Document Detail


Comparing the van Oosterhout and Chybicki-Burczyk methods of estimating null allele frequencies for inbred populations.
MedLine Citation:
PMID:  23227485     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
In spite of the usefulness of codominant markers in population genetics, the existence of null alleles raises challenging estimation issues in natural populations that are characterized by positive inbreeding coefficients (F > 0). Disregarding the possibility of F > 0 in a population will generally lead to overestimates of null allele frequencies. Conversely, estimates of inbreeding coefficients (F) may be strongly biased upwards (excess homozygotes), in the presence of nontrivial frequencies of null alleles. An algorithm has been presented for the estimation of null allele frequencies in inbred populations (van Oosterhout method), using external estimates of the F-statistics. The goal of this study is to introduce a modification of this method and to provide a formal comparison with an alternative likelihood-based method (Chybicki-Burczyk). Using simulated data, we illustrate the strengths and limitations of these competing methods. Under most circumstances, the likelihood method is preferable, but for highly inbred organisms, a modified van Oosterhout method offers some advantages.
Authors:
P Campagne; P E Smouse; G Varouchas; J-F Silvain; B Leru
Related Documents :
23652425 - Pygenclean: efficient tool for genetic data clean up before association testing.
23317065 - A recursive method for computing expected kinship and inbreeding in complex and dynamic...
23909925 - A decision-theory approach to interpretable set analysis for high-dimensional data.
23764875 - Human and organisational factors in maritime accidents: analysis of collisions at sea u...
20211015 - Prognostic impact of zap-70 expression in chronic lymphocytic leukemia: mean fluorescen...
16328945 - Towards data warehousing and mining of protein unfolding simulation data.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Molecular ecology resources     Volume:  12     ISSN:  1755-0998     ISO Abbreviation:  Mol Ecol Resour     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-12-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101465604     Medline TA:  Mol Ecol Resour     Country:  England    
Other Details:
Languages:  eng     Pagination:  975-82     Citation Subset:  IM    
Affiliation:
IRD, UR072-BEI C/O CNRS, Laboratoire Evolution Génomes et Spéciation, Gif sur Yvette Cedex, France. campagne@aesop.rutgers.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

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


Previous Document:  Cardiac autonomic activity and blood pressure among Inuit children exposed to mercury.
Next Document:  Effects of ketamine and its metabolites on ion currents in differentiated hippocampal H19-7 neuronal...