Evidence map›Paper›PMID 36843831›Full record

ArticleCureus2023

Non-syndromic Intellectual Disability: An Experimental In-Depth Exploration of Inheritance Pattern, Phenotypic Presentation, and Genomic Composition.

Qaisar Ali Khan, Rohail Khan, Ravina Verma, Suchi D Shah, Bhavana Vattikuti, Aleena Z Khan, Andia Shahzadi, Parsa Abdi, Michelle Anthony, Christopher S Farkouh and 4 more

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

14 authors.

Qaisar Ali KhanInternal Medicine, Medical Teaching Institution-Khyber Teaching Hospital (MTI-KTH), Peshawar, PAK.
Rohail KhanGeneral Medicine, Shifa College of Medicine, Islamabad, PAK.
Ravina VermaGeneral Medicine, St. George's University, West Indies, GRD.
Suchi D ShahInternal Medicine, Ahmedabad Municipal Corporation Medical Education Trust (AMC MET) Medical College, Ahmedabad, IND.
Bhavana VattikutiInternal Medicine, Cebu Doctors' University College of Medicine, Cebu City, PHL.
Aleena Z KhanGeneral Medicine, Islamabad Medical and Dental College, Islamabad, PAK.
Andia ShahzadiNeurosurgery, Lenox Hill Hospital/Donald and Barbara Zucker School of Medicine, New York City, USA.
Parsa AbdiMedicine, Memorial University of Newfoundland, St. John's, CAN.
Michelle AnthonyPathology, University of Arizona College of Medicine, Tucson, USA.
Christopher S FarkouhGeneral Medicine, Rush Medical College, Chicago, USA.
Matthew FarkouhEmergency Medicine, Ponce Health Sciences University, Ponce, PRI.
Natalia SantiagoGeneral Medicine, Universidad Autónoma de Guadalajara School of Medicine, Guadalajara, MEX.
David ZepedaGeneral Medicine, Rush Medical College, Chicago, USA.
Andrew NunezGeneral Medicine, Rush Medical College, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Intellectual disability (ID), also termed mental retardation (MR), is a neurodevelopmental disorder characterized by an intelligence quotient (IQ) of 70 or below and a deficit in at least two behaviors associated with adaptive functioning. The condition is further classified into syndromic intellectual disability (S-ID) and non-syndromic intellectual disability (NS-ID). This study highlights the genes associated with NS-ID. Objectives A genetic study was performed on two Pakistani families to know the inheritance patterns, clinical phenotypes, and molecular genetics of affected individuals with NS-ID. Methodology Samples were collected from two families: families A and B. All affected individuals in both families were diagnosed by a neurologist. Written informed consent was taken from the affected individuals and guardians before collecting the data and sample. Family A belongs to the Swabi District of Pakistan having four affected individuals, out of whom three were male and one was female. Family B also belongs to the Swabi District of Pakistan having two affected individuals, out of whom one was male and one was female. A total of 10 candidate genes were selected and were further screened by microarray analysis. Results In family A, this analysis identified a region of 9.6 Mb on chromosome 17q11.2-q12 between the single nucleotide polymorphisms (SNPs) rs953527 and rs2680398. The region was genotyped using microsatellite markers to confirm the haplotypes in all family members. Based on the phenotype-genotype relationship, 10 possible candidate genes were selected out of more than 140 genes in this critical region of 9.6 Mb. In family B, homozygosity mapping through microarray identified four homozygous areas of affected individuals: two (27,324,822-59,122,062 and 96,423,252123,656,241) on chromosome 8, one (14,785,224-19,722,760) on chromosome 9, and one (126173647-126215644) on chromosome 11. Conclusion An autosomal recessive pattern was found in the pedigrees of both families A and B. Phenotypically affected individuals showed IQ levels below 70. Three genes, CDK5R1, OMG, and EV12A, were found on chromosome 17q11.2-q12 region of affected individuals in family A with high expression in the frontal cortex of the brain, hippocampus, and spinal cord, respectively. Other regions on chromosomes 8, 9, and 11 as evident from the affected individuals in family B can also contribute to the non-syndromic autosomal recessive intellectual disability (NS-ARID). Further research is needed to find the association of these genes with intelligence and other neuropsychiatric conditions.

Indexed as

autosomal recessivecandidate genesgenetic analysisintellectual disabilitymental health

Identifiers

PMID36843831
PMCPMC9946902

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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.