Evidence map›Paper›PMID 33154820›Full record

ArticleNPJ genomic medicine2020

Measurement of genetic diseases as a cause of mortality in infants receiving whole genome sequencing.

Stephen F Kingsmore, Audrey Henderson, Mallory J Owen, Michelle M Clark, Christian Hansen, David Dimmock, Christina D Chambers, Laura L Jeliffe-Pawlowski, Charlotte Hobbs

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.9field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic Disorders Detectable by Fetal MRI: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Implications of Genomic Newborn Screening for Infant Mortality.International journal of neonatal screening · 2023
    Article
  19. 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

9 authors at 3 institutions in 1 country.

Stephen F KingsmoreRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.ORCID 0000-0001-7180-2527
Audrey HendersonRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.
Mallory J OwenRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.
Michelle M ClarkRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.
Christian HansenRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.
David DimmockRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.ORCID 0000-0001-6690-2523
Christina D ChambersDepartment of Pediatrics, University of California, San Diego, CA 92123 USA.
Laura L Jeliffe-PawlowskiDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA USA.
Charlotte HobbsRady Children's Institute for Genomic Medicine, San Diego, CA 92123 USA.
Children’s Institute · USUniversity of California San Diego · USUniversity of California, San Francisco · US

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
Genomic and Environmental Determinants of Infant Deaths in San Diego County in 2015-2022R01HD101540 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI CHAMBERS, CHRISTINA, KINGSMORE, STEPHEN FRANCIS · 2020 to 2024
$3.5M
NCATS NIH HHS UL1 TR002550NICHD NIH HHS R01 HD101540NICHD NIH HHS U19 HD077693
6 · The paper itself

Abstract

Understanding causes of infant mortality shapes public health policy and prioritizes diseases for investments in surveillance, intervention and medical research. Rapid genomic sequencing has created a novel opportunity to decrease infant mortality associated with treatable genetic diseases. Herein, we sought to measure the contribution of genetic diseases to mortality among infants by secondary analysis of babies enrolled in two clinical studies and a systematic literature review. Among 312 infants who had been admitted to an ICU at Rady Children's Hospital between November 2015 and September 2018 and received rapid genomic sequencing, 30 (10%) died in infancy. Ten (33%) of the infants who died were diagnosed with 11 genetic diseases. The San Diego Study of Outcomes in Mothers and Infants platform identified differences between in-hospital and out-of-hospital causes of infant death. Similarly, in six published studies, 195 (21%) of 918 infant deaths were associated with genetic diseases by genomic sequencing. In 195 infant deaths associated with genetic diseases, locus heterogeneity was 70%. Treatment guidelines existed for 70% of the genetic diseases diagnosed, suggesting that rapid genomic sequencing has substantial potential to decrease infant mortality among infants in ICUs. Further studies are needed in larger, comprehensive, unbiased patient sets to determine the generalizability of these findings.

Indexed as

Molecular medicine

Identifiers

PMID33154820
PMCPMC7608690
OpenAlexW3097956318

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.