Cholinergic receptor gene (CHRM2) variation and familial loading for alcohol dependence predict childhood developmental trajectories of P300.

paper Cited Public

Authors: Hill, Shirley Y; Jones, Bobby L; Holmes, Brian; Steinhauer, Stuart R; Zezza, Nicholas; Stiffler, Scott
Year: 2013
Journal: Psychiatry research
PMID: 23747232
DOI: 10.1016/j.psychres.2013.04.027
PMCID: PMC3796118

#	Section	Preview
20	2. Methods — 2.6. Auditory Event-Related Potential Recordings and analysis of ERP — 2.6.1 Task Performance Data	Trials were discarded for the presence of eye blinks or incorrect performance. Results were analyzed…
21	2. Methods — 2.6. Auditory Event-Related Potential Recordings and analysis of ERP — 2.6.2 P300 Trajectories	ERP data were collected at approximately annual intervals during childhood and biennially during…
22	2. Methods — 2.7. SNP Selection, DNA Isolation, and Genotyping	SNPs were chosen with a minor allele frequency (MAF) > 0.15 and pair-wise linkage disequilibrium…
23	2. Methods — 2.7. SNP Selection, DNA Isolation, and Genotyping	For SNP rs1824024, the SNP showing statistical significance for its association with the P300…
24	2. Methods — 2.7. SNP Selection, DNA Isolation, and Genotyping — 2.7.1. SNP Quality Control	SNP genotyping quality control involved ongoing monitoring of SNP signals provided by Qiagen…
25	2. Methods — 2.8. Statistical Methods — 2.8.1. Group Based Trajectory Modeling	Group based trajectory modeling (GBTM) was used to characterize the development of auditory P300…
26	2. Methods — 2.8. Statistical Methods — 2.8.1. Group Based Trajectory Modeling	Trajectory model selection involves the determination of an appropriate number of trajectory groups…
27	2. Methods — 2.8. Statistical Methods — 2.8.1. Group Based Trajectory Modeling	Because P300 amplitude is known to differ for males and females, analyses were conducted separately…
28	2. Methods — 2.8. Statistical Methods — 2.8.2. Familial Risk Status and P300 Development	Membership in a particular P300 developmental group was tested for its association with familial…
29	2. Methods — 2.8. Statistical Methods — 2.8.3. CHRM2 and P300 Developmental Trajectories	The seven SNPs located within a 132 kb region of CHRM2 were investigated for association with P300…
30	3.0. Results — 3.1. Trajectory Models	Constant and linear functions were found to be sufficient for modeling of the developmental changes…
31	3.0. Results — 3.1. Trajectory Models	Gender differences in P300 development were most apparent as a divergence of group proportions. Male…
32	3.0. Results — 3.1. Trajectory Models	The stability of trajectory group membership across developmental age groups is of potential…
33	3.0. Results — 3.2. Familial Risk Status and P300 Development	Based on the model results and the Wald test from PROC TRAJ, low-level P300 developmental trajectory…
34	3.0. Results — 3.3. CHRM2 and P300 Development	One SNP, rs1824024 located in intron 4 of the CHRM2 gene showed variation that was significantly…
35	3.0. Results — 3.4. Multiplicative Effects of CHRM2 and Gender	When genotype and gender are considered in an additive model, we find the CHRM2 TT genotype confers…
36	3.0. Results — 3.5. CHRM2 and Risk	The relationship between CHRM2 and P300 trajectory class membership could potentially be the result…
37	4.0. Discussion	The present results find auditory P300 trajectories associated with high familial risk for AD in…
38	4.0. Discussion	Using electrophysiological measures, a previous linkage study of SNPs within the CHRM2 gene reported…
39	4.0. Discussion	In addition to electrophysiological findings, two studies examined associations between SNPs in the…

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In this knowledge base

Title	Year	PMID
Genetic correlates of the development of theta event related oscillations in adolescents and young adults.	2017	27847216
Advances in Electrophysiological Research.	2015	26259089
Gender modulates the development of theta event related oscillations in adolescents and young adults.	2015	26102560
Heritability and molecular-genetic basis of the P3 event-related brain potential: a genome-wide association study.	2014	25387705

External

Title	Authors	Journal	Year	Link
The collaborative study on the genetics of alcoholism: Brain function.	Meyers JL et al.	—	2023	→
Epigenetic Effects in HPA Axis Genes Associated with Cortical Thickness, ERP Components and SUD Outcome.	Hill SY et al.	—	2022	→
Cognitive Control Deficits in Alcohol Dependence Are a Trait- and State-Dependent Biomarker: An ERP Study.	Liu X et al.	—	2020	→
CHRM2 Genotype Affects Inhibitory Control Mechanisms During Cognitive Flexibility.	Zink N et al.	—	2019	→
Genetic correlates of the development of theta event related oscillations in adolescents and young adults.	Chorlian DB et al.	—	2017	→
Promoter IV-BDNF deficiency disturbs cholinergic gene expression of CHRNA5, CHRM2, and CHRM5: effects of drug and environmental treatments.	Sakata K et al.	—	2017	→
Longitudinal predictors of cannabis use and dependence in offspring from families at ultra high risk for alcohol dependence and in control families.	Hill SY et al.	—	2016	→
Advances in Electrophysiological Research.	Kamarajan C et al.	—	2015	→
Gender modulates the development of theta event related oscillations in adolescents and young adults.	Chorlian DB et al.	—	2015	→
Psychological and Neurobiological Precursors of Alcohol Use Disorders in High Risk Youth.	Hill SY et al.	—	2015	→
Familial risk for alcohol dependence and developmental changes in BMI: the moderating influence of addiction and obesity genes.	Lichenstein SD et al.	—	2014	→
Heritability and molecular-genetic basis of the P3 event-related brain potential: a genome-wide association study.	Malone SM et al.	—	2014	→
Who gains? Genetic and neurophysiological correlates of BMI gain upon college entry in women.	Bauer LO	—	2014	→