Quantitative risk factors as indices of alcoholism susceptibility.
- Authors
- Almasy, Laura
- Year
- 2003
- Journal
- Annals of medicine
- PMID
- 12952020
- DOI
- 10.1080/07853890310004903
Alcoholism is a complex disorder involving both genetic and environmental factors and interactions between them. Localizing and characterizing the genetic influences on susceptibility to alcohol dependence may provide new insights into pathology and new avenues for treatment and prevention. However, because of the complex nature of the disorder, the binary categorization of individuals as affected or unaffected may be a poor indicator of their underlying genetic susceptibility. Quantitative risk factors, or endophenotypes, that differentiate levels of severity among affected individuals and levels of susceptibility among unaffected individuals, provide one solution to this problem. Genetic studies of such quantitative risk factors in families of probands with alcohol dependence may help to disentangle the complex genetic architecture of this disorder.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Event-Related Oscillations in Alcoholism Research: A Review. | 2012 | 24273686 |
| Alcoholism: the dissection for endophenotypes. | 2005 | 16262210 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Endophenotype trait domains for advancing gene discovery in autism spectrum disorder. | Mosconi MW et al. | β | 2023 | β |
| Personality as an intermediate phenotype for genetic dissection of alcohol use disorder. | Oreland L et al. | β | 2018 | β |
| Cognitive genomics: Searching for the genetic roots of neuropsychological functioning. | Bearden CE et al. | β | 2017 | β |
| The SLC6A3 gene possibly affects susceptibility to late-onset alcohol dependence but not specific personality traits in a Han Chinese population. | Huang CC et al. | β | 2017 | β |
| Arguments for the sake of endophenotypes: examining common misconceptions about the use of endophenotypes in psychiatric genetics. | Glahn DC et al. | β | 2014 | β |
| Association of gene polymorphisms encoding dopaminergic system components and platelet MAO-B activity with alcohol dependence and alcohol dependence-related phenotypes. | Nedic Erjavec G et al. | β | 2014 | β |
| Genome-Wide Analyses of Working-Memory Ability: A Review. | Knowles EE et al. | β | 2014 | β |
| Genome-wide significant localization for working and spatial memory: Identifying genes for psychosis using models of cognition. | Knowles EE et al. | β | 2014 | β |
| Event-Related Oscillations in Alcoholism Research: A Review. | Pandey AK et al. | β | 2012 | β |
| Genetic architecture of declarative memory: implications for complex illnesses. | Bearden CE et al. | β | 2012 | β |
| Family-based association analysis of alcohol dependence in the COGA sample and replication in the Australian twin-family study. | Wang KS et al. | β | 2011 | β |
| Cannabis dimensionality: dependence, abuse and consumption. | Beseler CL et al. | β | 2010 | β |
| Human variation in alcohol response is influenced by variation in neuronal signaling genes. | Joslyn G et al. | β | 2010 | β |
| The dimensionality of alcohol use disorders: results from Israel. | Shmulewitz D et al. | β | 2010 | β |
| Dimensionality of lifetime alcohol abuse, dependence and binge drinking. | Hasin DS et al. | β | 2009 | β |
| Human QTL linkage mapping. | Almasy L et al. | β | 2009 | β |
| Chromosome 15q25.1 genetic markers associated with level of response to alcohol in humans. | Joslyn G et al. | β | 2008 | β |
| QTLs identified for P3 amplitude in a non-clinical sample: importance of neurodevelopmental and neurotransmitter genes. | Wright MJ et al. | β | 2008 | β |
| Uncovering genes for cognitive (dys)function and predisposition for alcoholism spectrum disorders: a review of human brain oscillations as effective endophenotypes. | Rangaswamy M et al. | β | 2008 | β |
| Annotation: what electrical brain activity tells us about brain function that other techniques cannot tell us - a child psychiatric perspective. | Banaschewski T et al. | β | 2007 | β |
| Informative phenotypes for genetic studies of psychiatric disorders. | Szatmari P et al. | β | 2007 | β |
| A cholinergic receptor gene (CHRM2) affects event-related oscillations. | Jones KA et al. | β | 2006 | β |
| Endophenotypes for psychiatric disorders: ready for primetime? | Bearden CE et al. | β | 2006 | β |
| Genetics of human brain oscillations. | Begleiter H et al. | β | 2006 | β |
| Heritability of P300 amplitude development from adolescence to adulthood. | Carlson SR et al. | β | 2006 | β |
| Rapid ethanol tolerance mediated by adaptations in acute tolerance in inbred mouse strains. | Radcliffe RA et al. | β | 2006 | β |
| Using the brain P300 response to identify novel phenotypes reflecting genetic vulnerability for adolescent substance misuse. | Yoon HH et al. | β | 2006 | β |
| A gene-model-free method for linkage analysis of a disease-related-trait based on analysis of proband/sibling pairs. | Sung H et al. | β | 2005 | β |
| Alcoholism: the dissection for endophenotypes. | Hines LM et al. | β | 2005 | β |
| The utility of neurophysiological markers in the study of alcoholism. | Porjesz B et al. | β | 2005 | β |
| Whole-genome variance components linkage analysis using single-nucleotide polymorphisms versus microsatellites on quantitative traits of derived phenotypes from factor analysis of electroencephalogram waves. | Yu Y et al. | β | 2005 | β |