Topic: population genetics
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population genetics

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In 2006, David Reich and colleagues analyzed 1,597 African-American men with prostate cancer and identified a genomic region with about 2.8% higher West African ancestry that contained at least seven independent prostate-cancer risk variants more common in West African populations, a finding that could explain higher prostate-cancer incidence in African-Americans compared with European-Americans.
January 01, 2006 high temporal
Admixture mapping in African-American populations can localize genomic regions where ancestry correlates with disease risk.
A. W. F. Edwards (2003) argued that analyses that consider only locus-by-locus variation can be misleading because they ignore correlation structure among multiple genetic loci, and that correlated allele-frequency patterns across loci can contain information enabling stable population classification.
January 01, 2003 high temporal
Conceptual critique emphasizing multivariate structure ('correlations among loci') as a source of classificatory information.
A 1972 analysis by R. C. Lewontin of 17 polymorphic loci across seven population groups reported that on average 85.4% of human genetic diversity is contained within populations, 8.3% among populations within races, and approximately 6.3% is attributable to racial classification.
January 01, 1972 high temporal
Lewontin's 1972 partitioning of genetic variance by locus-by-locus analysis across defined 'races'.
In 1972, geneticist Richard Lewontin published a study analyzing protein-type variation across human populations and reported that about 85% of genetic variation occurred within populations and 'races' and about 15% of variation occurred between them.
January 01, 1972 high temporal
Lewontin's 1972 partitioning of genetic variation is widely cited in discussions about the biological basis of race.
A 1963 analysis by L. L. Cavalli-Sforza and A. W. F. Edwards derived an evolutionary tree for 15 human populations using genetic data without prior assumptions about tree form, illustrating that multivariate correlations can recover population structure.
January 01, 1963 high temporal
Historical example demonstrating that tree-like population structure can be inferred from correlations in gene-frequency data.