Estimating the ages of selection signals from different epochs in human history

Molecular Biology and Evolution

Volumn 33, Issue 3, 2016, Pages 657-669

  Nakagome, Shigeki ^a   Alkorta Aranburu, Gorka ^a   Amato, Roberto ^b   Howie, Bryan ^a   Peter, Benjamin M ^a   Hudson, Richard R ^a   Di Rienzo, Anna ^a  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

approximate Bayesian computation; autoimmune disease; onset of selection; selective pressures

Indexed keywords

DNA;

AGE DETERMINATION; ALLELE; ARTICLE; BAYES THEOREM; EVOLUTION; GENE FREQUENCY; GENE MUTATION; GENE SEQUENCE; GENETIC RISK; GENETIC VARIATION; GENOTYPE; HAPLOTYPE; HAPLOTYPE MAP; HOMOZYGOSITY; HUMAN; MAXIMUM LIKELIHOOD METHOD; PHENOTYPE; POPULATION GENETICS; PROBABILITY; SELECTIVE SWEEP; SINGLE NUCLEOTIDE POLYMORPHISM; SKIN PIGMENTATION; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; DNA SEQUENCE; GENETIC SELECTION; MOLECULAR EVOLUTION; PROCEDURES;

ALLELES; BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EVOLUTION, MOLECULAR; GENE FREQUENCY; GENETIC VARIATION; GENETICS, POPULATION; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; SELECTION, GENETIC; SEQUENCE ANALYSIS, DNA;

EID: 84964460562     PISSN: 07374038     EISSN: 15371719     Source Type: Journal    
DOI: 10.1093/molbev/msv256     Document Type: Article

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