scinapse is loading now...
Elliot M. Tucker-Drob
University of Texas at Austin
132Publications
27H-index
2,578Citations
Publications 132
Newest
Published on May 24, 2019in bioRxiv
Colin R. Buchanan3
Estimated H-index: 3
(University of Edinburgh),
Mark E. Bastin49
Estimated H-index: 49
(University of Edinburgh)
+ 5 AuthorsSimon R. Cox17
Estimated H-index: 17
(University of Edinburgh)
Whole-brain structural networks can be constructed using diffusion MRI and probabilistic tractography. However, measurement noise and the probabilistic nature of the tracking procedure result in an unknown proportion of spurious white matter connections. Faithful disentanglement of spurious and genuine connections is hindered by a lack of comprehensive anatomical information at the network-level. Therefore, network thresholding methods are widely used to remove ostensibly false connections, but ...
Source Cite
Published on May 9, 2019in European Journal of Personality 3.49
Anqing Zheng1
Estimated H-index: 1
(University of Illinois at Urbana–Champaign),
Daniel Andrew Briley14
Estimated H-index: 14
(University of Illinois at Urbana–Champaign)
+ 3 AuthorsElliot M. Tucker-Drob27
Estimated H-index: 27
Source Cite
Published on May 6, 2019in Clinical psychological science
James W. Madole1
Estimated H-index: 1
(University of Texas at Austin),
Mijke Rhe19
Estimated H-index: 19
(University of California, Davis)
+ 2 AuthorsK. Paige Harden27
Estimated H-index: 27
(University of Texas at Austin)
Comorbidity is pervasive across psychopathological symptoms, diagnoses, and domains. Network analysis is a method for investigating symptom-level associations that underlie comorbidity, particularly through bridge symptoms connecting diagnostic syndromes. We applied network analyses of comorbidity to data from a population-based sample of adolescents (N = 849). We implemented a method for assessing nonparametric moderation of psychopathology networks to evaluate differences in network structure ...
Source Cite
Published on May 1, 2019in Psychological Science 6.13
Anqing Zheng1
Estimated H-index: 1
(University of Illinois at Urbana–Champaign),
Elliot M. Tucker-Drob27
Estimated H-index: 27
(University of Texas at Austin),
Daniel Andrew Briley14
Estimated H-index: 14
(University of Illinois at Urbana–Champaign)
We replicated the study by Tucker-Drob, Cheung, and Briley (2014), who found that the association between science interest and science knowledge depended on economic resources at the family, school, and national levels, using data from the 2006 Programme for International Student Assessment (PISA). In more economically prosperous families, schools, and nations, student interest was more strongly correlated with actual knowledge. Here, we investigated whether these results still held despite subs...
Source Cite
Published on May 1, 2019in Nature Human Behaviour
Andrew D. Grotzinger5
Estimated H-index: 5
(University of Texas at Austin),
Mijke Rhe19
Estimated H-index: 19
(University of California, Davis)
+ 11 AuthorsIan J. Deary121
Estimated H-index: 121
(University of Edinburgh)
Genetic correlations estimated from genome-wide association studies (GWASs) reveal pervasive pleiotropy across a wide variety of phenotypes. We introduce genomic structural equation modelling (genomic SEM): a multivariate method for analysing the joint genetic architecture of complex traits. Genomic SEM synthesizes genetic correlations and single-nucleotide polymorphism heritabilities inferred from GWAS summary statistics of individual traits from samples with varying and unknown degrees of over...
1 Citations Source Cite
Published on May 1, 2019in Clinical psychological science
Andrew D. Grotzinger5
Estimated H-index: 5
(University of Texas at Austin),
Amanda K. Cheung4
Estimated H-index: 4
(University of Texas at Austin)
+ 2 AuthorsElliot M. Tucker-Drob27
Estimated H-index: 27
(University of Texas at Austin)
In adults, psychiatric disorders are highly comorbid and are negatively associated with cognitive abilities. Individual cognitive measures have been linked with domains of child psychopathology, but the specificity of these associations and the extent to which they reflect shared genetic influences are unknown. In this study we examined the relationship between general factors of cognitive ability (g) and psychopathology (p) in early development using two genetically informative samples: the Tex...
Source Cite
Connor M. Sheehan7
Estimated H-index: 7
(University of Texas at Austin),
Elliot M. Tucker-Drob27
Estimated H-index: 27
(University of Texas at Austin)
3 Citations Source Cite
Published on Apr 9, 2019in bioRxiv
Travis T. Mallard3
Estimated H-index: 3
(University of Texas at Austin),
R. Karlsson Linner1
Estimated H-index: 1
(VU University Amsterdam)
+ 8 AuthorsPhilipp Koellinger23
Estimated H-index: 23
(VU University Amsterdam)
A single dimension of general psychopathology, p , has been hypothesized to represent a general liability that spans multiple types of psychiatric disorders and non-clinical variation in psychiatric symptoms across the lifespan. We conducted genome-wide association analyses of lifetime symptoms of mania, psychosis, irritability in 124,952 to 208,315 individuals from UK Biobank, and then applied Genomic SEM to model the genetic relationships between these psychiatric symptoms and clinically-defin...
Source Cite
Published on Apr 9, 2019in bioRxiv
Ben Michael Brumpton8
Estimated H-index: 8
(Norwegian University of Science and Technology),
Eleanor Sanderson1
Estimated H-index: 1
(Medical Research Council)
+ 27 AuthorsAlexandra Havdahl1
Estimated H-index: 1
(Norwegian Institute of Public Health)
Mendelian randomization (MR) is a widely-used method for causal inference using genetic data. Mendelian randomization studies of unrelated individuals may be susceptible to bias from family structure, for example, through dynastic effects which occur when parental genotypes directly affect offspring phenotypes. Here we describe methods for within-family Mendelian randomization and through simulations show that family-based methods can overcome bias due to dynastic effects. We illustrate these is...
5 Citations Source Cite
12345678910