Evidence map›Paper›PMID 33144663›Full record

ArticleJournal of human genetics2021

Whole exome sequencing of fetal structural anomalies detected by ultrasonography.

Hiromi Aoi, Takeshi Mizuguchi, Toshifumi Suzuki, Shintaro Makino, Yuka Yamamoto, Jun Takeda, Yojiro Maruyama, Rie Seyama, Shiori Takeuchi, Yuri Uchiyama and 11 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

21 authors at 4 institutions in 1 country.

Hiromi AoiDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Takeshi MizuguchiDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID http://orcid.org/0000-0003-4998-1244
Toshifumi SuzukiDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0515-0481
Shintaro MakinoDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0258-361X
Yuka YamamotoDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Jun TakedaDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Yojiro MaruyamaDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Rie SeyamaDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID http://orcid.org/0000-0001-9522-1268
Shiori TakeuchiDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Yuri UchiyamaDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID http://orcid.org/0000-0002-4540-5277
Yoshiteru AzumaDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kohei HamanakaDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Atsushi FujitaDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Eriko KoshimizuDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Satoko MiyatakeDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Satomi MitsuhashiDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Atsushi TakataDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID http://orcid.org/0000-0002-0928-4586
Noriko MiyakeDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Satoru TakedaDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Atsuo ItakuraDepartment of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan.
Naomichi MatsumotoDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan. naomat@yokohama-cu.ac.jp.ORCID http://orcid.org/0000-0001-9846-6500
Yokohama City University · JPJuntendo University · JPKeiai University · JPYokohama City University Hospital · JP

Funding

Japan Agency for Medical Research and Development (AMED) JP19ek0109280, JP19dm0107090, JP19ek0109301, JP19ek0109348, JP19kk0205001Japan Society for the Promotion of Science London (JSPS London) JP17H01539, JP16H05357, JP16H06254, JP17K16132, JP17K10080, JP17K15630, JP17H06994Ministry of Health, Labour and Welfare (Ministry of Health, Labour and Welfare, Japan) 30-6, 30-7
6 · The paper itself

Abstract

The objective of this study was to evaluate the efficacy of whole exome sequencing (WES) for the genetic diagnosis of cases presenting with fetal structural anomalies detected by ultrasonography. WES was performed on 19 cases with prenatal structural anomalies. Genomic DNA was extracted from umbilical cords or umbilical blood obtained shortly after birth. WES data were analyzed on prenatal phenotypes alone, and the data were re-analyzed after information regarding the postnatal phenotype was obtained. Based solely on the fetal phenotype, pathogenic, or likely pathogenic, single nucleotide variants were identified in 5 of 19 (26.3%) cases. Moreover, we detected trisomy 21 in two cases by WES-based copy number variation analysis. The overall diagnostic rate was 36.8% (7/19). They were all compatible with respective fetal structural anomalies. By referring to postnatal phenotype information, another candidate variant was identified by a postnatal clinical feature that was not detected in prenatal screening. As detailed phenotyping is desirable for better diagnostic rates in WES analysis, we should be aware that fetal phenotype is a useful, but sometimes limited source of information for comprehensive genetic analysis. It is important to amass more data of genotype-phenotype correlations, especially to appropriately assess the validity of WES in prenatal settings.

Indexed as

Exome SequencingUltrasonography, PrenatalAbortion, EugenicAdultCesarean SectionCongenital AbnormalitiesDNADNA Copy Number VariationsDown SyndromeFemaleFetal BloodFetal DeathFetusGestational AgeHumansLeukocytesDNA

Identifiers

PMID33144663
OpenAlexW3096447275

What OpenQuestion holds

Textmetadata
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.