*Tid:***9 december 2002 kl 1515-1700 **

*Plats :***Seminarierummet 3733**, Institutionen för
matematik, KTH, Lindstedts väg 25, plan 7. Karta!

*Föredragshållare:***
Ola Hössjer, Matematisk statistisk,
Stockholms Universitet.
**

**Titel:** **
Computing genomwise significance levels in linkage analysis.**

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**Sammanfattning:
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Statistical linkage analysis is a method for localizing genes
causing or contributing to an inheritable disease. The idea is
to test, at each chromosomal position, whether inheritance of
the disease is correlated (linked) to inheritance of DNA at
that position. Because of the large number of tests being
performed, it is important to adjust significance levels for
multiple testing. Standard Bonferroni
corrections are too
crude since tests at nearby positions are very correlated. In
this talk, I describe a method based on extreme value theory
for Gaussian processes, which generalizes previous work by
e.g. Kruglyak and Lander (1995). The score function (test
statistic) is viewed as a stochastic process, with chromosomal
position as `time index'. Two important steps of the methods
are 1) to calculate the slope of the covariance function at
zero and 2) to correct for non-Gaussianity by means of a
transformation.