Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1976-9-25
pubmed:abstractText
A set of 12 anthropometric measures and six genetic traits, available for 520 Yanomama Indians from 19 villages in nine clusters, were used to allocate individuals to villages. On the basis of anthropometrics alone, 36% of the individuals were allocated to the right village and 60% to the right cluster. On the basis of genetic traits alone, 16% were allocated to the right village and 26% to the right cluster. A combination of all 18 characters yielded 41% allocation to the right village and 63% to the right cluster. Of the 924 possible combinations of six anthropometric measures, only one provided poorer resolution than did the six genetic traits. We explain the better resolution of the anthropometric traits by noting that the anthropometric traits are not totally heritable and that genetic traits are not continuously distributed. Randomization studies indicated that all of the observed correct-allocation fractions are far in excess of random expectation. We infer that the village phenotype distributions overlap only partially, and that they represent real and substantial population differentiation.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-1115226, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-4467781, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-4652875, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-4741844, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-4820848, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-4841634, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-5031980, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-50736, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-5082928, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-5120563, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-5473413, http://linkedlifedata.com/resource/pubmed/commentcorrection/821344-6080201
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0002-9297
pubmed:author
pubmed:issnType
Print
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
317-31
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1976
pubmed:articleTitle
Multivariate classification of human populations. I. Allocation of Yanomama indians to villages.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.