Evidence map›Paper›PMID 36846569›Full record

ArticleFrontiers in molecular neuroscience2023

Genome-wide copy number variant screening of Saudi schizophrenia patients reveals larger deletions in cases versus controls.

Mahdi S Abumadini, Kholoud S Al Ghamdi, Abdullah H Alqahtani, Dana K Almedallah, Lauren Callans, Jumanah A Jarad, Cyril Cyrus, Bobby P C Koeleman, Brendan J Keating, Nathan Pankratz and 1 more

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Article in Frontiers in molecular neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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.

Mahdi S AbumadiniDepartment of Psychiatry, King Fahd Hospital of the University, Al-Khobar and College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Kholoud S Al GhamdiDepartment of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Abdullah H AlqahtaniDepartment of Psychiatry, King Fahd Hospital of the University, Al-Khobar and College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Dana K AlmedallahDepartment of Psychiatry, King Fahd Hospital of the University, Al-Khobar and College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Lauren CallansDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, United States.
Jumanah A JaradDepartment of Psychiatry, King Fahd Hospital of the University, Al-Khobar and College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Cyril CyrusDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Bobby P C KoelemanDepartment of Genetics, Division Lab, University Medical Center Utrecht, Utrecht, Netherlands.
Brendan J KeatingDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, United States.
Nathan PankratzDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
Amein K Al-AliDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Genome-wide association studies have discovered common polymorphisms in regions associated with schizophrenia. No genome-wide analyses have been performed in Saudi schizophrenia subjects. Methods: Genome-wide genotyping data from 136 Saudi schizophrenia cases and 97 Saudi controls in addition to 4,625 American were examined for copy number variants (CNVs). A hidden Markov model approach was used to call CNVs. Results: CNVs in schizophrenia cases were twice as large on average than CNVs in controls ( Discussion: Runs of homozygosity (ROHs) were analyzed across the genome to investigate correlation with schizophrenia risk. While rates and sizes of these ROHs were similar in cases and controls, we identified 10 regions where multiple cases had ROHs and controls did not.

Indexed as

CNVgenomewideSaudischizophreniavariant

Identifiers

PMID36846569
PMCPMC9950097

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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.