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Clinical utility of exome sequencing in individuals with large homozygous regions detected by chromosomal microarray analysis

Overview of attention for article published in BMC Medical Genomics, March 2018
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Clinical utility of exome sequencing in individuals with large homozygous regions detected by chromosomal microarray analysis
Published in
BMC Medical Genomics, March 2018
DOI 10.1186/s12881-018-0555-3
Pubmed ID
Authors

Aparna Prasad, Matthew A. Sdano, Rena J. Vanzo, Patricia A. Mowery-Rushton, Moises A. Serrano, Charles H. Hensel, E. Robert Wassman

Abstract

Chromosomal microarray analysis (CMA) is recommended as the first-tier clinical diagnostic test for individuals with developmental disabilities. In addition to detecting copy number variations, CMA platforms with single nucleotide polymorphism probes can detect large homozygous regions within the genome, which represent potential risk for recessively inherited disorders. To determine the frequency in which pathogenic or likely pathogenic variants can be detected in these regions of homozygosity, we performed whole exome sequencing (WES) in 53 individuals where homozygosity was detected by CMA. These patients were referred to our clinical laboratory for a variety of neurodevelopmental conditions including autism spectrum disorder, developmental delay, epilepsy, intellectual disability and microcephaly. In 11.3% (6/53) of cases, the analysis of homozygous variants revealed pathogenic or likely pathogenic variants in GJB2, TPP1, SLC25A15, TYR, PCCB, and NDUFV2 which are implicated in a variety of diseases. The evaluation of heterozygous variants with autosomal dominant inheritance, compound heterozygotes and variants with X-linked inheritance revealed pathogenic or likely pathogenic variants in PNPLA4, CADM1, HBB, SOS1, SFTPC, OTC and ASMT in 15.1% (8/53) of cases. Two of these patients harbored both homozygous and heterozygous variants relevant to their phenotypes (TPP1 and OTC; GJB2 and ASMT). Our study highlights the clinical utility of WES in individuals whose CMA uncovers homozygosity. Importantly, we show that when the phenotype is complex and homozygosity levels are high, WES can identify a significant number of relevant variants that explain neurodevelopmental phenotypes, and these mutations may lie outside of the regions of homozygosity, suggesting that the appropriate follow up test is WES rather than targeted sequencing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 17%
Student > Master 9 15%
Researcher 7 12%
Student > Ph. D. Student 5 8%
Other 4 7%
Other 9 15%
Unknown 15 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 25%
Medicine and Dentistry 8 14%
Psychology 5 8%
Agricultural and Biological Sciences 4 7%
Neuroscience 3 5%
Other 8 14%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2019.
All research outputs
#6,498,682
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#429
of 2,444 outputs
Outputs of similar age
#106,751
of 348,083 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.