Document Detail

A method for estimating the effective number of loci affecting a quantitative character.
MedLine Citation:
PMID:  23973416     Owner:  NLM     Status:  MEDLINE    
A likelihood method is introduced that jointly estimates the number of loci and the additive effect of alleles that account for the genetic variance of a normally distributed quantitative character in a randomly mating population. The method assumes that measurements of the character are available from one or both parents and an arbitrary number of full siblings. The method uses the fact, first recognized by Karl Pearson in 1904, that the variance of a character among offspring depends on both the parental phenotypes and on the number of loci. Simulations show that the method performs well provided that data from a sufficient number of families (on the order of thousands) are available. This method assumes that the loci are in Hardy-Weinberg and linkage equilibrium but does not assume anything about the linkage relationships. It performs equally well if all loci are on the same non-recombining chromosome provided they are in linkage equilibrium. The method can be adapted to take account of loci already identified as being associated with the character of interest. In that case, the method estimates the number of loci not already known to affect the character. The method applied to measurements of crown-rump length in 281 family trios in a captive colony of African green monkeys (Chlorocebus aethiopus sabaeus) estimates the number of loci to be 112 and the additive effect to be 0.26 cm. A parametric bootstrap analysis shows that a rough confidence interval has a lower bound of 14 loci.
Montgomery Slatkin
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2013-08-22
Journal Detail:
Title:  Theoretical population biology     Volume:  89     ISSN:  1096-0325     ISO Abbreviation:  Theor Popul Biol     Publication Date:  2013 Nov 
Date Detail:
Created Date:  2013-10-14     Completed Date:  2014-05-19     Revised Date:  2014-11-04    
Medline Journal Info:
Nlm Unique ID:  0256422     Medline TA:  Theor Popul Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  44-54     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Inc. All rights reserved.
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MeSH Terms
Likelihood Functions
Models, Theoretical
Quantitative Trait Loci*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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