Genome-wide association study of breakfast skipping links clock regulation with food timing

孟德尔随机化 全基因组关联研究 遗传学 生物 插补(统计学) 单核苷酸多态性 遗传关联 医学 生物信息学 基因 基因型 遗传变异 缺少数据 计算机科学 机器学习
作者
Hassan S Dashti,Jordi Merino,Jacqueline M. Lane,Yuhui Song,Caren E. Smith,Toshiko Tanaka,Nicola M. McKeown,Chandler Tucker,Dianjianyi Sun,Traci M. Bartz,Ruifang Li‐Gao,Hoirun Nisa,Sirimon Reutrakul,Rozenn N. Lemaître,Tahani Alshehri,Renée de Mutsert,Lydia Bazzano,Lü Qi,Kristen L. Knutson,Bruce M. Psaty,Dennis O. Mook‐Kanamori,Vesna Boraska Perica,Marian L. Neuhouser,Frank A.J.L. Scheer,Martin K. Rutter,Marta Garaulet,Richa Saxena
出处
期刊:The American Journal of Clinical Nutrition [Elsevier BV]
卷期号:110 (2): 473-484 被引量:34
标识
DOI:10.1093/ajcn/nqz076
摘要

Little is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits.The aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait.We leveraged the statistical power of the UK Biobank (n = 193,860) to identify genetic variants related to breakfast cereal skipping as a proxy-phenotype for breakfast skipping and applied several in silico approaches to investigate mechanistic functions and links to traits/diseases. Next, we attempted validation of our approach in smaller breakfast skipping GWAS from the TwinUK (n = 2,006) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n = 11,963).In the UK Biobank, we identified 6 independent GWAS variants, including those implicated for caffeine (ARID3B/CYP1A1), carbohydrate metabolism (FGF21), schizophrenia (ZNF804A), and encoding enzymes important for N6-methyladenosine RNA transmethylation (METTL4, YWHAB, and YTHDF3), which regulates the pace of the circadian clock. Expression of identified genes was enriched in the cerebellum. Genome-wide correlation analyses indicated positive correlations with anthropometric traits. Through Mendelian randomization (MR), we observed causal links between genetically determined breakfast skipping and higher body mass index, more depressive symptoms, and smoking. In bidirectional MR, we demonstrated a causal link between being an evening person and skipping breakfast, but not vice versa. We observed association of our signals in an independent breakfast skipping GWAS in another British cohort (P = 0.032), TwinUK, but not in a meta-analysis of non-British cohorts from the CHARGE consortium (P = 0.095).Our proxy-phenotype GWAS identified 6 genetic variants for breakfast skipping, linking clock regulation with food timing and suggesting a possible beneficial role of regular breakfast intake as part of a healthy lifestyle.

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