Estimation of offspring genetic risk scores using parental genotypes

• DOI: 10.1101/2022.06.09.22276224
• Publication Date: 2022-06-14T21:40:11Z
• Authors: Adebayo Adesomo; Tsegaselassie Wor...; Matthew Givens; Mark Yandell; Aaron Quinlan; Martin Tristani-F...; Sarah Heerboth; Robert Silver; Nathan Blue
• Keywords: Trait; SNP

Abstract Objective Our objective was to determine whether genetic risk scores (GRSs) of offspring can be accurately estimated from parental DNA. Methods Whole genome sequencing data a cohort forty-seven multi-generation Utah families were used extract single nucleotide polymorphism (SNP) at 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 compared actual GRSs. We also assessed GRS estimation using only one parent’s DNA simulate scenarios when parent is available. The primary outcome percent error parental-derived trait. An priori threshold 10% chosen considered accurate. Results Forty-three an average 8.9 ± 1.8 (N = 454 offspring) had SNP available calculations. Mean errors less than all traits except FPG (10.5% 8.1%). Percent not significantly different missing father or mother. decreased exponentially increasing SNPs per trait, diminishing improvement in above 500 SNPs. Conclusion Parental estimate offspring. This proof concept supports further exploration as tool prenatal fetal stratification. Statements What’s already known about this topic? Genetic scoring probability development conditions complex, multifactorial inheritance. What does study add?