding or population splitting events in the last 1000 years (Gypsies and Pacific Islanders).
Domain 1 correlated sample characteristics with population wide characteristics, and Domain 2 focused on study design.
4 In a comparison of the survey sample with the population of all establishments in Germany, Bossler et al. (2017) do not detect any meaningful selectivity in the survey response.
A further limitation is that we could not compare our sample with the population data on age and socioeconomic status because these were not available.
Only when comparing the sample with the population we set alpha to 0.25 in order to minimize the beta error [ 27].
GeneChip expression arrays were used to compare the population of ulcerative IC patients (five ni samples) with the population of healthy controls (six control samples).
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