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P

P.F. Sullivan

Researcher at University of North Carolina at Chapel Hill

Publications -  28
Citations -  929

P.F. Sullivan is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 14, co-authored 27 publications receiving 798 citations. Previous affiliations of P.F. Sullivan include Karolinska Institutet.

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Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions.

Solveig K. Sieberts, +100 more
- 12 Oct 2020 - 
TL;DR: A colocalization analysis is applied to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalized with lncRNA RP11-677M14.
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Stitching the synapse: Cross-linking mass spectrometry into resolving synaptic protein interactions

TL;DR: This work made use of recent advances in cross-linking mass spectrometry (XL-MS) in combination with biochemical and computational approaches to reveal the architecture and assembly of synaptic protein complexes from mouse brain hippocampus and cerebellum.
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Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility

Ming Li, +57 more
- 01 Apr 2014 - 
TL;DR: The results suggest that differential population histories due to natural selection on regional populations may lead to genetic heterogeneity of susceptibility to complex diseases, such as BD, and explain inconsistencies in detecting the genetic markers of these diseases among different ethnic populations.
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The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects.

Wouter J. Peyrot, +324 more
- 26 Jun 2015 - 
TL;DR: An association of lower EA and MDD risk is confirmed, but this association was not because of measurable pleiotropic genetic effects, which suggests that environmental factors could be involved, for example, socioeconomic status.