Jianjun Gao

Automated quantitative trait locus analysis (AutoQTL)

AutoQTL automates QTL analysis and GWAS by applying machine learning to detect both additive and non-additive genetic effects in genetic data.

Genome-Wide Association Study Finds Multiple Loci Associated with Intraocular Pressure in HS Rats

This study performs a GWAS in HS rats to identify genetic loci associated with intraocular pressure, finding three genome-wide significant loci and five candidate genes, including novel ones.

Exponential increase in QTL detection with increased sample size.

The paper simulates GWAS in rats to show that larger sample sizes lead to an exponential increase in the number of significant loci detected.

The regulatory landscape of multiple brain regions in outbred heterogeneous stock rats

The paper identifies cis-QTLs and eQTLs in HS rats across five brain regions, finds colocalization with human GWAS results, and shows higher eQTL density compared to human data.

Genome-wide association study of open fieldbehavior in outbred heterogeneous stock ratsidentifies multiple loci implicated inpsychiatric disorders

This study identifies 30 genome-wide significant QTLs for open field behaviors in rats, with 13 candidate genes linked to psychiatric disorders in humans.

Genome wide association study in 3,173 outbred rats identifies multiple loci for body weight, adiposity, and fasting glucose

Adapting genotyping-by-sequencing and variant calling for heterogeneous stock rats

The paper adapts genotype-by-sequencing for HS rats to call and impute over 3.7 million SNPs with 99% concordance compared to a genotyping array.

The contribution of parent-to-offspring transmission of telomeres to the heritability of telomere length in humans

The paper estimates the contribution of direct telomere inheritance from parents to offspring to the heritability of leukocyte telomere length in humans.