PMC:6955813 / 4772-5796 JSONTXT

{"project":"2_test","denotations":[{"id":"31671579-17695343-56608603","span":{"begin":171,"end":173},"obj":"17695343"}],"text":"2.3. Statistical Analyses\nSPSS statistical software version 24.0 [12] was used to perform all our statistical analyses except the power analysis. GPower 3.1.9.4 software [13] was used for the power analysis. Continuous variables were presented as mean value ± standard deviation, and categorical ones were shown as numbers and percentages. A chi-squared goodness-of-fit test was performed to determine if the genotypes of rs2569190A\u003eG in CD14 were in Hardy–Weinberg equilibrium (HWE).\nTo study the association between rs2569190A\u003eG in CD14 and hypercholesterolemia and HTN, a multivariate logistic regression model was used while correcting for different confounding factors (age, gender, body mass index, marital status, smoking, and physical activity). This analysis was performed under the assumption of additive (AA vs. GA vs. GG) and recessive models (AA and GA vs. GG). The sample size needed to reach a statistical power of at least 0.90 in a two-sided test with α = 0.05 and an effect size of 0.2 was 409 individuals."}

{"project":"PubTator4TogoVar","denotations":[{"id":"10134","span":{"begin":422,"end":431},"obj":"SNP"},{"id":"10138","span":{"begin":518,"end":527},"obj":"SNP"}],"attributes":[{"id":"A10134","pred":"resolved_to","subj":"10134","obj":"tmVar:rs2569190;VariantGroup:3;CorrespondingGene:929;RS#:2569190;CorrespondingSpecies:9606"},{"id":"A10138","pred":"resolved_to","subj":"10138","obj":"tmVar:rs2569190;VariantGroup:3;CorrespondingGene:929;RS#:2569190;CorrespondingSpecies:9606"}],"text":"2.3. Statistical Analyses\nSPSS statistical software version 24.0 [12] was used to perform all our statistical analyses except the power analysis. GPower 3.1.9.4 software [13] was used for the power analysis. Continuous variables were presented as mean value ± standard deviation, and categorical ones were shown as numbers and percentages. A chi-squared goodness-of-fit test was performed to determine if the genotypes of rs2569190A\u003eG in CD14 were in Hardy–Weinberg equilibrium (HWE).\nTo study the association between rs2569190A\u003eG in CD14 and hypercholesterolemia and HTN, a multivariate logistic regression model was used while correcting for different confounding factors (age, gender, body mass index, marital status, smoking, and physical activity). This analysis was performed under the assumption of additive (AA vs. GA vs. GG) and recessive models (AA and GA vs. GG). The sample size needed to reach a statistical power of at least 0.90 in a two-sided test with α = 0.05 and an effect size of 0.2 was 409 individuals."}

{"project":"PubTatorOnTogoVar","denotations":[{"id":"24903","span":{"begin":422,"end":431},"obj":"SNP"},{"id":"24907","span":{"begin":518,"end":527},"obj":"SNP"},{"id":"T1","span":{"begin":422,"end":431},"obj":"SNP"},{"id":"T1","span":{"begin":518,"end":527},"obj":"SNP"}],"attributes":[{"id":"A24903","pred":"resolved_to","subj":"24903","obj":"tmVar:rs2569190;VariantGroup:3;CorrespondingGene:929;RS#:2569190;CorrespondingSpecies:9606"},{"id":"A24907","pred":"resolved_to","subj":"24907","obj":"tmVar:rs2569190;VariantGroup:3;CorrespondingGene:929;RS#:2569190;CorrespondingSpecies:9606"}],"text":"2.3. Statistical Analyses\nSPSS statistical software version 24.0 [12] was used to perform all our statistical analyses except the power analysis. GPower 3.1.9.4 software [13] was used for the power analysis. Continuous variables were presented as mean value ± standard deviation, and categorical ones were shown as numbers and percentages. A chi-squared goodness-of-fit test was performed to determine if the genotypes of rs2569190A\u003eG in CD14 were in Hardy–Weinberg equilibrium (HWE).\nTo study the association between rs2569190A\u003eG in CD14 and hypercholesterolemia and HTN, a multivariate logistic regression model was used while correcting for different confounding factors (age, gender, body mass index, marital status, smoking, and physical activity). This analysis was performed under the assumption of additive (AA vs. GA vs. GG) and recessive models (AA and GA vs. GG). The sample size needed to reach a statistical power of at least 0.90 in a two-sided test with α = 0.05 and an effect size of 0.2 was 409 individuals."}