GWAS summary statistics for waist-to-hip ratio and body principal components
Creators
- 1. University of Lausanne
- 2. William Harvey Research Institute, Barts and the London Scool of Medicine and Dentistry
- 3. Lausanne University Hospital
- 4. University of Copenhagen
- 5. University of Edinburgh
- 6. Icahn School of Medicine at Mount Sinai, New York
Description
This dataset contains genome-wide association summary statistics for waist-to-hip ratio (WHR), as well as those for body principal components (PCs). A subset of 387,139 unrelated, white British individuals were analyzed for WHR. PCs were combined from the summary statistics for WHR and 13 other anthropometric traits (body mass index, standing height, weight, hip circumference, waist circumference, arm lean mass (left), arm fat mass (left), leg lean mass (left), leg fat mass (left), trunk lean mass, trunk fat mass, body fat percentage, basal metabolic rate) provided by the Neale lab (http://www.nealelab.is/uk-biobank). All traits were inverse-rank normal transformed (by the Neale lab or ourselves for WHR).
All effect sizes, including those for PCs, are standardized, i.e. they represent the effects on a trait with variance 1.
The zip files contain the data to run the sample pipeline and the shiny app, both available from https://github.com/JonSulc/PCA_Cross-sex_MR.
Files
PCA-MR pipeline data.zip
Files
(13.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:b66082ece75d709666c7632f9036e4f9
|
860.4 MB | Download |
|
md5:ffc6d5a3be8131fe200ff71cca1d4ce1
|
859.8 MB | Download |
|
md5:16b47f68ee25340db7a3609239836058
|
858.7 MB | Download |
|
md5:d4860e3dbf782902a866133971a40937
|
861.2 MB | Download |
|
md5:04ea894f98709ab464c5931c4cca850f
|
675.7 MB | Download |
|
md5:51360ac5d4dcc0f0a48d4cac5868f1fc
|
856.4 MB | Download |
|
md5:df93afc67a870a7702ff3647c6f3b40a
|
856.4 MB | Download |
|
md5:9432c27a7b123b92163124ce61b5c46e
|
856.2 MB | Download |
|
md5:048185c526b311986aa32836d07b5aad
|
856.2 MB | Download |
|
md5:74bfe1cc3c9cf688e7607e71af0ccc67
|
673.6 MB | Download |
|
md5:0fc014205f099187aa437e6c6f1adc1a
|
855.6 MB | Download |
|
md5:480c2f8f2fe53588868ba8f2d879ef98
|
855.7 MB | Download |
|
md5:81018d3af395c25140d6fb23a60f5b99
|
855.5 MB | Download |
|
md5:4bceafdd333b780f0662d24338a6ca67
|
855.6 MB | Download |
|
md5:18ac0f4615022aab46bc0693ef393465
|
673.1 MB | Download |
|
md5:d2c32cd4cf053d1044c9b9ef5294da39
|
617.7 MB | Preview Download |
|
md5:d85d3b84a88e0bf483354f1ab56f8497
|
184.8 MB | Preview Download |
Additional details
Funding
- Deciphering the missing heritability 31003A_143914
- Swiss National Science Foundation
- Mendelian randomisation to reveal context-specific exposome-disease networks 310030_189147
- Swiss National Science Foundation
References
- Sulc, Jonathan et al. (2021) Composite trait Mendelian Randomization reveals distinct metabolic and lifestyle consequences of differences in body shape medRxiv 2020.09.03.20187567