NBDC Research ID: hum0167.v1

 

SUMMARY

Aims: To clarify the susceptibility genetic loci for serum uric acid (SUA) level

Methods: GWAS meta analysis

Participants/Materials: Participants of 3 Japanese cohorts (the Japan Multi-Institutional Collaborative Cohort [J-MICC] study, the KIta Nagoya Genomic epidemiological studies [KING] study, and the Bio Bank Japan [BBJ] study)

 

Dataset IDType of DataCriteriaRelease Date
hum0167.v1.meta.v1 meta analysis of 3 GWASs for SUA level Unrestricted-access 2019/07/23

*Release Note

*When the research results including the data which were downloaded from NHA/DRA, are published or presented somewhere, the data user must refer the papers which are related to the data, or include in the acknowledgment. Learn more

 

MOLECULAR DATA

hum0167.v1.meta.v1

Participants/Materials

[GWAS-1]

   - J-MICC study: 10,621 participants

[GWAS-2]

   - KING study: 2,095 participants

[GWAS-3]

   - BBJ: 109,029 participants

Targets genome wide SNVs
Target Loci for Capture Methods -
Platform Illumina [HumanOmniExpressExome-8, 660W-Quad, Omni2.5-8, OmniExpress-12, OmniExpress-24, HumanOmniExpressExome, HumanOmniExpress, HumanExome BeadChip]
Source gDNA extracted from peripheral blood cells
Cell Lines -
Reagents (Kit, Version) HumanOmniExpressExome-8, 660W-Quad, Omni2.5-8, OmniExpress-12, OmniExpress-24, HumanOmniExpressExome, HumanOmniExpress, HumanExome BeadChip kit
Genotype Call Methods (software)

SHAPEIT3 & minimac3 (1000G phase3v5; individuals of all ancestry) / MACH & minimac (1000G phase1v3; individuals of East Asian ancestry)

GenomeStudio / BeadStudio

Association Analysis (software)

EPACTS / mach2qtl

METAL

Filtering Methods Post-imputation QC: Variants with imputation quality of Rsq < 0.7 in BBJ or Rsq < 0.3 in others were excluded. We also excluded variants with MAF < 0.005.
Marker Number (after QC) 5,864,938 SNPs (hg19)
NBDC Dataset ID

hum0167.v1.meta.v1

(Click the Dataset ID to download the file)

Dictionary file

Total Data Volume 80 MB (tsv.zip)
Comments (Policies) NBDC policy

 

DATA PROVIDER

Principal Investigator: Hirotaka Matsuo

Affiliation: Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College

Project / Group Name:

Funds / Grants (Research Project Number):

NameTitleProject Number
KAKENHI Grant-in-Aid for Scientific Research (B) Investigation of pathophysiology of gout by molecular genetic epidemiological analysis and application to genome-tailored medicine 25293145
KAKENHI Grant-in-Aid for challenging Exploratory Research Evaluation of urate excretion mechanism at human intestinal epithelium using molecular genetic epidemiological analysis 15K15227
KAKENHI Grant-in-Aid for Scientific Research (B) Organization of International consortium for gout genetics and development of its preventive medicine 17H04128
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area) Scientific Support Programs for Cancer Research Grant-in-Aid for Scientific Research on Innovative Areas Study on supports for molecular cohort studies 221S0001
KAKENHI Grant-in-Aid for Scientific Research on Priority Areas Study on supports for molecular cohort studies 17015018
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas ― Platforms for Advanced Technologies and Research Resources Platform of Supporting Cohort Study and Biospecimen Analysis 16H06277
KAKENHI Grant-in-Aid for Scientific Research (B) Prediction of the genetic and epigenetic risk associated with lifestyle-relatied diseases in the population-based confirmatory factor analysis 24390169
KAKENHI Grant-in-Aid for Scientific Research (B) Prediction of the genetic and epigenetic risks associated with lifestyle-related diseases in the population-based confirmatory factor analysis 16H05250
KAKENHI Grant-in-Aid for Scientific Research (B) Construction of an epigenetic epidemiology database for a population cohort 25293144
KAKENHI Grant-in-Aid for Young Scientists (B) Elucidation of adiponectin expression pathway based on the co-expression network and epigenome data analysis 15K19242
KAKENHI Grant-in-Aid for Scientific Research (C) Elucidation of the significance of DNA methylation at the ELOVL2 promoter for the proposal of new metabolic correlations 18K06942

 

PUBLICATIONS

TitleDOIDataset ID
1 Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals doi: 10.1038/s42003-019-0339-0 hum0167.v1.meta.v1
2