Literature DB >> 33298928

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

Stephen F Kingsmore1, Audrey Henderson2, Mallory J Owen2, Michelle M Clark2, Christian Hansen2, David Dimmock2, Christina D Chambers3, Laura L Jeliffe-Pawlowski4, Charlotte Hobbs2.   

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.

Year:  2020        PMID: 33298928     DOI: 10.1038/s41525-020-00155-8

Source DB:  PubMed          Journal:  NPJ Genom Med        ISSN: 2056-7944            Impact factor:   8.617


  70 in total

1.  Mortality from Alzheimer's disease: an update.

Authors:  D L Hoyert; H M Rosenberg
Journal:  Natl Vital Stat Rep       Date:  1999-06-30

2.  Confirmation of cause and manner of death via a comprehensive cardiac autopsy including whole exome next-generation sequencing.

Authors:  Christina G Loporcaro; David J Tester; Joseph J Maleszewski; Teresa Kruisselbrink; Michael J Ackerman
Journal:  Arch Pathol Lab Med       Date:  2013-12-03       Impact factor: 5.534

3.  How infants die in the neonatal intensive care unit: trends from 1999 through 2008.

Authors:  Julie Weiner; Jotishna Sharma; John Lantos; Howard Kilbride
Journal:  Arch Pediatr Adolesc Med       Date:  2011-07

4.  Deaths: final data for 2007.

Authors:  Jiaquan Xu; Kenneth D Kochanek; Sherry L Murphy; Betzaida Tejada-Vera
Journal:  Natl Vital Stat Rep       Date:  2010-05

5.  The autopsy as a measure of accuracy of the death certificate.

Authors:  T Kircher; J Nelson; H Burdo
Journal:  N Engl J Med       Date:  1985-11-14       Impact factor: 91.245

6.  Molecular autopsy of sudden unexplained death in the young.

Authors:  M J Ackerman; D J Tester; D J Driscoll
Journal:  Am J Forensic Med Pathol       Date:  2001-06       Impact factor: 0.921

7.  Death Certification Errors and the Effect on Mortality Statistics.

Authors:  Lauri McGivern; Leanne Shulman; Jan K Carney; Steven Shapiro; Elizabeth Bundock
Journal:  Public Health Rep       Date:  2017-11-01       Impact factor: 2.792

8.  Rapid Diagnosis of KCNQ2-Associated Early Infantile Epileptic Encephalopathy Improved Outcome.

Authors:  Dillon Y Chen; Shimul Chowdhury; Lauge Farnaes; Jennifer R Friedman; Jose Honold; David P Dimmock; On Behalf Of The Rcigm Investigators Jeffrey J Gold
Journal:  Pediatr Neurol       Date:  2018-07-10       Impact factor: 3.372

9.  Novel Factor XIII variant identified through whole-genome sequencing in a child with intracranial hemorrhage.

Authors:  Benjamin Briggs; Kiely N James; Shimul Chowdhury; Courtney Thornburg; Lauge Farnaes; David Dimmock; Stephen F Kingsmore
Journal:  Cold Spring Harb Mol Case Stud       Date:  2018-12-17

10.  Accuracy of Death Certificates and Assessment of Factors for Misclassification of Underlying Cause of Death.

Authors:  Makiko Naka Mieno; Noriko Tanaka; Tomio Arai; Takuya Kawahara; Aya Kuchiba; Shizukiyo Ishikawa; Motoji Sawabe
Journal:  J Epidemiol       Date:  2015-12-05       Impact factor: 3.211

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