Journal
Nature Communications
Publication Date
2015
Volume
6
Inclusive Pages
5897
Document Type
Open Access Publication
DOI
10.1038/ncomms6897
Rights and Permissions
P. An, et al. 29 January 2015. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature communications. Art. No. 5897. DOI: 10.1038/ncomms6897. http://www.nature.com/ncomms/2015/150105/ncomms6897/full/ncomms6897.html
Recommended Citation
An, Ping; Czajkowski, Jacek; Kraja, Aldi T.; Province, Michael A.; Borecki, Ingrid B.; and et al, "Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility." Nature Communications. 6, 5897. (2015).
https://digitalcommons.wustl.edu/open_access_pubs/4343
Supplementary Figures 1-10, Supplementary Tables 1-22, Supplementary Notes 1-2 and Supplementary References
ncomms6897-s2.xlsx (61 kB)
Study characteristics
ncomms6897-s3.xlsx (21 kB)
Case definitions and sample size stratified by ancestry for all studies contributing to the type 2 diabetes association analyses
ncomms6897-s4.xlsx (25 kB)
Association of significant FG and FI SNVs with T2D in combined ancestry analyses and stratfied by European and African ancestry
ncomms6897-s5.xlsx (34 kB)
Association of GLP1R SNVs from whole exome sequencing with fasting glucose by chromosome position
ncomms6897-s6.xlsx (26 kB)
Single variant association results for rare coding variants (included in gene-based analyses) and common variants at G6PC2 on fasting glucose
ncomms6897-s7.xlsx (25 kB)
Association of G6PC2 SNVs from whole exome sequencing with FG
ncomms6897-s8.xlsx (20 kB)
Protein affecting SNVs at known T2D loci associated with T2D in European and combined ancestry analyses
ncomms6897-s9.xlsx (20 kB)
Protein affecting SNVs at known T2D loci associated with T2D in African ancestry analyses
ncomms6897-s10.xlsx (36 kB)
Association results from FG and FI analyses for previously published index variants and their proxies at FG and FI susceptibility loci
ncomms6897-s11.xlsx (3123 kB)