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{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/4502373","sourcedb":"PMC","sourceid":"4502373","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4502373","text":"Multibreed cohorts of contrasting stature\nThe contrasting cohorts of multiple breeds, within European (Table S1) and African (Table S2) breed types, were defined for analyses following the expectation that identification of plausible signatures of selection for stature would require a relatively stringent separation of breeds and sufficient sample sizes in each cohort. Therefore, a stringent strategy was adopted to construct two cohorts of contrasting phenotypes, i.e., the large and small stature cohorts (Figure S1). The individual breeds that have their median stature above the overall upper quartile and below the overall lower quartile were categorized into the large and the small cohorts, respectively. Moreover, the large cohort’s breeds (represented by several countries) are further restricted to have their individual lower quartiles above the overall median. Similarly, the small cohort’s breeds (represented by several countries) have their individual upper quartiles below the overall median. Separate analyses to identify signatures of selection were performed to compare the large and small cohorts of European and African breeds.\nPreviously, we have shown that cohort composition had minimal effect on the computation of composite selection tests when the breeds with small sample size (n \u003c 10 and n \u003c 20) were excluded (Randhawa et al. 2014). Further, in this study, we also assessed the effect of cohort composition comprising European breeds of cattle, specifically whether a few breeds with large sample size (n \u003e 20) can disproportionately affect the analyses. To this effect we performed additional analyses by limiting the sample size (n ≤ 10 and n ≤ 20) per breed. These results were compared to those from the original cohorts, where we included all available samples from each breed and the constituent and composite selection tests were computed by analyzing the European large and small cohorts against each other.","divisions":[{"label":"title","span":{"begin":0,"end":41}},{"label":"p","span":{"begin":42,"end":1151}}],"tracks":[{"project":"2_test","denotations":[{"id":"25931611-24636660-43349748","span":{"begin":1359,"end":1363},"obj":"24636660"}],"attributes":[{"subj":"25931611-24636660-43349748","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#ecb093","default":true}]}]}}