Statistical tests for detecting positive selection by utilizing high-frequency variants

Genetics

Volumn 174, Issue 3, 2006, Pages 1431-1439

  Zeng, Kai ^a,b,e   Fu, Yun Xin ^c,d   Shi, Suhua ^a   Wu, Chung I ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^d YUNNAN UNIVERSITY   (China)

^e NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DNA POLYMORPHISM; GENE FREQUENCY; GENE MUTATION; GENETIC ANALYSIS; GENETIC VARIABILITY; HAPLOTYPE; MATHEMATICAL GENETICS; POPULATION GROWTH; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

ANIMALS; COMPUTER SIMULATION; MODELS, GENETIC; MODELS, STATISTICAL; MUTATION; POLYMORPHISM, GENETIC; SELECTION (GENETICS); SENSITIVITY AND SPECIFICITY; VARIATION (GENETICS);

EID: 33751342650     PISSN: 00166731     EISSN: 00166731     Source Type: Journal    
DOI: 10.1534/genetics.106.061432     Document Type: Article

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