Skip to main content
. 2019 Jun 13;110(2):473–484. doi: 10.1093/ajcn/nqz076

TABLE 1.

Top signals (P < 5 × 10−8) from the UK Biobank GWAS of breakfast skipping in participants of European ancestry (n = 193,860)1

SNP Chr:position Nearest gene(s) Alleles (E/A) EAF Info β SE P value
rs8097544 18:1,839,564 METTL4 G/A 0.146 0.98 0.0326 0.0038 1.80 × 10–17
rs35107470 15:74,817,689 ARID3B G/A 0.324 0.94 0.0185 0.0030 3.50 × 10–10
rs12693399 2:185,757,011 ZNF804A A/T 0.218 1.00 0.0186 0.0033 1.20 × 10–8
rs637174 19:49,266,936 FGF21 A/G 0.341 0.98 0.0161 0.0029 1.80 × 10–8
rs6017427 20:43,467,380 RIMS4/YWHAB A/G 0.142 0.99 0.0214 0.0039 3.10 × 10–8
rs6986473 8:64,487,672 YTHDF3 T/C 0.773 1.00 0.0175 0.0032 4.20 × 10–8
1

The GWAS was performed in related participants of European ancestry with the use of BOLT-LMM linear mixed models and an additive genetic model adjusted for age, sex, 10 principal components of ancestry, genotyping array and genetic correlation matrix. Nearest genes are within the locus of interest. β (SE) estimates are per each additional effect allele. Positive β reflects higher breakfast skipping. Chr, chromosome; E/A, effect/alternative alleles; EAF, effect allele frequency; GWAS, genome-wide association study; Info, imputation quality score; position, base pair coordinate hg19; SNP, single nucleotide polymorphism.