Molecular genetic approach to treatment and diagnosis of alcohol and drug dependence
a genetic approach and alcohol and drug technology, applied in the field of molecular genetic approach to treatment and diagnosis of alcohol and drug dependence, can solve the problems of disulfuram having limited utility, nausea, vomiting, and hypertension
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[0121]The polymorphisms identified herein also include their related miRNA, mRNA, ncRNA, or protein expression, levels, or states of function, or other biochemical products or chemical associations, which may serve as biomarkers.
[0122]In an aspect, a method of treating an addictive disease or disorder is provided, comprising: administering to a patient in need thereof a therapeutically effective amount of an antagonist of the serotonin receptor 5-HT3, wherein the patient's serotonin transporter gene SLC6A4 is known to have at least one, including two, three, four, five or more, of rs1176719 (including the AA genotype), rs1150226 (including the AG genotype), rs17614942 (including the AC genotype), rs1042173 (including the TT genotype), rs1176713 (including the GG genotype), LL genotype of 5-HTTLPR, or any combination thereof. For example, the patient's serotonin transporter gene SLC6A4 is known to have rs1176719 and rs1150226; rs1176719, rs1150226 and rs17614942; rs1176719, rs1150226...
example 1
Analysis of Gene Patterns Related to Response to Ondansetron Treatment
[0370]Genotype data was collected from 281 patients participating in a clinical trial wherein ondansetron was administered. Epistatic analysis among SNPs from serotonin (SERT), 5HT-3A, and 5HT-3B reveal that significant epistatic effect exists among the three genes in affecting response to ondesetron treatment as measured by drinks / drinking day (DDD), drinks / day (DD), percentage heavy drinking days (PHDD), and percentage of days abstinent (PDA).
Combination of Either 5-HTT (LL+TT) or rs1150226 (AG) or rs1176713 (GG)
LL / TT or AG or GGOutcomes / Genotype combination(90 / 283 = 32%)ComparisonOND [40 / 133] vs. Placebo[50 / 139]Drinks per Drinking Days−1.77 [−2.94, −0.59](DDD)(0.003)Percentage of Heavy Drinking Days−11.60% [−22.49, −0.71](PHDD)(0.037)Percentage Days of Abstinent11.96% [1.11, 22.81](PDA)(0.031)Percentage of Subjects with No HeavyOdds RatioDrinking Days (PSNHDD)ComparisonOND [8 / 23] vs. Placebo [3 / 27]Last 1 month:...
example 2
CART Analysis of Gene Patterns Related to Response to Ondansetron Treatment
[0372]A decision tree is a structure that can be used to divide up a large collection of records into successively smaller sets of records by applying a sequence of simple decision rules. One advantage of decision tree is that the results can be easily interpreted. CART is a popular decision tree algorithm first published in Breiman et al 1984. CART starts by dividing data into 2 sub-groups (child nodes) that are homogeneous with respect to a particular target variable, in our case the target variable is the binary class label Z. By doing exhaustive search over all possible cutoffs for all possible candidate covariates, sub-groups are formed by identifying optimal split point for the optimal candidate covariate. Repeat the process recursively at each child node until one of the stopping criteria is met. In the end, CART prunes tree to smaller optimal size using cross-validation. After the final tree is determ...
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