Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies, NeuroImage, vol.53, pp.1135-1146, 2010. ,
Identification of common variants associated with human hippocampal and intracranial volumes, Nat Genet, vol.44, pp.552-561, 2012. ,
URL : https://hal.archives-ouvertes.fr/pasteur-01967151
Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies, Twin Res Hum Genet, vol.15, pp.351-371, 2012. ,
Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings, NeuroImage, vol.52, pp.455-469, 2010. ,
Neuroanatomy of autism, Trends Neurosci, vol.31, pp.137-145, 2008. ,
DOI : 10.1016/j.tins.2007.12.005
Brain volume in first-episode schizophrenia: Systematic review and meta-analysis of magnetic resonance imaging studies, Br J Psychiatry, vol.188, pp.510-518, 2012. ,
Common variants at 12q14 and 12q24 are associated with hippocampal volume, Nat Genet, vol.44, pp.545-551, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01157821
Common variants at 6q22 and 17q21 are associated with intracranial volume, Nat Genet, vol.44, pp.539-544, 2012. ,
DOI : 10.1038/ng0612-732c
URL : https://www.nature.com/articles/ng0612-732c.pdf
Common SNPs explain a large proportion of the heritability for human height, Nat Genet, vol.42, pp.565-569, 2010. ,
Genome partitioning of genetic variation for complex traits using common SNPs, Nat Genet, vol.43, pp.519-525, 2011. ,
The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology, Mol Psychiatry, vol.15, pp.1128-1139, 2010. ,
Improved optimization for the robust and accurate linear registration and motion correction of brain images, NeuroImage, vol.17, pp.825-841, 2002. ,
Advances in functional and structural MR image analysis and implementation as FSL, NeuroImage, vol.23, issue.1, pp.208-219, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.051
URL : http://www.fmrib.ox.ac.uk/analysis/techrep/tr04ss2/tr04ss2.pdf
A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume, NeuroImage, vol.23, pp.724-738, 2004. ,
AFNI: software for analysis and visualization of functional magnetic resonance neuroimages, Comput Biomed Res, vol.29, pp.162-173, 1996. ,
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm, IEEE Trans Med Imaging, vol.20, pp.45-57, 2001. ,
A Bayesian model of shape and appearance for subcortical brain segmentation, NeuroImage, vol.56, pp.907-922, 2011. ,
PLINK: a tool set for whole-genome association and population-based linkage analyses, Am J Hum Genet, vol.81, pp.559-575, 2007. ,
DOI : 10.1086/519795
URL : https://doi.org/10.1086/519795
Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood, Bioinforma Oxf Engl, vol.28, pp.2540-2542, 2012. ,
A self-administered rating scale for pubertal development, J Adolesc Health Off Publ Soc Adolesc Med, vol.14, pp.190-195, 1993. ,
DOI : 10.1016/1054-139x(93)90004-9
Fast model-based estimation of ancestry in unrelated individuals, Genome Res, vol.19, pp.1655-1664, 2009. ,
, International HapMap Consortium. The International HapMap Project, Nature, vol.426, pp.789-796, 2003.
Principal components analysis corrects for stratification in genome-wide association studies, Nat Genet, vol.38, pp.904-909, 2006. ,
Analysis and application of European genetic substructure using 300K SNP information, PLoS Genet, vol.4, pp.4-4, 2008. ,
Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples, PLoS Genet, vol.10, p.1004269, 2014. ,
Genome-wide association studies establish that human intelligence is highly heritable and polygenic, Mol Psychiatry, vol.16, pp.996-1005, 2011. ,
Accurately assessing the risk of schizophrenia conferred by rare copy-number variation affecting genes with brain function, PLoS Genet, vol.6, p.1001097, 2010. ,
Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs, Nat Genet, vol.44, pp.247-250, 2012. ,
Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study, NeuroImage, vol.49, pp.1213-1223, 2010. ,
Genetic and environmental influences on structural variability of the brain in pediatric twin: deformation based morphometry, Neurosci Lett, vol.493, pp.8-13, 2011. ,
Heritability of subcortical brain measures: a perspective for future genome-wide association studies, NeuroImage, vol.83, pp.98-102, 2013. ,
A polygenic burden of rare disruptive mutations in schizophrenia, Nature, vol.506, pp.185-190, 2014. ,
Explaining additional genetic variation in complex traits, Trends Genet, vol.30, pp.124-132, 2014. ,
No genetic influence for childhood behavior problems from DNA analysis, J Am Acad Child Adolesc Psychiatry, vol.52, pp.1048-1056, 2013. ,
Copy-number variations associated with neuropsychiatric conditions, Nature, vol.455, pp.919-923, 2008. ,
Group of the Psychiatric Genomics Consortium. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs, Nat Genet, vol.45, pp.984-994, 2013. ,
Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis, Hum Mol Genet, vol.22, pp.832-841, 2013. ,
Common genetic variants, acting additively, are a major source of risk for autism, Mol Autism, vol.3, p.9, 2012. ,
Estimation of effect size distribution from genome-wide association studies and implications for future discoveries, Nat Genet, vol.42, pp.570-575, 2010. ,
Intermediate phenotypes and genetic mechanisms of psychiatric disorders, Nat Rev Neurosci, vol.7, pp.818-827, 2006. ,