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Supplemental Material for Feofanova et al., 2018
dataset
posted on 2018-04-02, 18:17 authored by Elena V. Feofanova, Bing Yu, Ginger A. Metcalf, Xiaoming LiuXiaoming Liu, Donna Muzny, Jennifer E. Below, Lynne E. Wagenknecht, Richard A. Gibbs, Alanna C. Morrison, Eric BoerwinkleFigure S1 shows proportion of single nucleotide
variants by minor allele frequency for sequencing data. Figure S2 contains
Manhattan plots and QQ-plots for the statistically significant replicated
traits. Figure S3 demonstrates distribution of rare variants in EAs and AAs.
Figure S4 pictures predicted levels of FADS1
and FADS2 in skeletal muscle by
rs174564 genotypes in EAs. Table
S1 contains basic characteristics of the 102 lipid-related traits. Common
variants significantly associated with lipid-related traits in EAs, AAs, or in
meta-analysis can be found in Table S2, with sentinel common variant-region
pairs significantly associated in meta-analysis available in Table S3. Association of predicted gene transcription
levels with lipid-related phenotypes in EAs is presented in Table S4. Table S5 contains Whole Genome T5 results significantly
associated in meta-analysis. Rare nonsynonimous exonic variants of SLC10A1 – glycocholate are listed in
Table S6. Table S7 contains regulatory domain T5 results significantly
associated in meta-analysis. Rare variants and conditional analyses for the
regulatory element of CYP3A43 for
3 traits are available in Tables S8 and S9, respectively. Table S10 has
sliding windows T5 results significantly associated in meta-analysis, with rare
variants of the significant and replicated sliding windows listed in Table S11.
Table S12 contains variants used for gene transcription levels
imputation in EAs.