Actually, on the same topic I would also like to announce our new paper in G3.

Navarro N and Maga AM. 2016. Does 3D Phenotyping Yield Substantial Insights in 
the Genetics of the Mouse Mandible Shape?
Available early online at
http://www.g3journal.org/content/early/2016/02/22/g3.115.024372.abstract

We revisit the early investigations of mandible genetics through geometric 
morphometrics and demonstrate the gain-of-information when 3D morphometrics is 
used along with dense landmarking. We also favor a true multivariate analyses 
that uses all phenotypic traits, as oppose to mapping them individually.

The R package for the shape mapping (R/shapeQTL) is available through Dr. 
Nicolas Navarro’s website (http://nnavarro.free.fr/) and also on github. 
(https://github.com/nnavarro/shapeQTL)

Best,
Murat




From: mitte...@univie.ac.at [mailto:mitte...@univie.ac.at]
Sent: Thursday, February 25, 2016 7:40 AM
To: MORPHMET <morphmet@morphometrics.org>
Subject: [MORPHMET] Multivariate Analysis of Genotype-Phenotype Association

I would like to announce a new paper, of which the early view pdf is already 
online.

Mitteroecker P, Cheverud JM, Pavlicev M (2016) Multivariate Analysis of 
Genotype-Phenotype Association. Genetics

http://www.genetics.org/content/early/2016/02/18/genetics.115.181339

It offers an exploratory strategy for mapping multivariate data and is 
particularly suited for geometric morphometrics. The new method identifies 
patterns of allelic variation (genetic latent variables) that are maximally 
associated - in terms of effect size - with patterns of phenotypic variation 
(phenotypic latent variables). It thereby separates phenotypic features under 
strong genetic control from less genetically determined features and thus 
permits an analysis of the multivariate structure of genotype-phenotype 
association, including its "dimensionality" and the clustering of genetic and 
phenotypic variables within this association.

Best,

Philipp Mitteroecker
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