Bias and Precision in QST Estimates: Problems and Some Solutions | Zendy

Robert B. O’Hara | Zendy; Juha Merilä | Zendy

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Bias and Precision in QST Estimates: Problems and Some Solutions

Author(s) -

Robert B. O’Hara,

Juha Merilä

Publication year - 2005

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1534/genetics.105.044545

Subject(s) - bayesian probability , accuracy and precision , confidence interval , statistics , biology , parametric statistics , population , coding (social sciences) , estimation , econometrics , genetics , mathematics , economics , demography , management , sociology

Comparison of population differentiation in neutral marker genes and in genes coding quantitative traits by means of F(ST) and Q(ST) indexes has become commonplace practice. While the properties and estimation of F(ST) have been the subject of much interest, little is known about the precision and possible bias in Q(ST) estimates. Using both simulated and real data, we investigated the precision and bias in Q(ST) estimates and various methods of estimating the precision. We found that precision of Q(ST) estimates for typical data sets (i.e., with <20 populations) was poor. Of the methods for estimating the precision, a simulation method, a parametric bootstrap, and the Bayesian approach returned the most precise estimates of the confidence intervals.

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