Evidence map›Paper›PMID 32429945›Full record

ArticleBMC medical genomics2020

The diagnostic yield of intellectual disability: combined whole genome low-coverage sequencing and medical exome sequencing.

Jun Wang, Yan Wang, Liwen Wang, Wang Yang Chen, Min Sheng

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 42 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Jun WangDepartment of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics, Beijing, 100020, China. jam1080800004@163.com.ORCID 0000-0002-9385-7446
Yan WangDepartment of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics, Beijing, 100020, China.
Liwen WangDepartment of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics, Beijing, 100020, China.
Wang Yang ChenKaiumph Medical Diagnostics Co,Ltd, Beijing, 100102, China.
Min ShengKaiumph Medical Diagnostics Co,Ltd, Beijing, 100102, China.
Children's Hospital of Capital Institute of Pediatrics · CNDian Diagnostics (China) · CNCapital Institute of Pediatrics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntellectual disability (ID) is a heterogeneous neurodevelopmental disorder with a complex genetic underpinning in its etiology. Chromosome microarray (CMA) is recommended as the first-tier diagnostic test for ID due to high detection rate of copy number variation (CNV).

methodsTo identify an appropriate clinical detection scheme for ID in Han Chinese patients, whole genome low-coverage sequencing was performed as the first-tier diagnostic test, and medical exome sequencing (MES) as the second-tier diagnostic test for patients with negative results of CNVs.

resultsA total of 19 pathogenic CNVs in 16/95(16.84%) ID patients and 10 pathogenic single-nucleotide variations (SNVs), including 6 novel mutations in 8/95(8.42%) ID patients were identified on whom no pathogenic CNVs were discovered. The detection rate of CNVs in ID with multiple congenital anomalies (MCA) subgroup was significantly higher than ID with autism spectrum disorders and other IDs subgroups. And the single-nucleotide variations showed a higher occurrence rate in the other IDs subgroup.

conclusionsThere were differences in the diagnostic yields of different variation types among the three ID subgroups. Our findings provided a new perspective on appropriate clinical detection scheme in different ID subgroups based on statistically significant differences among the three ID subgroups. The application of whole genome low-coverage sequencing as the first-tier diagnostic test for ID with MCA subgroup and MES as the first-tier diagnostic test for other ID subgroup was considered as an efficient clinical detection scheme.

Indexed as

Chromosome AberrationsGene Expression RegulationGenetic MarkersPolymorphism, Single NucleotideCase-Control StudiesChild, PreschoolExomeExome SequencingFemaleGenome, HumanHumansIntellectual DisabilityMaleWhole Genome SequencingGenetic MarkersCopy number variationDetection rateIntellectual disabilityMedical exome sequencingSingle-nucleotide variationsWhole genome low-coverage sequencing

Identifiers

PMID32429945
PMCPMC7236547
OpenAlexW3026649540

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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.