Gene expression elucidates functional impact of polygenic risk for schizophrenia

M Fromer, P Roussos, SK Sieberts, JS Johnson… - Nature …, 2016 - nature.com
Over 100 genetic loci harbor schizophrenia-associated variants, yet how these variants
confer liability is uncertain. The CommonMind Consortium sequenced RNA from …

[HTML][HTML] Design and computational analysis of single-cell RNA-sequencing experiments

R Bacher, C Kendziorski - Genome biology, 2016 - Springer
Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows
us to address scientific questions that eluded examination just a few years ago. With the …

State of the aRt personality research: A tutorial on network analysis of personality data in R

G Costantini, S Epskamp, D Borsboom… - Journal of Research in …, 2015 - Elsevier
Network analysis represents a novel theoretical approach to personality. Network
approaches motivate alternative ways of analyzing data, and suggest new ways of modeling …

[HTML][HTML] Oxytocin pathway gene networks in the human brain

DS Quintana, J Rokicki, D van der Meer… - Nature …, 2019 - nature.com
Oxytocin is a neuropeptide involved in animal and human reproductive and social behavior.
Three oxytocin signaling genes have been frequently implicated in human social behavior …

Transcriptional landscape of the prenatal human brain

JA Miller, SL Ding, SM Sunkin, KA Smith, L Ng… - Nature, 2014 - nature.com
The anatomical and functional architecture of the human brain is mainly determined by
prenatal transcriptional processes. We describe an anatomically comprehensive atlas of the …

Changes in structural and functional connectivity among resting-state networks across the human lifespan

RF Betzel, L Byrge, Y He, J Goñi, XN Zuo, O Sporns - Neuroimage, 2014 - Elsevier
At rest, the brain's sensorimotor and higher cognitive systems engage in organized patterns
of correlated activity forming resting-state networks. An important empirical question is how …

[HTML][HTML] How well do network models predict observations? On the importance of predictability in network models

JMB Haslbeck, LJ Waldorp - Behavior research methods, 2018 - Springer
Network models are an increasingly popular way to abstract complex psychological
phenomena. While studying the structure of network models has led to many important …

[HTML][HTML] Transformative network modeling of multi-omics data reveals detailed circuits, key regulators, and potential therapeutics for Alzheimer's disease

M Wang, A Li, M Sekiya, ND Beckmann, X Quan… - Neuron, 2021 - cell.com
To identify the molecular mechanisms and novel therapeutic targets of late-onset
Alzheimer's Disease (LOAD), we performed an integrative network analysis of multi-omics …

Correlated gene expression supports synchronous activity in brain networks

J Richiardi, A Altmann, AC Milazzo, C Chang… - Science, 2015 - science.org
During rest, brain activity is synchronized between different regions widely distributed
throughout the brain, forming functional networks. However, the molecular mechanisms …

[HTML][HTML] Modeling gene× environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression

C Seah, MS Breen, T Rusielewicz, HN Bader… - Nature …, 2022 - nature.com
Post-traumatic stress disorder (PTSD) can develop following severe trauma, but the extent to
which genetic and environmental risk factors contribute to individual clinical outcomes is …