Table 1 Effect size and explained variance of BMI-associated FTO SNPs

Aug 22, 2014

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Table 1 Effect size and explained variance of BMI-associated FTO SNPs. Loos, R. J. F. & Yeo, G. S. H. (2013) The bigger picture of FTO —the first GWAS‑identified obesity gene Nat. Rev. Endocrinol. doi:10.1038/nrendo.2013.227.

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Table 1 Effect size and explained variance of BMI-associated FTO SNPs

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Table 1 Effect size and explained variance of BMI-associated FTO SNPs Loos, R. J. F. & Yeo, G. S. H. (2013) The bigger picture of FTO—the first GWAS‑identified obesity gene Nat. Rev. Endocrinol. doi:10.1038/nrendo.2013.227

Relative Variation, Variance Heterogeneity, and Effect Size

by Relative Variation, Variance Heterogeneity, and Effect Size Andrew R. Gilpin & Helen C. Harton Number Crunchers, April 7, 1998 Homogeneity of Variance as Assumption for Tests on Means Robustness of t, F Unequal n’s, non-normal data are troublesome Variance as Dependent Variable

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Effect Size

Effect Size . More to life than statistical significance Reporting effect size. OUTLINE. NHST problems Context and types of Effect Size Comparing samples: The d family of effect sizes Interpretation Understanding the individual: Case Level effect sizes The r family of effect

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DNA repair SNPs Associated with Breast Cancer

DNA repair SNPs Associated with Breast Cancer. By: Brittany Duncan Mentors: Janet Sinsheimer PhD (UCLA) Mary Sehl M.D.(UCLA). What We Aim to Do. To ultimately determine: What SNP and Environmental factors contribute to breast cancer

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Effect Size

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Effect Size

Effect Size. P arameter used to compare results of different studies on the same scale in which a common effect of interest (response variable) has been measured Magnitude of effect e.g. mean Index of precision e.g. variance, standard error, CI. Variance. Most common index of precision

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Explained and unexplained variance

SS total = SS explained + SS unexplained. N. N. N. Explained and unexplained variance. SS total = SS explained + SS unexplained. σ 2 Y’ [ =unexplained]. σ 2 Y [ =total]. Explained and unexplained variance. r 2 XY = 1 -. σ 2 Y’ [ =unexplained]. σ 2 Y [ =total].

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Kawasaki Disease risk-associated snps

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Effect Size

Effect Size . More to life than statistical significance Reporting effect size. Statistical significance. Turns out a lot of researchers do not know what precisely p < .05 actually means Cohen (1994) Article: The earth is round (p<.05)

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Predicting effect of SNPs and de novo variants on splicing

Predicting effect of SNPs and de novo variants on splicing. presented by Alexander Tchourbanov. Presentation structure. Previous work on predicting aberrant splicing events induced by common and de novo genetic variants Proposed plan of action. Problem of aberrant splicing.

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Predicting effect of SNPs and de novo mutations on splicing

Predicting effect of SNPs and de novo mutations on splicing. presented by Alexander Tchourbanov Biology Department New Mexico State University. Motivation. Recently, high throughput genotyping methods became available

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%Variance explained by each EOF

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Effect Size

Effect Size. What it is and what it ain’t. Consider Quine. “Now if objective reference is so inaccessible to observation, who is to say on empirical grounds that belief in objects of one or another description is right or wrong?” - W.V. Quine, Word and Object, 1960 -.

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Table 1 Effects of SNPs in methotrexate pathway genes on JIA treatment

Table 1 Effects of SNPs in methotrexate pathway genes on JIA treatment. Schmeling, H. et al. (2014) Pharmacogenetics: can genes determine treatment efficacy and safety in JIA? Nat. Rev. Rheumatol. doi:10.1038/nrrheum.2014.140.

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Power and Effect Size

Power and Effect Size. I factor 4 levels. Testing?. effect. TREATMENT. NULL. power. β. 1 - β. 1- α. α /2. α /2. What determines power? Effect size Sample size Variability Significance level 1 or 2 tail choice Kind of test. effect. NULL. TREATMENT. power. β. 1 - β. 1- α.

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Associations of FTO and MC4R SNPs with obesity traits in the Indian Migration Study

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Effect Size

Effect Size. Effect sizes provides a measure of the clinical importance of an empirical finding There are many types of effect size. Cohen’s D. Cohen’s d is a measure of effect size that scales mean differences in standard deviation units Classifications for Cohen’s d

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Table 1 The epidemiology of NAFLD-associated HCC

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Figure 1 A cluster of BMI-associated SNPs in the first intron of FTO

Figure 1 A cluster of BMI-associated SNPs in the first intron of FTO. Loos, R. J. F. & Yeo, G. S. H. (2013) The bigger picture of FTO —the first GWAS‑identified obesity gene Nat. Rev. Endocrinol. doi:10.1038/nrendo.2013.227.

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Computational prediction of damage associated non synonymous SNPs of CYP17A1 and CYP19A1 gene

The cytochrome P450 proteins are monooxygenases which catalyze many reactions involved in drug metabolism and synthesis of cholesterol, steroids and other lipids. CYP17A1 and CYP19A1 are the key proteins involved in steroidogenesis. Majority of polymorphisms have yet not been evaluated for their possible damaging effects on protein structure and function of both the genes. In present analysis, we tried to find out the effect of damage associated nsSNPs of both CYP17A1 and CYP19A1 gene by using various computational algorithms. Out of 205 and 246 nsSNPs reported for CYP17A1 and CYP19A1 gene, total 13 and 7 were predicted to affect the structure and function respectively. R125Q, R416H and F453S substitutions of CYP17A1 gene were not reported previously hence provide the new dataset of unexplored SNPs for their validation. By our results we also found that substitution of mainly Arginine or Phenyl alanine within conserved domain of redox binding, heam binging and redox partner site would cause partial or complete loss of function of both CYP17 and CYP19 gene. Richa Bhatnager | Ranjeet Kaur | Amita Suneja Dang | Twinkle Dahiya "Computational prediction of damage associated non synonymous SNPs of CYP17A1 and CYP19A1 gene" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd3581.pdf Paper URL: http://www.ijtsrd.com/biological-science/biotechnology/3581/computational-prediction-of-damage-associated-non-synonymous-snps-of-cyp17a1-and-cyp19a1-gene/richa-bhatnager

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