PMID- 36186443 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230612 IS - 1664-8021 (Print) IS - 1664-8021 (Electronic) IS - 1664-8021 (Linking) VI - 13 DP - 2022 TI - Evaluation and characterization of expression quantitative trait analysis methods in the Hybrid Rat Diversity Panel. PG - 947423 LID - 10.3389/fgene.2022.947423 [doi] LID - 947423 AB - The Hybrid Rat Diversity Panel (HRDP) is a stable and well-characterized set of more than 90 inbred rat strains that can be leveraged for systems genetics approaches to understanding the genetic and genomic variation associated with complex disease. The HRDP exhibits substantial between-strain diversity while retaining substantial within-strain isogenicity, allowing for the precise mapping of genetic variation associated with complex phenotypes and providing statistical power to identify associated variants. In order to robustly identify associated genetic variants, it is important to account for the population structure induced by inbreeding. To this end, we investigate the performance of four plausible approaches towards modeling quantitative traits in the HRDP and quantify their operating characteristics. In particular, we investigate three approaches based on genome-wide mixed model analysis, and one approach based on ordinary least squares linear regression. Towards facilitating study planning and design, we conduct extensive simulations to investigate the power of genetic association analyses in the HRDP, and characterize the impressive attained power. In simulation of eQTL data in the HRDP, we find that a mixed model approach that leverages leave-one-chromosome-out kinship estimation attains the highest power while controlling type I error. CI - Copyright (c) 2022 Pattee, Vanderlinden, Mahaffey, Hoffman, Tabakoff and Saba. FAU - Pattee, Jack AU - Pattee J AD - Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. FAU - Vanderlinden, Lauren A AU - Vanderlinden LA AD - Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. FAU - Mahaffey, Spencer AU - Mahaffey S AD - Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. FAU - Hoffman, Paula AU - Hoffman P AD - Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. AD - Department of Pharmacology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. FAU - Tabakoff, Boris AU - Tabakoff B AD - Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. FAU - Saba, Laura M AU - Saba LM AD - Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States. LA - eng GR - P30 DA044223/DA/NIDA NIH HHS/United States GR - R24 AA013162/AA/NIAAA NIH HHS/United States PT - Journal Article DEP - 20220914 PL - Switzerland TA - Front Genet JT - Frontiers in genetics JID - 101560621 PMC - PMC9515987 OTO - NOTNLM OT - Hybrid Rat Diversity Panel OT - expression quantitative trait loci OT - study design OT - systems genetics OT - transcriptome COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2022/10/04 06:00 MHDA- 2022/10/04 06:01 PMCR- 2022/09/14 CRDT- 2022/10/03 04:34 PHST- 2022/05/18 00:00 [received] PHST- 2022/08/26 00:00 [accepted] PHST- 2022/10/03 04:34 [entrez] PHST- 2022/10/04 06:00 [pubmed] PHST- 2022/10/04 06:01 [medline] PHST- 2022/09/14 00:00 [pmc-release] AID - 947423 [pii] AID - 10.3389/fgene.2022.947423 [doi] PST - epublish SO - Front Genet. 2022 Sep 14;13:947423. doi: 10.3389/fgene.2022.947423. eCollection 2022.