Thiago Missfeldt Sanches

The paper replicates the association between St6galnac1 and Paraprevotella abundance in stool samples from non-fasted HS rats, confirming the association across different experimental conditions.

The paper uses Genomic SEM to identify loci underlying locomotor activity in rats, finding 31 loci compared to fewer from other methods.

The paper identifies non-SNP variants as significant regulators of gene expression and addiction-related traits in HS rats using joint cis-eQTL analysis.

This study performs a GWAS on cocaine self-administration in rats, identifying six genome-wide significant loci, including one linked to carboxylesterase genes involved in cocaine metabolism.

The paper identifies host genetic effects on microbiome composition in rats and finds evidence of indirect genetic effects contributing to missing heritability.

This study identifies genomic loci associated with cue-reactivity in rats, linking them to incentive salience and drug abuse-related traits.

This study identifies genetic loci associated with opioid use disorder-related behaviors in rats using a genome-wide association approach and network-based clustering.

The paper describes a cost-effective, high-throughput genotyping method for heterogeneous stock rats using low-coverage sequencing data, achieving high accuracy comparable to high-coverage sequencing.

The paper genotypes Y and mitochondrial chromosomes in heterogeneous stock rats and finds no significant associations with complex traits, except for gene expression on these chromosomes.

This study identifies genetic loci associated with age-related hearing loss in CFW mice using genome-wide association analysis and functional validation.

This study identifies genetic loci associated with delay discounting in Heterogenous Stock rats using GWAS, implicating Slc35f1 and Adgrl3 as potential genes involved in this behavior.

RATTACA uses genotype data from Heterogeneous Stock rats to predict trait values, enabling genetic correlation analysis and experimental design without extensive phenotyping.

The paper evaluates eDNA protocols for Chinook Salmon monitoring, finding a method that balances time, cost, and DNA yield in the San Francisco Estuary.