Evidence map›Paper›PMID 31395954›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2019

Infant mortality: the contribution of genetic disorders.

Monica H Wojcik, Talia S Schwartz, Katri E Thiele, Heather Paterson, Rachel Stadelmaier, Thomas E Mullen, Grace E VanNoy, Casie A Genetti, Jill A Madden, Cynthia S Gubbels and 3 more

Abstract read
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Equity-focused implementation to enhance access to rare disease genomic research and understand diverse perspectives.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
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  14. Review
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  18. Article
  19. In Search of Spinal Muscular Atrophy Disease Modifiers.International journal of molecular sciences · 2024
    Review
  20. A Deep Intronic PKHD1 Variant Identified by SpliceAI in a Deceased Neonate With Autosomal Recessive Polycystic Kidney Disease.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    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

13 authors.

Monica H WojcikDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA. Monica.Wojcik@childrens.harvard.edu.ORCID http://orcid.org/0000-0002-8162-5031
Talia S SchwartzDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Katri E ThieleDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Heather PatersonDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Rachel StadelmaierDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Thomas E MullenThe Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Grace E VanNoyDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Casie A GenettiDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Jill A MaddenDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Cynthia S GubbelsDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Timothy W YuDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Wen-Hann TanDivision of Genetics and Genomics, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Pankaj B AgrawalDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Complete gene knockouts in autism: identification and functional characterizationR01MH113761 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI YU, TIMOTHY WEI-WEN · 2017 to 2021
$2.2M
NCATS NIH HHS UL1 TR001102NHGRI NIH HHS UM1 HG008900NICHD NIH HHS U19 HD077671NIGMS NIH HHS T32 GM007748NIMH NIH HHS R01 MH113761
6 · The paper itself

Abstract

objectiveTo determine the proportion of infant deaths occurring in the setting of a confirmed genetic disorder. STUDY

designA retrospective analysis of the electronic medical records of infants born from 1 January, 2011 to 1 June, 2017, who died prior to 1 year of age.

resultsFive hundred and seventy three deceased infants were identified. One hundred and seventeen were confirmed to have a molecular or cytogenetic diagnosis in a clinical diagnostic laboratory and an additional seven were diagnosed by research testing for a total of 124/573 (22%) diagnosed infants. A total of 67/124 (54%) had chromosomal disorders and 58/124 (47%) had single gene disorders (one infant had both). The proportion of diagnoses made by sequencing technologies, such as exome sequencing, increased over the years.

conclusionsThe prevalence of confirmed genetic disorders within our cohort of infant deaths is higher than that previously reported. Increased efforts are needed to further understand the mortality burden of genetic disorders in infancy.

Indexed as

Infant MortalityChromosome DisordersFemaleGenetic Diseases, InbornHumansInfantInfant DeathInfant, NewbornMalePrevalenceRetrospective StudiesUnited States

Identifiers

PMID31395954
PMCPMC6879816

What OpenQuestion holds

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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.