| Title: | Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry |
| Journal: | Hum Mol Genet |
| Published: | 15 Oct 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30124842/ |
| DOI: | https://doi.org/10.1093/hmg/ddy271 |
Publication 3075
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Abstract
This study aimed at identifying single nucleotide polymorphisms (SNP) associated with height and body mass index. The design of our study consisted of combining publicly available summary statistics from previous genome-wide association studies of height and BMI in ~250,000 individuals with new GWAS of height and BMI in participants from the UK Biobank (UKB). Our study was based on 456,426 participants of the UK Biobank. Using genotyped and imputed genotypes at ~1.1 million SNPs, we classified these participants as European descents. Our analyses of height and BMI were based on the UKB fields 50-0.0 and 21001-0.0 respectively. Height and BMI were adjusted for age (UKB field 21022-0.0), sex (inferred from genotypes), assessment centre (UKB field 54-0.0), genotyping chip and 10 genotypic principal components (PCs) calculated from 132,102 out of the 147,604 genotyped SNPs pre-selected by the UKB quality control team for PC analysis. The difference is explained by our additional quality control of SNPs (minor allele frequency >0.01, genotype call rate >95% and Hardy Weinberg test P-value > 10-6) applied to a different set of samples as compared to what performed by the UKB quality control team. PCs were calculated using the flashPCA software.1 Author
- Yengo L et al.
1 Application
| Application ID | Title |
|---|---|
| 12514 | The limits of predicting complex traits and diseases from genetic data |
Enabling scientific discoveries that improve human health