Within Family

Within Family

*Picture*

Trøndelag Health Study (HUNT)1,2 invited the entire adult population (≥20 years, ~130,000 participants) of northern Trøndelag to attend clinical examinations and answer questionnaires in four waves from 1984-2019, which includes HUNT1 (1984-1986, n=77,202 participants, 89.4% of invited), HUNT2 (1995-1997, n=65,228 participants, 69.5% of invited), HUNT3 (2006-2008, n=50,800 participants, 54.1% of invited), and HUNT4 (2017-2019, n=56,042 participants, 54.0% of invited). HUNT has possibility to link with all the national registries, providing opportunities to access wide-range of phenotypes.  

About 70% (n=88,000) of participants from HUNT have genotype data. Genotyping, imputation, and quality control of HUNT genetic data have been described in detail elsewhere3.  

Within Family includes parent-offspring relationship data of HUNT participants. The project includes about n=? (n=? genotyped) parent-offspring pairs. The overall aim of Within Family is to use family relation data with robust and novel family design to explore the risk factors and impact of health and conditions in population. 


Parent-offspring 

Parent-offspring 

The parent-offspring data is used to apply novel and robust intergenerational approach to investigate the parent-offspring effects. 


Summary statistics of parent-offspring GWAS on birthweight and cardiometabolic traits 

Bhatta et. al. (2024). Intergenerational genome-wide association analyses to detect parent-offspring effects on birthweight and cardiometabolic outcomes

Bond et. al. (2024). Parental body mass index and offspring cardiovascular risk factors in adulthood: an intergenerational Mendelian randomization study

GWAS

  • Mother GWAS (marginal, conditional) 
  • Father GWAS (marginal, conditional) 
  • Offspring GWAS (marginal, conditional) 
  • Mother GWAS (marginal, conditional) 
  • Father GWAS (marginal, conditional) 
  • Offspring GWAS (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
     
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 


 

  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 

 

  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional)
  • Mother (marginal, conditional) 
  • Father (marginal, conditional) 
  • Offspring (marginal, conditional) 
     

Publications

Publications

Bhatta et. al. (2024). Intergenerational genome-wide association analyses to detect parent-offspring effects on birthweight and cardiometabolic outcomes. 

Bhatta et. al. (2024). Leveraging parental genotypes to understand the effect of maternal glycemic traits on offspring cardiometabolic factors in adulthood: an intergenerational Genome-Wide Association and Mendelian randomization Study.

Bond et. al. (2024). Parental body mass index and offspring cardiovascular risk factors in adulthood: an intergenerational Mendelian randomization study.

References

References

  1. Åsvold, B.O. et al. Cohort Profile Update: The HUNT Study, Norway. Int J Epidemiol (2022)
  2. Krokstad S, et al. Cohort Profile: the HUNT Study, Norway. Int J Epidemiol. (2013)
  3. Brumpton, B.M. et al. The HUNT study: A population-based cohort for genetic research. Cell Genomics 2, 100193 (2022)