MoBa GWAS summary data
Article
|Updated
Summary data from published genome-wide association studies (GWAS) in the Norwegian Mother, Father and Child Cohort Study (MoBa).
2024
Genome-wide analyses of neonatal jaundice reveal a marked departure from adult bilirubin metabolism
Here we present the summary data from our discovery work on the genetics of neonatal jaundice in the Norwegian Mother, Father and Child Cohort Study. The results are published in "Genome-wide analyses of neonatal jaundice reveal a marked departure from adult bilirubin metabolism".
Summary statistics are from three discovery genome-wide association studies in mothers, fathers and neonates from the Norwegian Mother, Father and Child Cohort Study. Neonatal jaundice was defined as the use of phototherapy to treat jaundice. The association between each genetic variant and neonatal jaundice was tested with a logistic regression using REGENIE with adjustment for sex, genotyping batch and ten principal components as covariates. The following information is included in the summary statistics: chromosome, base pair (hg19), non-effect allele, effect allele, effect allele frequency, imputation info score, sample size, effect size, standard error, negative log10 P-value, ID as chromosome:position:non-effect allele:effect allele, rsid and nearest protein coding gene.
2022
Characterization of the genetic architecture of infant and early childhood BMI
Here we present the summary data of the discovery phase for our genome-wide analyses of body mass index (BMI) in the Norwegian Mother, Father and Child Cohort Study.
The results are published in the article: Characterization of the genetic architecture of infant and early childhood body mass index.
Results are from the genome-wide association analyses at each of the twelve distinct time points; birth, 6 weeks, 3 months, 6 months, 8 months, 1 year, 1.5 years, 2 years, 3 years, 5 years, 7 years and 8 years can be downloaded below (see paper for full details).
All BMI measures were z-score transformed prior to analysis. The association between each genetic variant and BMI was tested using linear mixed model regression analyses with adjustment for sex, gestational age, genotyping batch and ten principal components as covariates. Summary files contain information on rsID of marker, chromosome, genomic position (NCBI build 37), effect allele, other allele, effect allele frequency, imputation quality (info-score), beta, standard error, p-value, and samples size on approximately 9.2 million markers at each time point
Summary data from the study:
- childhood_bmi_nature_metab_2022_birth.gz
- childhood_bmi_nature_metab_2022_6weeks.gz
- childhood_bmi_nature_metab_2022_3months.gz
- childhood_bmi_nature_metab_2022_6months.gz
- childhood_bmi_nature_metab_2022_8months.gz
- childhood_bmi_nature_metab_2022_1year.gz
- childhood_bmi_nature_metab_2022_1.5years.gz
- childhood_bmi_nature_metab_2022_2years.gz
- childhood_bmi_nature_metab_2022_3years.gz
- childhood_bmi_nature_metab_2022_5years.gz
- childhood_bmi_nature_metab_2022_7years.gz
- childhood_bmi_nature_metab_2022_8years.gz
2019
Novel Tools for Early Childhood Predisposition to Obesity and Diabetes (ERC AdG - HARVEST)
Here we present the summary data of the discovery phase for our genome-wide analyses of body mass index (BMI) in the Norwegian Mother, Father and Child Cohort Study.
The results are published in the article: Helgeland, Ø. et al. Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth. Nat. Commun. 10, 4448 (2019).
Results are from the genome-wide association analyses at each of the twelve distinct time points; birth, 6 weeks, 3 months, 6 months, 8 months, 1 year, 1.5 years, 2 years, 3 years, 5 years, 7 years and 8 years can be downloaded below (see paper for full details).
All BMI measures were z-score transformed prior to analysis. The association between each genetic variant and BMI was tested using linear regression with adjustment for sex, batch and ten principal components as covariates. Summary files contain information on rsID of marker, chromosome, genomic position (NCBI build 37), effect allele, other allele, effect allele frequency, beta, standard error, p-value, and samples size on approximately 8.5 million markers at each time point.
Data files
- childhood_bmi_nat_comm_2019_birth.gz
- childhood_bmi_nat_comm_2019_6weeks.gz
- childhood_bmi_nat_comm_2019_3months.gz
- childhood_bmi_nat_comm_2019_6months.gz
- childhood_bmi_nat_comm_2019_8months.gz
- childhood_bmi_nat_comm_2019_1year.gz
- childhood_bmi_nat_comm_2019_1.5years.gz
- childhood_bmi_nat_comm_2019_2years.gz
- childhood_bmi_nat_comm_2019_3years.gz
- childhood_bmi_nat_comm_2019_5years.gz
- childhood_bmi_nat_comm_2019_7years.gz
- childhood_bmi_nat_comm_2019_8years.gz
Acknowledging the data
When using data from the downloadable meta-analyses results please acknowledge the source of the data as follows:
Results on BMI from birth to childhood have been contributed by the Centre For Diabetes Research, University of Bergen, Norway, and the Norwegian Mother, Father and Child study, and has been downloaded from: https://www.fhi.no/en/studies/moba/for-forskere-artikler/gwas-data-from-moba/
Please cite the article as follows:
Helgeland, Ø. et al. Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth. Nat. Commun. 10, 4448 (2019).