Evidence map›Paper›PMID 36757698›Full record

ArticleJAMA network open2023

Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing.

Mallory J Owen, Meredith S Wright, Sergey Batalov, Yonghyun Kwon, Yan Ding, Kevin K Chau, Shimul Chowdhury, Nathaly M Sweeney, Elizabeth Kiernan, Andrew Richardson and 7 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
15.0field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Drivers of systemic male-female allele frequency divergence in humans.bioRxiv : the preprint server for biology · 2026
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  17. Genomic newborn screening for rare diseases.Nature reviews. Genetics · 2023
    Review
  18. Response to Grosse et al.American journal of human genetics · 2023
    Article
  19. Diagnostic genomic sequencing in critically ill children.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  20. Article
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

17 authors at 3 institutions in 1 country.

Mallory J OwenRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Meredith S WrightRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Sergey BatalovRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Yonghyun KwonRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Yan DingRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Kevin K ChauRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Shimul ChowdhuryRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Nathaly M SweeneyRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Elizabeth KiernanRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Andrew RichardsonRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Emily BattonDepartment of Pediatrics, University of California, San Diego, La Jolla.
Rebecca J BaerDepartment of Pediatrics, University of California, San Diego, La Jolla.
Gretchen BandoliDepartment of Pediatrics, University of California, San Diego, La Jolla.
Joseph G GleesonRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Matthew BainbridgeRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Christina D ChambersDepartment of Pediatrics, University of California, San Diego, La Jolla.
Stephen F KingsmoreRady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California.
Rady Children's Hospital-San Diego · USUniversity of California San Diego · USChildren’s Institute · US

Funding

Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
Developing Diverse Physician-Investigator Leaders for the Future of Child HealthK12HD105271 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Gabriel G Haddad · 2021 to 2026
$1.8M
NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444NICHD NIH HHS K12 HD105271
6 · The paper itself

Abstract

Importance: Understanding the causes of infant mortality shapes public health, surveillance, and research investments. However, the association of single-locus (mendelian) genetic diseases with infant mortality is poorly understood. Objective: To determine the association of genetic diseases with infant mortality. Design, Setting, and Participants: This cohort study was conducted at a large pediatric hospital system in San Diego County (California) and included 546 infants (112 infant deaths [20.5%] and 434 infants [79.5%] with acute illness who survived; age, 0 to 1 year) who underwent diagnostic whole-genome sequencing (WGS) between January 2015 and December 2020. Data analysis was conducted between 2015 and 2022. Exposure: Infants underwent WGS either premortem or postmortem with semiautomated phenotyping and diagnostic interpretation. Main Outcomes and Measures: Proportion of infant deaths associated with single-locus genetic diseases. Results: Among 112 infant deaths (54 girls [48.2%]; 8 [7.1%] African American or Black, 1 [0.9%] American Indian or Alaska Native, 8 [7.1%] Asian, 48 [42.9%] Hispanic, 1 [0.9%] Native Hawaiian or Pacific Islander, and 34 [30.4%] White infants) in San Diego County between 2015 and 2020, single-locus genetic diseases were the most common identifiable cause of infant mortality, with 47 genetic diseases identified in 46 infants (41%). Thirty-nine (83%) of these diseases had been previously reported to be associated with childhood mortality. Twenty-eight death certificates (62%) for 45 of the 46 infants did not mention a genetic etiology. Treatments that can improve outcomes were available for 14 (30%) of the genetic diseases. In 5 of 7 infants in whom genetic diseases were identified postmortem, death might have been avoided had rapid, diagnostic WGS been performed at time of symptom onset or regional intensive care unit admission. Conclusions and Relevance: In this cohort study of 112 infant deaths, the association of genetic diseases with infant mortality was higher than previously recognized. Strategies to increase neonatal diagnosis of genetic diseases and immediately implement treatment may decrease infant mortality. Additional study is required to explore the generalizability of these findings and measure reduction in infant mortality.

Indexed as

Infant MortalityWhole Genome SequencingCaliforniaCausalityChildCohort StudiesFemaleHumansInfantInfant DeathInfant, NewbornMale

Identifiers

PMID36757698
PMCPMC9912130
OpenAlexW4319655568

What OpenQuestion holds

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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.