Estimation of offspring genetic risk scores using parental genotypes.
Adebayo A. AdesomoiD, Tsegaselassie WorkalemahuiD, Matthew B. GivensiD, Mark D. YandelliD, Aaron R. QuinlaniD, Martin Tristani‐FirouziiD, Sarah HeerbothiD, Robert M. SilveriD, Nathan R. BlueiD
Abstract
ObjectiveOur objective was to determine whether genetic risk scores (GRSs) of offspring can be accurately estimated from parental DNA. MethodsWhole genome sequencing data from a cohort of forty-seven multi-generation Utah families were used to extract single nucleotide polymorphism (SNP) data at genetic loci associated with the following traits: birth weight (BW), fasting plasma glucose (FPG), blood pressure (BP), body mass index (BMI), height, and type 2 diabetes (T2D). Offspring GRSs for each trait were estimated from parental single nucleotide polymorphism (SNP) data and compared to actual offspring GRSs. We also assessed offspring GRS estimation using only one parents DNA to simulate scenarios when only one genetic parent is available. The primary outcome was the percent error of parental-derived estimated GRS for each trait. An a priori threshold of 10% error was chosen for estimated GRSs to be considered accurate. ResultsForty-three families with an average of 8.9 {+/-} 1.8 offspring (N = 454 offspring) had parental and offspring SNP data available for GRS calculations. Mean percent errors for estimated offspring GRSs were less than 10% for all traits except for FPG (10.5% {+/-} 8.1%). Percent errors were not significantly different when offspring GRSs were estimated using only one parents DNA whether the missing parent was a father or mother. Mean percent error of GRSs decreased exponentially with increasing SNPs per trait, with diminishing improvement in percent error above 500 SNPs. ConclusionParental genetic risk scores can be used to accurately estimate genetic risk scores of offspring. This proof of concept supports further exploration of parental genetic risk scores as a tool for prenatal fetal genetic risk stratification. StatementsWhats already known about this topic? Genetic risk scoring is a tool to estimate the probability of development traits or conditions with complex, multifactorial inheritance. What does this study add? Offspring genetic risk scores can be accurately estimated using parental DNA. This proof of concept supports further exploration of parental genetic risk scores as a tool for prenatal fetal genetic risk stratification.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Methodological Considerations When Using Polygenic Scores to Explore Parent-Offspring Genetic Nurturing Effects
Melisa Chuong, M.J. Adams, … Andrew Mark McIntosh·Wellcome Open ResearchPeer-reviewed·Jan 6, 2026
- Bias and precision of parameter estimates from models using polygenic scores to estimate environmental and genetic parental influences
Yongkang Kim, Jared V. Balbona, Matthew C. Keller·Behavior GeneticsPeer-reviewed·Dec 10, 2020
- Polygenic risk score based on weight gain trajectories is a strong predictor of childhood obesity
Sarah J. C. Craig, Ana M. Kenney, … Kateryna D. Makova·bioRxiv·Feb 16, 2020
- Within-Family Validation of Polygenic Risk Scores and Complex Trait Prediction
Louis Lello, Timothy G. Raben, Stephen Hsu·Scientific ReportsPeer-reviewed·Aug 6, 2020
- Genetic scores explain variation in birthweight that is not captured by easily measured clinical and anthropometric variables
Maneka Haulder, Alice E. Hughes, … Rachel M. Freathy·BMC PediatricsPeer-reviewed·Aug 25, 2022
- Generalizing Genetic Risk Scores from Europeans to Hispanics/Latinos
Kelsey E. Grinde, Qibin Qi, … Tamar Sofer·Genetic EpidemiologyPeer-reviewed·Oct 15, 2018