Evidence of linkage in subtypes of alcoholism

A genome wide search for alcoholism susceptibility genes

Alcoholism is currently one of the most serious public health problems in the US. Lifetime prevalence rates are relatively high with one in five men and one in 12 women meeting criteria for this condition. Identification of genetic loci conferring an increased susceptibility to developing alcohol dependence could strengthen prevention efforts by informing individuals of their risk before abusive drinking ensues. Families identified through a double proband methodology have provided an exceptional opportunity for gene-finding because of the increased recurrence risks seen in these sibships. A total of 360 markers for 22 autosomes were spaced at an average distance of 9.4 cM and genotyping performed for 330 members of these multiplex families. Extensive clinical data, personality variation, and event-related potential characteristics were available for reducing heterogeneity and detecting robust linkage signals. Multipoint linkage analysis using different analytic strategies give strong support for loci on chromosomes 1, 2, 6, 7, 10, 12, 14, 16, and 17.

Ordered subset analysis in genetic linkage mapping of complex traits

Etiologic heterogeneity is a fundamental feature of complex disease etiology; genetic linkage analysis methods to map genes for complex traits that acknowledge the presence of genetic heterogeneity are likely to have greater power to identify subtle changes in complex biologic systems. We investigate the use of trait-related covariates to examine evidence for linkage in the presence of heterogeneity. Ordered-subset analysis (OSA) identifies subsets of families defined by the level of a trait-related covariate that provide maximal evidence for linkage, without requiring a priori specification of the subset. We propose that examining evidence for linkage in the subset directly may result in a more etiologically homogeneous sample. In turn, the reduced impact of heterogeneity will result in increased overall evidence for linkage to a specific region and a more distinct lod score peak. In addition, identification of a subset defined by a specific trait-related covariate showing increased evidence for linkage may help refine the list of candidate genes in a given region and suggest a useful sample in which to begin searching for trait-associated polymorphisms. This method provides a means to begin to bridge the gap between initial identification of linkage and identification of the disease predisposing variant(s) within a region when mapping genes for complex diseases. We illustrate this method by analyzing data on breast cancer age of onset and chromosome 17q [Hall et al., 1990, Science 250:1684-1689]. We evaluate OSA using simulation studies under a variety of genetic models.

Potential regulation of nicotine and ethanol actions by alpha4-containing nicotinic receptors

A restriction fragment length polymorphism (RFLP) associated with a major nicotinic receptor subunit (i.e., alpha4) has been identified in two mouse lines that were selectively bred for differences in sensitivity to ethanol. These mice, referred to as Long-Sleep (LS) and Short-Sleep (SS) mice, also differ in sensitivity to several effects of nicotine. The potential role of the alpha4 RFLP in regulating several responses to nicotine and ethanol was evaluated by using the LSxSS-derived recombinant inbred (RI) strains. Those RI strains that carried the LS-like alpha4 RFLP were more sensitive to the depressant effects of nicotine on Y-maze crossing and rearing activities and ethanol-induced increases in Y-maze crossing activity than were those RI strains that carry the SS-like alpha4 RFLP. The LS-like RI strains were also more sensitive to nicotine-induced hypothermia. The RFLP was not associated with strain differences in ethanol-induced body temperature or sleep time. The potential role of the RFLP in regulating ethanol and nicotine consumption was evaluated in heterogeneous stock (HS) mice. An association was found between the alpha4 RFLP and variation in ethanol consumption, but not in nicotine consumption, as measured in a four-bottle choice test. Recent studies of ethanol and tobacco abuse by human beings suggest that common genes may influence these two forms of substance abuse. The results of the studies reported here suggest that the alpha4 nicotinic receptor gene should be evaluated for its potential role in regulating ethanol and tobacco abuse in human beings.

Classification methods for confronting heterogeneity

Recursive partitioning/tree models are discussed as a method of dissecting the complex nature of traits with different causal mechanisms operating in different subsets of the data (e.g., different genes operating in different subsets of families). In addition to the straightforward application of classification and regression trees to define more homogeneous subsets of the data on which to conduct further analysis, developments incorporating linkage analysis into the definition of the regression trees (Shannon et al., 2000) are discussed. The pros and cons of recursive partitioning vs. the related approach of context-dependent analysis (Turner et al., 1999) are also reviewed as two promising analysis strategies that may be useful for genetic dissection of complex traits.

[Introduction to genetic psychiatry: progress in uncovering genetic susceptibility to psychiatric disorders]

The recent progress in human genetics suggests major benefits in clinical practice, including psychiatry. This article introduces the research methodology used in psychiatric genetics and explains how it is applied, for a better understanding of the challenges facing psychiatric genetics and the strategies being used to overcome them. We will review the evidence of genetic factors in psychiatric disorder etiology as well as the specificity or non-specificity of their expression. We will discuss problems associated with the approximate nature of diagnostic methods, the incomplete penetrance and the genetic heterogeneity of psychiatric disorders, the presence of phenocopies and our uncertainty concerning the mode of inheritance of psychiatric disorders. Finally, we will provide an overview of the most promising results and set out priorities for future studies.