Abstract
The lod score method for localizing mendelian disease genes in human genetics is reviewed. Current ways of applying this technique to hypothesized genes underlying complex traits are discussed. In contrast to these parametric methods, allele-sharing methods using affected sib pairs are reviewed. Based on such allele-sharing data, a particular type of analysis is outlined which can identify sets of disease loci. This method makes use of pattern-recognition techniques as implemented in artificial neural networks (ANNs).
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Ott, J., Lucek, P. (1998). Complex Traits on the Map. In: Schwab, M., Rabes, H.M., Munk, K., Hofschneider, H.P. (eds) Genes and Environment in Cancer. Recent Results in Cancer Research, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46870-4_19
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DOI: https://doi.org/10.1007/978-3-642-46870-4_19
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