Genome-Wide Association Analyses Identify SPOCK as a Key Novel Gene Underlying Age at Menarche
Lactase persistence-related genetic variant: population substructure and health outcomes
Eye color and the prediction of complex phenotypes from genotypes
From genotypes to genometypes: putting the genome back in genome-wide association studies
Population genomics analysis of ALMS1 in humans reveals a surprisingly complex evolutionary history
Our data suggest that the interaction of human demographic history and positive selection on standing variation in Eurasian populations approximately 15 kya ago parsimoniously explains the spectrum of extant ALMS1 variation. These results provide new insights into the evolutionary history of ALMS1 in humans and suggest that selective events identified in genome-wide scans may be more complex than currently appreciated.
A genome-wide comparison of population structure at STRPs and nearby SNPs in humans
Collectively, these results confirm that individual STRPs can provide more information about population structure than individual SNPs, but suggest that the difference in structure at STRPs and SNPs depends on local genealogical history. Our study motivates theoretical comparisons of population structure at loci with different mutational properties.
Skin Blood Perfusion and Oxygenation Colour Affect Perceived Human Health
Genome-Wide Association Study of Tanning Phenotype in a Population of European Ancestry.
Human olfaction: from genomic variation to phenotypic diversity
FOXP2 as a molecular window into speech and language
Multiple Imputation to Correct for Measurement Error in Admixture Estimates in Genetic Structured Association Testing
Frequencies of spinocerebellar ataxia subtypes in Thailand: window to the population history?
Our results also supported some degree of admixture with the Indians in the Thai population and justify further study in the area
Hybridization rapidly reduces fitness of a native trout in the wild
A Novel Parallel Approach to the Likelihood-based Estimation of Admixture in Population Genetics
Inferring population admixture from genetic data and quantifying it is a difficult but crucial task in evolutionary and conservation biology. Unfortunately state-of-the-art probabilistic approaches are computationally demanding. Effectively exploiting the computational power of modern multiprocessor systems can thus have a positive impact to Monte-Carlo-based simulation of admixture modeling. A novel parallel approach is briefly described and promising results on its MPI-based C++ implementation are reported. AVAILABILITY: The software package ParLEA is freely available at http://dm.unife.it/parlea.
Darwinian and demographic forces affecting human protein coding genes
Coalescent simulations of Yakut mtDNA variation suggest small founding population
The biologistical construction of race: 'admixture' technology and the new genetic medicine