Anders M. Dale
University of California, San Diego
Genome-wide association studyInternal medicinePathologyMagnetic resonance imagingDiffusion MRISingle-nucleotide polymorphismArtificial intelligencePsychologyNeuroscienceCognitionGenetic associationDiseaseCerebral cortexWhite matterComputer scienceBrain mappingGeneticsAudiologyNeuroimagingMedicineBiology
Publications 852
#1Dennis van der Meer (UM: Maastricht University)H-Index: 20
#2Oleksandr Frei (University of Oslo)H-Index: 19
Last. Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
view all 12 authors...
1 CitationsSource
#1Clare E. Palmer (UCSD: University of California, San Diego)H-Index: 11
#2R. J. Loughnan (UCSD: University of California, San Diego)H-Index: 4
Last. Chun C. Fan (UCSD: University of California, San Diego)H-Index: 8
view all 8 authors...
Abstract ABSTRACT Psychiatric disorders place a huge burden on those affected and their families, as well as society. Nearly all psychiatric disorders have a heritable component and lifetime prevalence rates of several disorders are higher among first degree biological relatives of individuals with a diagnosis. Given that many psychiatric disorders have their onset in adolescence, estimating genetic risk during childhood may identify at-risk individuals for early intervention that can reduce thi...
#1Maren M. Sjaastad Andreassen (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Ana E. Rodríguez-Soto (UCSD: University of California, San Diego)H-Index: 7
Last. Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
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Purpose: Diffusion-weighted magnetic resonance imaging (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between pre-defined benign and malignant breast lesions. However, the ability of DW-MRI to discriminate cancer tissue from all other breast tissues on a voxel-level in a clinical setting is unknown. Here we explore the ability to distinguish breast cancer from healthy breast tissues using signal contributions from the newly developed three-component multi-b-va...
#1Dennis van der Meer (UM: Maastricht University)H-Index: 20
#2Oleksandr Frei (Oslo University Hospital)H-Index: 19
Last. Ole A. Andreassen (Oslo University Hospital)H-Index: 123
view all 11 authors...
The thickness of the cerebral cortical sheet and its surface area are highly heritable traits thought to have largely distinct polygenic architectures. Despite large-scale efforts, the majority of their genetic determinants remain unknown. Our ability to identify causal genetic variants can be improved by employing brain measures that better map onto the biology we seek to understand. Such measures may have fewer variants but with larger effects, that is, lower polygenicity and higher discoverab...
5 CitationsSource
OBJECTIVE Attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. The authors sought to directly compare these disorders using structural brain imaging data from ENIGMA consortium data. METHODS Structural T1-weighted whole-brain MRI data from healthy control subjects (N=5,827) and from patients with ADHD (N=2,271), ASD (N=1,777), and OCD (N=2,323) from 151 cohorts wo...
17 CitationsSource
#1Marte J. Sætra (University of Oslo)H-Index: 2
#2Andreas Våvang Solbrå (University of Oslo)H-Index: 4
Last. Gaute T. Einevoll (NMBU: Norwegian University of Life Sciences)H-Index: 37
view all 6 authors...
Significance: The cerebral metabolic rate of oxygen (CMRO2) is an important indicator of brain function and pathology. Knowledge about its magnitude is also required for proper interpretation of the blood oxygenation level-dependent (BOLD) signal measured with functional MRI. Despite the need for estimating CMRO2, no gold standard exists. Traditionally, the estimation of CMRO2 has been pursued with somewhat indirect approaches combining several different types of measurements with mathematical m...
#1Michael V. Lombardo (IIT: Istituto Italiano di Tecnologia)H-Index: 56
#2Lisa T. Eyler (UCSD: University of California, San Diego)H-Index: 47
Last. Eric Courchesne (UCSD: University of California, San Diego)H-Index: 116
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Cortical regional identities develop through anterior-posterior (A-P) and dorsal-ventral (D-V) prenatal genomic patterning gradients. Here we find that A-P and D-V genomic patterning of cortical surface area (SA) and thickness (CT) is intact in typically developing and autistic toddlers with good language outcome, but is absent in autistic toddlers with poor early language outcome. Genes driving this effect are prominent in midgestational A-P and D-V gene expression gradients and prenatal cell t...
1 CitationsSource
#1Roshan KarunamuniH-Index: 15
Last. Tyler M. SeibertH-Index: 18
view all 7 authors...
1 CitationsSource
#1Dominic Holland (UCSD: University of California, San Diego)H-Index: 49
#1Dominic Holland (UCSD: University of California, San Diego)H-Index: 4
Last. Anders M. DaleH-Index: 166
view all 8 authors...
We propose an extended Gaussian mixture model for the distribution of causal effects of common single nucleotide polymorphisms (SNPs) for human complex phenotypes, taking into account linkage disequilibrium (LD) and heterozygosity (H), while also allowing for independent components for small and large effects. Using a precise methodology showing how genome-wide association studies (GWAS) summary statistics (z-scores) arise through LD with underlying causal SNPs, we applied the model to multiple ...
#1Dennis van der Meer (University of Oslo)H-Index: 20
#2Alexey A. Shadrin (University of Oslo)H-Index: 12
Last. Tobias Kaufmann (University of Oslo)H-Index: 35
view all 17 authors...
Schizophrenia is a complex, polygenic disorder associated with subtle, distributed abnormalities in brain morphology. Here, we report large genetic overlap between schizophrenia and brain morphology, which enabled derivation of polygenic risk scores more predictive of schizophrenia diagnosis than the current state-of-the-art. Our results illustrate the potential of exploiting genetic overlap in imaging genetics studies, and how pleiotropy-enriched risk scores may improve prediction of polygenic ...