ArticlePhysiological genomics2018
Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population.
Article in Physiological genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Evolutionary history of disease-susceptibility loci identified in longitudinal exome-wide association studies.Molecular genetics & genomic medicine · 2019Trial
- Gut Microbiota-Bile Acid Crosstalk Contributes to Meat Quality and Carcass Traits of Tan and Dorper Sheep.International journal of molecular sciences · 2025Article
- Identification of Heilongjiang crossbred beef cattle pedigrees and reveals functional genes related to economic traits based on whole-genome SNP data.Frontiers in genetics · 2024Article
- Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program.Frontiers in genetics · 2023Article
- Identify known and novel candidate genes associated with backfat thickness in Duroc pigs by large-scale genome-wide association analysis.Journal of animal science · 2022Article
- Comparative population genomic analysis uncovers novel genomic footprints and genes associated with small body size in Chinese pony.BMC genomics · 2020Article
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8 authors.
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Abstract
Recent genome-wide association studies have identified various obesity or metabolic syndrome (MetS) susceptibility loci. However, most studies were conducted in a cross-sectional manner. To address this gap, we performed a longitudinal exome-wide association study to identify susceptibility loci for obesity and MetS in a Japanese population. We traced clinical data of 6,022 Japanese subjects who had annual health check-ups for several years (mean follow-up period, 5 yr) and genotyped ~244,000 genetic variants. The association of single nucleotide polymorphisms (SNPs) with body mass index (BMI) or the prevalence of obesity and MetS was examined in a generalized estimating equation model. Our longitudinal exome-wide association studies detected 21 BMI- and five MetS-associated SNPs (false discovery rate, FDR <0.01). Among these SNPs, 16 have not been previously implicated as determinants of BMI or MetS. Cross-sectional data for obesity- and MetS-related phenotypes in 7,285 Japanese subjects were examined in a replication study. Among the 16 SNPs, three ( rs9491140 , rs145848316 , and rs7863248 ) were related to BMI in the replication cohort ( P < 0.05). In conclusion, three SNPs [ rs9491140 of NKAIN2 (FDR = 0.003, P = 1.9 × 10
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