Understanding the genetic determinants of the brain with MOSTest

[1]  D. Posthuma,et al.  Phenotypic Complexity, Measurement Bias, and Poor Phenotypic Resolution Contribute to the Missing Heritability Problem in Genetic Association Studies , 2010, PloS one.

[2]  O. Andreassen,et al.  A global overview of pleiotropy and genetic architecture in complex traits , 2019, Nature Genetics.

[3]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[4]  S. Djurovic,et al.  Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation , 2017, Nature Communications.

[5]  M. Stephens.  A Unified Framework for Association Analysis with Multiple Related Phenotypes , 2013, PloS one.

[6]  P. Visscher,et al.  Multi-trait analysis of genome-wide association summary statistics using MTAG , 2017, Nature Genetics.

[7]  P. Matthews,et al.  Multimodal population brain imaging in the UK Biobank prospective epidemiological study , 2016, Nature Neuroscience.

[8]  Terry L. Jernigan,et al.  The Basics of Brain Development , 2010, Neuropsychology Review.

[9]  Conor V. Dolan,et al.  TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies , 2013, PLoS genetics.

[10]  Erdogan Taskesen,et al.  Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.

[11]  Anders M. Dale,et al.  The genetic architecture of the human cerebral cortex , 2020, Science.

[12]  A. Dale,et al.  Hierarchical Genetic Organization of Human Cortical Surface Area , 2012, Science.

[13]  K. Pillai.  Some New Test Criteria in Multivariate Analysis , 1955 .

[14]  O. Andreassen,et al.  Quantifying the Polygenic Architecture of the Human Cerebral Cortex: Extensive Genetic Overlap between Cortical Thickness and Surface Area , 2019, Biological Psychiatry.

[15]  Karolinska Schizophrenia.  Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA consortium , 2018 .

[16]  Manuel A. R. Ferreira,et al.  Genetics and population analysis A multivariate test of association , 2009 .

[17]  P. Donnelly,et al.  The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.

[18]  T Mark Beasley,et al.  Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited? , 2009, Behavior genetics.

[19]  M. Dylan Tisdall,et al.  Quantitative assessment of structural image quality , 2018, NeuroImage.

[20]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[21]  D. Rujescu,et al.  Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate , 2013, PLoS genetics.

[22]  P. Visscher,et al.  Expectation of the intercept from bivariate LD score regression in the presence of population stratification , 2018, bioRxiv.

[23]  Benjamin S Aribisala,et al.  Genetic architecture of subcortical brain structures in 38,851 individuals , 2019, Nature Genetics.

[24]  O. Andreassen,et al.  Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model , 2017, bioRxiv.

[25]  P. O’Reilly,et al.  MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS , 2012, PloS one.

[26]  P. Elliott,et al.  UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.

[27]  Heather F. Porter,et al.  Multivariate simulation framework reveals performance of multi-trait GWAS methods , 2017, Scientific Reports.

[28]  N-DIMENSIONAL CUMULATIVE FUNCTION, AND OTHER USEFUL FACTS ABOUT GAUSSIANS AND NORMAL DENSITIES by Michaël Bensimhoun (reviewed by David Arnon) , 2013 .

[29]  A. Dale,et al.  Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.

[30]  Chong Wu,et al.  Multi-trait Genome-Wide Analyses of the Brain Imaging Phenotypes in UK Biobank , 2019, Genetics.

[31]  Allan R. Jones,et al.  Canonical Genetic Signatures of the Adult Human Brain , 2015, Nature Neuroscience.

[32]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[33]  Paul M. Thompson,et al.  Submission PDF Mapping Cortical Brain Asymmetry in 17 , 141 Healthy Individuals Worldwide via the ENIGMA Consortium , 2018 .