Evidence map›Paper›PMID 35416301›Full record

ReviewPrenatal diagnosis2022

Emerging technologies for prenatal diagnosis: The application of whole genome and RNA sequencing.

Pengfei Liu, Liesbeth Vossaert

Open access · greenAbstract readReview
In one paragraph

Review in Prenatal diagnosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.2field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 1 institution in 1 country.

Pengfei LiuBaylor College of Medicine and Baylor Genetics, Houston, Texas, USA.ORCID 0000-0002-4177-709X
Liesbeth VossaertBaylor College of Medicine and Baylor Genetics, Houston, Texas, USA.ORCID 0000-0002-8888-8563
Baylor College of Medicine · US

Funding

Prenatal Genetic Diagnosis by Genomic Sequencing: A Prospective EvaluationR01HD055651 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, Vaidehi Jobanputra · 2007 to 2026
$16.5M
Characterizing disease-causing variants using personal genomes with large recurrent deletionsR35HG011311 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI LIU, PENGFEI · 2021 to 2025
$2.3M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD055651NHGRI NIH HHS R35 HG011311NHGRI NIH HHS R35HG011311NICHD NIH HHS R01 HD055651
6 · The paper itself

Abstract

DNA sequencing technologies for clinical genetic testing have been rapidly evolving in recent years, and steadily become more important within the field of prenatal diagnostics. This review aims to give an overview of recent developments and to describe how they have the potential to fill the gaps of the currently clinically implemented methods for prenatal diagnosis of various genetic disorders. It has been shown for postnatal testing that whole genome sequencing provides a set of added benefits compared to exome sequencing, and it is to be expected that this will be the case for prenatal testing as well. RNA-sequencing, already used postnatally, can provide valuable complementary data to DNA-based testing, and aid in variant interpretation. While not ready for clinical implementation, emerging technologies such as long-read and Hi-C sequencing analyses might add to the toolbox for interpreting the expanding genetic data sets generated by genome-wide sequencing. Lastly, we also discuss some more practical implications of introducing these emerging technologies, which generate larger and larger genomic data sets, in the prenatal field.

Indexed as

Genetic TestingPrenatal DiagnosisExome SequencingFemaleHumansPregnancySequence Analysis, DNASequence Analysis, RNA

Identifiers

PMID35416301
PMCPMC10014115
OpenAlexW4223639185

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.