A Review of Statistical Methods for Genome Mapping

Hywel B. Jones

International Statistical Review, 2000, vol. 68, issue 1, 5-21

Abstract: Framework maps of the human genome are an important staging post in the on‐going effort to sequence the entire genome. The existence of high quality maps is also a prerequistite for studies attempting to determine the location of genes involved in common diseases. The basic experimental approaches to constructing both genetic and physical maps are briefly described as well as their respective uses. A variety of statistical approaches to map construction are outlined including parsimony, maximum likelihood and Bayesian methodologies. The mostly widely used of these, the method of maximum likelihood, is discussed in detail, particularly in the context of physical mapping using radiation hybrids. Finally, current statistical issues and problems in the field of genome mapping are described. Des cartes squelette du génome humain sont une étape, important dans l'effort actuel pour séquecer, le génome tout entier. L'existence de cartes de bonne qualité est aussi la condition d'études visant à localiser les génes, interwenant dans des maladies courantes. Les approches expérimentales de base pour construire tant des cartes génétigues, que physiques sont briévement, décrites ainsi que leurs usages respectifs. Plusieurs méthodes, statistiques de cartographie sont mises en relief: notamment celles de parcimonie, du maximum de vraisemblance et bayésiennce.La plus largement utilisée‐laméthode, du maximum de vraisemblance‐est examinéen détail, particuliérement pour la cartographue physique utilisant des phybrides d'irradiation Enfin sont abordés, divers questions et probémes, courants on matiéde cartographie génétique.

Date: 2000
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