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Snp analyzer 2

Manufactured by IBM
Sourced in United States

The SNP Analyzer 2.0 is a laboratory instrument designed to detect and analyze single nucleotide polymorphisms (SNPs) in DNA samples. The core function of this product is to perform high-throughput genotyping and allele detection with enhanced accuracy and efficiency.

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5 protocols using snp analyzer 2

1

Genetic Factors in Obsessive-Compulsive Disorder

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SPSS v.22.0 and SNP Analyzer 2.0 were used for statistical analyses. Alleles and genotypes frequencies were compared between OCD cases and controls using the chi-squared test. Odds ratios (ORs) for effect alleles and genotypes were measured by logistic regression. Adjusted relative risks were measured using sex as a covariate. Association between genomic variants and OCD risk was assessed in four inheritance models. Associations were described as OR and 95% confidence interval of OR (95% CI), P-value and FDR adjusted q-values. The FDR adjusted q-values were estimated via analyzing a stack of p values in column analyses by GraphPad Prism version 9.0. P value < 0.05 was considered as significant.
Association of haplotypes with OCD was investigated using a haplotype-specific test with one degree-of-freedom. D′ and r parameters were calculated for assessment of linkage between rs1333045, rs1333048, rs10757278 and rs4977574 variants.
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2

Tunisian Coronary Patients' LDL-c Responses

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The study included 181 Tunisian coronary patients who were recruited at the Cardiology Department of the Sahloul and Fatouma Bourguiba University Hospitals. Statistical analysis was performed with SPSS software (V. 22) and the haplotype estimation by SNP Analyzer 2.0. Referring to the lipids targets values by the European Socitey of Cardiology, and European Atherosclerosis Socitey, guidelines 2019 the population was divided based on the percentage reduction of LDL-c into responders who showed reduction ≥ 30% and non responders who showed a reduction <30% ; myopathy was defined according to the American College of Cardiology, American Heart Association and National Heart, Lungand Blood Institute.
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3

Methamphetamine Dependence Genetic Study

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The aim, design and setting of the study This case-control study involved 235 cases (with methamphetamine dependence (SUD) and 204 gendermatched controls (healthy individuals). In our study, SUD was recognized by the 11 criteria. The 11 criteria are divided into four categories of behavior, such as impaired control, social impairment, risky use and pharmacological indicators (tolerance and withdrawal) related to the substance use (Table 1) [25, 26] .
The PICK1-rs713729, PICK1-rs2076369 and BDNF-rs6265 genotypes were analyzed by ampli cation refractory mutation system-polymerase chain reaction (ARMS-PCR) assay. Subsequently, statistical analysis was performed, using SPSS 20.0 (IBM Inc., Chicago, IL, USA), PHASE 2.1.1 program as well as SNP Analyzer 2.0.
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4

Genetic Associations in Methamphetamine Dependence

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The aim, design and setting of the study This case-control study involved 235 cases (with methamphetamine dependence (SUD) and 204 gender-matched controls (healthy individuals). In our study, SUD was recognized by the 11 criteria. The 11 criteria are divided into four categories of behavior, such as impaired control, social impairment, risky use and pharmacological indicators (tolerance and withdrawal) related to the substance use (Table 1) [25, 26] .
The PICK1-rs713729, PICK1-rs2076369 and BDNF-rs6265 genotypes were analyzed by ampli cation refractory mutation system-polymerase chain reaction (ARMS-PCR) assay. Subsequently, statistical analysis was performed, using SPSS 20.0 (IBM Inc., Chicago, IL, USA), PHASE 2.1.1 program as well as SNP Analyzer 2.0.
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5

Genetic Associations in Methamphetamine Dependence

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The aim, design and setting of the study This case-control study involved 235 cases (with methamphetamine dependence (SUD) and 204 gender-matched controls (healthy individuals). In our study, SUD was recognized by the 11 criteria. The 11 criteria are divided into four categories of behavior, such as impaired control, social impairment, risky use and pharmacological indicators (tolerance and withdrawal) related to the substance use (Table 1) [25, 26] .
The PICK1-rs713729, PICK1-rs2076369 and BDNF-rs6265 genotypes were analyzed by ampli cation refractory mutation systempolymerase chain reaction (ARMS-PCR) assay. Subsequently, statistical analysis was performed, using SPSS 20.0 (IBM Inc., Chicago, IL, USA), PHASE 2.1.1 program as well as SNP Analyzer 2.0.
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