Journal
Nature Communications
Publication Date
2016
Volume
7
Document Type
Open Access Publication
DOI
10.1038/ncomms13357
Rights and Permissions
Ried, J. S. et al. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nat. Commun. 7, 13357 doi: 10.1038/ncomms13357 (2016).
Recommended Citation
Feitosa, Mary F.; Borecki, Ingrid B.; Rao, Dabeeru; Rice, Treva K.; Sung, Yun Ju; and et al, "A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape." Nature Communications. 7, (2016).
https://digitalcommons.wustl.edu/open_access_pubs/5463
ncomms13357-s1.pdf (2020 kB)
Supplementary Information - Supplementary Figures 1-7, Supplementary Tables 1-5
ncomms13357-s2.xls (71 kB)
Supplementary Data - 1 Association results for 189 GWAS-significant loci.
ncomms13357-s3.xls (166 kB)
Supplementary Data 2 - Transferability of novel loci in other anthropometric GWAS
ncomms13357-s4.xls (37 kB)
Supplementary Data 3 - Phenotype summary statistics of all studies in 1st and 2nd stage analyses.
ncomms13357-s5.xls (141 kB)
Supplementary Data 4 - Genotyping description for all studies in 1st and 2nd stage analyses.
Supplementary Information - Supplementary Figures 1-7, Supplementary Tables 1-5
ncomms13357-s2.xls (71 kB)
Supplementary Data - 1 Association results for 189 GWAS-significant loci.
ncomms13357-s3.xls (166 kB)
Supplementary Data 2 - Transferability of novel loci in other anthropometric GWAS
ncomms13357-s4.xls (37 kB)
Supplementary Data 3 - Phenotype summary statistics of all studies in 1st and 2nd stage analyses.
ncomms13357-s5.xls (141 kB)
Supplementary Data 4 - Genotyping description for all studies in 1st and 2nd stage analyses.
