bmi_insulin: Dataset from Richmond et. al 2017 investigating the...
In mrbayes: Bayesian Summary Data Models for Mendelian Randomization Studies
Description
Usage
Format
Details
References
Description
A two-sample summary level dataset, Richmond et al. (2017) doi: 10.1101/155739, containing 14 single nucleiodtide polymorphisms (SNPs) which have genotype-phenotype associations (BMI) and genotype-outcome associations (insulin) with their respective standard errors.
Usage
1
Format
A data frame with 14 rows and 44 columns:
- rsid
SNP RSID number
- beta.exposure
The genotype-BMI associations
- beta.outcome
The genotype-outcome associations
- se.exposure
The standard errors of the genotype-phenotype associations
- se.outcome
The standard errors of the genotype-outcome associations
Details
bmi_insulin.
References
Richmond, R. et al., Investigating the role of insulin in increased adiposity: Bi-directional Mendelian randomization study. bioRxiv, 2017, doi: 10.1101/155739.
mrbayes documentation built on Oct. 2, 2021, 5:08 p.m.
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Description Usage Format Details References
Description
A two-sample summary level dataset, Richmond et al. (2017) doi: 10.1101/155739, containing 14 single nucleiodtide polymorphisms (SNPs) which have genotype-phenotype associations (BMI) and genotype-outcome associations (insulin) with their respective standard errors.
Usage
1 |
Format
A data frame with 14 rows and 44 columns:
- rsid
SNP RSID number
- beta.exposure
The genotype-BMI associations
- beta.outcome
The genotype-outcome associations
- se.exposure
The standard errors of the genotype-phenotype associations
- se.outcome
The standard errors of the genotype-outcome associations
Details
bmi_insulin.
References
Richmond, R. et al., Investigating the role of insulin in increased adiposity: Bi-directional Mendelian randomization study. bioRxiv, 2017, doi: 10.1101/155739.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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