Naslov
Copulas in QTL mapping

Autori
Basrak, Bojan ; Klaassen, Chris A. J. ; Beekman, Marian ; Martin, Nick G. ; Boomsma, Dorret I.

Izvornik
Behavior genetics (0001-8244) 34 (2004), 2; 161-171

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
quantitative trait loci ; variance components ; normal distribution ; copulas ; genome scan

Sažetak
The standard variance components method for mapping quantitative trait loci is derived on the assumption of normality. Unsurprisingly, statistical tests based on this method do not perform so well if this assumption is not satisfied. We use the statistical concept of copulas to relax the assumption of normality and derive a test that can perform well under any distribution of the continuous trait. In particular, we discuss bivariate normal copulas in the context of sib-pair studies. Our approach is illustrated by a linkage analysis of lipoprotein(a) levels, whose distribution is highly skewed. We demonstrate that the asymptotic critical levels of the test can still be calculated using the interval mapping approach. The new method can be extended to more general pedigrees and multivariate phenotypes in a similar way as the original variance components method.

Izvorni jezik
Engleski

Znanstvena područja
Matematika

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