Evidence map›Paper›PMID 36173927›Full record

ArticleHuman molecular genetics2023

Integration of transcriptome-wide association study with neuronal dysfunction assays provides functional genomics evidence for Parkinson's disease genes.

Jiayang Li, Bismark Kojo Amoh, Emma McCormick, Akash Tarkunde, Katy Fan Zhu, Alma Perez, Megan Mair, Justin Moore, Joshua M Shulman, Ismael Al-Ramahi and 1 more

Abstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
  7. Unlocking Parkinson's disease: the role of microRNAs in regulation, diagnosis, and therapy.Apoptosis : an international journal on programmed cell death · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jiayang LiProgram in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-5526-2302
Bismark Kojo AmohJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Emma McCormickJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Akash TarkundeJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Katy Fan ZhuJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Alma PerezJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Megan MairJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Justin MooreProgram in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.
Joshua M ShulmanJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Ismael Al-RamahiJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Juan BotasProgram in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-5476-5955

Funding

Functional Genomic Dissection of Alzheimer's Disease in Humans and Drosophila ModelsU01AG072439 · NIA · BAYLOR COLLEGE OF MEDICINE · PI BELLEN, HUGO J, BOTAS, JUAN · 2021 to 2025
$8.4M
Functional Dissection of Alzheimer's Disease Networks in Drosophila: from Association to Causal Modulators of Age-Dependent NeurodegerationR01AG057339 · NIA · BAYLOR COLLEGE OF MEDICINE · PI BOTAS, JUAN, LIU, ZHANDONG · 2017 to 2021
$3.8M
Metabolo-Genetic Dissection of GBA and Lysosomal Genes in Parkinson's Disease and Lewy Body DementiaR21AG068961 · NIA · BAYLOR COLLEGE OF MEDICINE · PI SHULMAN, JOSHUA M · 2020 to 2021
$440k
NIA NIH HHS R01 AG057339NIA NIH HHS R21 AG068961NIA NIH HHS U01 AG072439
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have markedly advanced our understanding of the genetics of Parkinson's disease (PD), but they currently do not account for the full heritability of PD. In many cases it is difficult to unambiguously identify a specific gene within each locus because GWAS does not provide functional information on the identified candidate loci. Here we present an integrative approach that combines transcriptome-wide association study (TWAS) with high-throughput neuronal dysfunction analyses in Drosophila to discover and validate candidate PD genes. We identified 160 candidate genes whose misexpression is associated with PD risk via TWAS. Candidates were validated using orthogonal in silico methods and found to be functionally related to PD-associated pathways (i.e. endolysosome). We then mimicked these TWAS-predicted transcriptomic alterations in a Drosophila PD model and discovered that 50 candidates can modulate α-Synuclein(α-Syn)-induced neurodegeneration, allowing us to nominate new genes in previously known PD loci. We also uncovered additional novel PD candidate genes within GWAS suggestive loci (e.g. TTC19, ADORA2B, LZTS3, NRBP1, HN1L), which are also supported by clinical and functional evidence. These findings deepen our understanding of PD, and support applying our integrative approach to other complex trait disorders.

Indexed as

Parkinson DiseaseAnimalsDrosophilaGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsPolymorphism, Single NucleotideTranscriptome

Identifiers

PMID36173927
PMCPMC9896475

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.