Abstract

Complex morphological traits are the product of many genes with transient or lasting developmental effects that interact in anatomical context. Mouse models are a key resource for disentangling such effects, because they offer myriad tools for manipulating the genome in a controlled environment. Unfortunately, phenotypic data are often obtained using laboratory-specific protocols, resulting in self-contained datasets that are difficult to relate to one another for larger scale analyses. To enable meta-analyses of morphological variation, particularly in the craniofacial complex and brain, we created MusMorph, a database of standardized mouse morphology data spanning numerous genotypes and developmental stages, including E10.5, E11.5, E14.5, E15.5, E18.5, and adulthood. To standardize data collection, we implemented an atlas-based phenotyping pipeline that combines techniques from image registration …

Date

May 25, 2022

Authors

Jay Devine, Marta Vidal-García, Wei Liu, Amanda Neves, Lucas D Lo Vercio, Rebecca M Green, Heather A Richbourg, Marta Marchini, Colton M Unger, Audrey C Nickle, Bethany Radford, Nathan M Young, Paula N Gonzalez, Robert E Schuler, Alejandro Bugacov, Campbell Rolian, Christopher J Percival, Trevor Williams, Lee Niswander, Anne L Calof, Arthur D Lander, Axel Visel, Frank R Jirik, James M Cheverud, Ophir D Klein, Ramon Y Birnbaum, Amy E Merrill, Rebecca R Ackermann, Daniel Graf, Myriam Hemberger, Wendy Dean, Nils D Forkert, Stephen A Murray, Henrik Westerberg, Ralph S Marcucio, Benedikt Hallgrímsson

Journal

Scientific data

Volume

9

Issue

1

Pages

230

Publisher

Nature Publishing Group UK