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Dataset . 2021
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ZENODO
Dataset . 2021
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
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Summary statistics from "Sex-Specific Causal Relations between Steroid Hormones and Obesity���A Mendelian Randomization Study"

Authors: Pott, Janne;

Summary statistics from "Sex-Specific Causal Relations between Steroid Hormones and Obesity���A Mendelian Randomization Study"

Abstract

GWAMA summary statistics of four steroid hormone levels and one steroid hormone ratio using fixed-effect model. When using this data, please cite: Pott J, Horn K, Zeidler R, et al.. Sex-Specific Causal Relations between Steroid Hormones and Obesity - A Mendelian Randomization Study. Metabolites 2021, 11, 738. https://doi.org/10.3390/metabo11110738 All txt files contain the following columns: markername chr bp_hg19 (base position according to hg19) ea (effect allele) oa (other allele) eaf (effect allele frequency) info (minimal info score across all used studies) nSamples (sample size per SNP) nStudies (number of studies) beta (effect estimate) se (standard error) p (p-value) I2 (SNP heterogeneity across studies) phenotype (phenotyp setting)

{"references": ["Pott J, Horn K, Zeidler R, et al.. Sex-Specific Causal Relations between Steroid Hormones and Obesity - A Mendelian Randomization Study. Metabolites 2021, 11, 738. https://doi.org/10.3390/metabo11110738"]}

Keywords

GWAMA, Summary Statistics, Steroid hormones

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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