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Heritability of the Mouse Brain Connectome

Authors :
Joshua T. Vogelstein
Youngser Park
Nian Wang
Robert W. Williams
Carey E. Priebe
Yi Qi
Robert J. Anderson
David G. Ashbrook
G. Allan Johnson
Vivek Gopalakrishnan
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

SUMMARYGenome-wide association studies have demonstrated significant links between human brain structure and common DNA variants. Similar studies with rodents have been challenging because of smaller brain volumes. Using high field MRI (9.4T) and compressed sensing, we have achieved microscopic resolution and sufficiently high throughput for rodent population studies. We generated whole brain structural MRI and diffusion connectomes for four diverse isogenic lines of mice (C57BL/6J, DBA/2J, CAST/EiJ, and BTBR) at spatial resolution 20,000 times higher than human connectomes. We derived volumes, scalar diffusion metrics, and estimates of residual technical error for 166 regions in each hemisphere and connectivity between the regions. Volumes of discrete brain regions had the highest mean heritability (0.71 ± 0.23 SD, n = 332), followed by fractional anisotropy (0.54 ± 0.26), radial diffusivity (0.34 ± 0.022), and axial diffusivity (0.28 ± 0.19). Connection profiles were statistically different in 280 of 322 nodes across all four strains. Nearly 150 of the connection profiles were statistically different between the C57BL/6J, DBA/2J, and CAST/EiJ lines.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....b961b1d3a409d69afcb5cdfbe162885c