TY - CHAP
T1 - Ion channels as a possible mechanism of neurodegeneration in multiple sclerosis
AU - Foco, Luisa
AU - Pastorino, Roberta
A2 - Berzuini, Carlo
A2 - Dawid, A Philip
A2 - Bernardinelli, Luisa
PY - 2012/8/13
Y1 - 2012/8/13
N2 - Genomewide studies of genetic association may prove less useful for individual risk estimation than for discovering and characterizing pathogenetic molecular pathways (Hirschhorn, 2009). In the latter task, they complement the traditional tools of bioinformatics and experimental biology. They contribute the empirical muscle that only the epidemiological observation of the disease process in humans may provide. This chapter illustrates this with the aid of a study of the types of ion channel dysfunction that may cause multiple sclerosis (MS). From a methodological point of view, this chapter complements Chapter 14 in this volume by tackling a form of interaction where the value of a causal factor determines a change of direction in the effect of another factor (Azzalini and Cox, 1984). This form of interaction, known as qualitative, is interpretable in terms of mechanism. We propose a method for testing for qualitative interaction between genetic effects, in the context of the analysis of family structured genetic data. We illustrate the method with the aid of the above mentioned study.
AB - Genomewide studies of genetic association may prove less useful for individual risk estimation than for discovering and characterizing pathogenetic molecular pathways (Hirschhorn, 2009). In the latter task, they complement the traditional tools of bioinformatics and experimental biology. They contribute the empirical muscle that only the epidemiological observation of the disease process in humans may provide. This chapter illustrates this with the aid of a study of the types of ion channel dysfunction that may cause multiple sclerosis (MS). From a methodological point of view, this chapter complements Chapter 14 in this volume by tackling a form of interaction where the value of a causal factor determines a change of direction in the effect of another factor (Azzalini and Cox, 1984). This form of interaction, known as qualitative, is interpretable in terms of mechanism. We propose a method for testing for qualitative interaction between genetic effects, in the context of the analysis of family structured genetic data. We illustrate the method with the aid of the above mentioned study.
KW - Causation
UR - https://www.scopus.com/pages/publications/84957101634
M3 - Chapter
SN - 978-0470665565
T3 - Wiley Series in Probability and Statistic
SP - 208
EP - 216
BT - Causality: Statistical Perspectives and Applications
PB - John Wiley & Sons Ltd
CY - Chichester, West Sussex, PO19 8SQ, United Kingdom
ER -