MoBa GWAS summary statistics

Terms of Use for Downloading GWAS Summary Statistics

By downloading GWAS summary statistics from this site, you confirm that you agree to the following terms:

I confirm that: 

1. I comply  with all applicable national and local laws and regulations, as well as institutional policies, governing medical and health research, the processing of health and genetic data, and data protection in the country where the research is conducted.  
2. I will use these GWAS summary statistics only for scientific health-related research in the public interest, in line with the purpose of MoBa.  
3. I will never attempt to identify any participant who contributed to these GWAS summary statistics.  
4. I will not use the GWAS summary statistics to develop or implement methods for reproductive selection of embryos, nor for selection of individuals in contexts such as insurance, employment, or education.  
5. I will not use these GWAS summary statistics in ways that stigmatize or discriminate against individuals or groups.  
6. I will cite the relevant publication(s) specified on this website in any publications that arise directly or indirectly from these GWAS summary statistics.  
7. I accept that these GWAS summary statistics are provided “as is”, without any warranty.  
8. I will not redistribute the downloaded GWAS summary statistics file(s), except to direct scientific collaborators who have agreed to be bound by these same conditions.  

2026

Genome-wide analyses of middle childhood height, sleep duration, depressive symptoms, and educational achievement 

Here we present the summary statistics from exemplar family-based genome-wide association analyses conducted in the Norwegian Mother, Father and Child Cohort Study (MoBa). These analyses use the MoBa trio data to illustrate how genotyped family cohorts can inform studies of health and functioning, and are published in the paper entitled «Family genetic designs in MoBa provide insights into health and functioning» (journal name and link will be added upon publication).  

Genome-wide association analyses were conducted for four offspring phenotypes measured in childhood: height at age 7 years, sleep duration at age 7 years, depressive symptoms at age 8 years, and educational achievement at age 10 years. For each phenotype, we provide summary statistics from two models. The first is a population-based GWAS among offspring with trio data. The second is a trio-based GWAS estimating the association between offspring genotype and phenotype conditional on maternal and paternal genotypes.  

Further information about the measures, analyses and summary statistics file are in the README text file below.  

Files: 

• model06_trios_exam_norm_mqc.basic.gz

• model06_trios_exam_norm_mqc.trios.gz

• model06_trios_height_mqc.basic.gz

• model06_trios_height_mqc.trios.gz

• model06_trios_sleep_hrs_mqc.basic.gz

• model06_trios_sleep_hrs_mqc.trios.gz

• model06_trios_smfq_dep_mqc.basic.gz

• model06_trios_smfq_dep_mqc.trios.gz

• README_moba_trios_gwas_summary_stats_updated.txt

2025

Genome-wide analysis of screen behaviors among adolescents identifies novel loci and overlap with educational attainment and mental disorders 

Here we present the summary statistics from our work on the genetics of screen behaviors in adolescents from the Norwegian Mother, Father, and Child Cohort Study. The results are published in the article: Genome-wide analysis of screen behaviors among adolescents identifies novel loci and overlap with educational attainment and mental disorders (nature.com). 

Screen use was estimated using self-reports from the Q-14year questionnaire. Specifically, adolescents reported how much time they spent on the following screen-based activities per the average weekday: watching movies/series/TV; gaming; sitting/lying down with a screen device (irrespective of activity); communicating with friends on social media. GWASs were conducted using an additive multivariate linear regression model with PLINK2 on a sample of 16,027 unrelated individuals. The first twenty principal components, age, sex, and genotyping batch were used as covariates. The following information is included in the summary statistics: chromosome, position (GRCh37), rsID, effect allele, other allele, beta, standard error, z-score, p-value, sample size, effect allele frequency. 

• q14New 12sep24 PHENO1 TV.gz
• q14New 12sep24_PHENO2 Gaming.gz
• q14New_12sep24_PHENO3_TotalScreen.gz
• q14New_12sep24_PHENO4_SoMe.gz

2024

Genome-wide analyses of neonatal jaundice reveal a marked departure from adult bilirubin metabolism

Here we present the summary statistics 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.

• MoBa-GWAS-jaundice-dads.txt.gz
• MoBa-GWAS-jaundice-fets.txt.gz
• MoBa-GWAS-jaundice-moms.txt.gz

2022

Characterization of the genetic architecture of infant and early childhood BMI

Here we present the summary statistics 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 statistics 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).