Abolfazl Doostparast Torshizi
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Explore the profile of Abolfazl Doostparast Torshizi including associated specialties, affiliations and a list of published articles.
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Citations
165
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Recent Articles
1.
Doostparast Torshizi A, Truong D, Hou L, Smets B, Whelan C, Li S
Nat Commun
. 2024 Jul;
15(1):6430.
PMID: 39080267
Parkinson's disease is highly heterogeneous across disease symptoms, clinical manifestations and progression trajectories, hampering the identification of therapeutic targets. Despite knowledge gleaned from genetics analysis, dysregulated proteome mechanisms stemming from...
2.
Doostparast Torshizi A, Wang K
NPJ Syst Biol Appl
. 2022 Sep;
8(1):31.
PMID: 36068227
Autism spectrum disorders (ASD) are a set of complex neurodevelopmental diseases characterized with repetitive behavioral patterns and communication disabilities. Using a systems biology method called MAPSD (Markov Affinity-based Proteogenomic Signal...
3.
Huang L, Fang L, Liu Q, Doostparast Torshizi A, Wang K
Genes Dis
. 2022 Feb;
9(2):479-493.
PMID: 35224162
Huntington's disease (HD) is caused by a CAG repeat expansion in the huntingtin (HTT) gene. Knock-in mice carrying a CAG repeat-expanded will develop HD phenotypes. Previous studies suggested dysregulated molecular...
4.
Doostparast Torshizi A, Duan J, Wang K
NAR Genom Bioinform
. 2021 Jun;
3(2):lqab056.
PMID: 34169279
The importance of cell type-specific gene expression in disease-relevant tissues is increasingly recognized in genetic studies of complex diseases. However, most gene expression studies are conducted on bulk tissues, without...
5.
Doostparast Torshizi A, Ionita-Laza I, Wang K
Front Genet
. 2020 Dec;
11:575928.
PMID: 33343624
Common genetic variants confer susceptibility to a large number of complex brain disorders. Given that such variants predominantly localize in non-coding regions of the human genome, there is a significant...
6.
Doostparast Torshizi A, Duan J, Wang K
Patterns (N Y)
. 2020 Sep;
1(6).
PMID: 32984858
Accumulation of diverse types of omics data on schizophrenia (SCZ) requires a systems approach to model the interplay between genome, transcriptome, and proteome. We introduce Markov affinity-based proteogenomic signal diffusion...
7.
Doostparast Torshizi A, Armoskus C, Zhang H, Forrest M, Zhang S, Souaiaia T, et al.
Sci Adv
. 2019 Sep;
5(9):eaau4139.
PMID: 31535015
Applying tissue-specific deconvolution of transcriptional networks to identify their master regulators (MRs) in neuropsychiatric disorders has been largely unexplored. Here, using two schizophrenia (SCZ) case-control RNA-seq datasets, one on postmortem...
8.
Borgmann-Winter K, Wang K, Bandyopadhyay S, Doostparast Torshizi A, Blair I, Hahn C
Schizophr Res
. 2019 Aug;
217:148-161.
PMID: 31416743
The complex and heterogeneous pathophysiology of schizophrenia can be deconstructed by integration of large-scale datasets encompassing genes through behavioral phenotypes. Genome-wide datasets are now available for genetic, epigenetic and transcriptomic...
9.
Huang G, Chen S, Chen X, Zheng J, Xu Z, Doostparast Torshizi A, et al.
Front Neuroanat
. 2019 Mar;
13:23.
PMID: 30918484
mutations, including deletions, have been associated with autism spectrum disorders (ASD). However, the effects of loss of function on neurodevelopment remain poorly understood. Here we generated human induced pluripotent stem...
10.
Doostparast Torshizi A, Duan J, Wang K
BMC Res Notes
. 2018 Jul;
11(1):489.
PMID: 30016992
Objective: This study aims at identifying master regulators of transcriptional networks in autism spectrum disorders (ASDs). Results: With two sets of independent RNA-Seq data generated on cerebellum from patients with...