A general method for controlling the genome-wide type i error rate in linkage and association mapping experiments in plants

Heredity

Volumn 106, Issue 5, 2011, Pages 825-831

  Muller B U ^a   Stich, B ^b   Piepho, H P ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b MAX PLANCK INSTITUTE FOR PLANT BREEDING RESEARCH   (Germany)

Author keywords

association mapping; genome wide type I error rate; linkage mapping; mixed model; Monte Carlo simulation; parametric bootstrap

Indexed keywords

BOOTSTRAPPING; CONSERVATION MANAGEMENT; CORRELATION; DATA SET; ERROR ANALYSIS; EXPERIMENTAL STUDY; GENETIC ANALYSIS; GENOME; MAPPING METHOD; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PLANT; POPULATION STRUCTURE;

ARTICLE; CHROMOSOME MAP; COMPUTER SIMULATION; GENETIC ASSOCIATION; GENETICS; LABORATORY DIAGNOSIS; METHODOLOGY; MONTE CARLO METHOD; PLANT; PLANT GENOME; POPULATION GENETICS; STATISTICAL MODEL;

CHROMOSOME MAPPING; COMPUTER SIMULATION; FALSE POSITIVE REACTIONS; GENETICS, POPULATION; GENOME, PLANT; GENOME-WIDE ASSOCIATION STUDY; MODELS, STATISTICAL; MONTE CARLO METHOD; PLANTS;

EID: 79955095148     PISSN: 0018067X     EISSN: 13652540     Source Type: Journal    
DOI: 10.1038/hdy.2010.125     Document Type: Article

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