We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




New Genetic Factors Involved in Sudden Unexpected Death in Children

By LabMedica International staff writers
Posted on 29 Apr 2021
Print article
Image: New genetic factors involved in Sudden Unexpected Death in Pediatrics (SUDP) have been revealed by combining exome sequencing analysis with detailed phenotyping (Photo courtesy of Boston Children`s Hospital)
Image: New genetic factors involved in Sudden Unexpected Death in Pediatrics (SUDP) have been revealed by combining exome sequencing analysis with detailed phenotyping (Photo courtesy of Boston Children`s Hospital)
About 10% of deaths in infants and children occur suddenly and have no apparent cause. Sudden Unexpected Death in Pediatrics (SUDP) encompasses several related phenomena, including Sudden Infant Death Syndrome (SIDS), Sudden Unexplained Death in Childhood (SUDC), and Sudden Unexpected Infant Death (SUID).

The most widely accepted explanation for these unexplained deaths, is that children with an intrinsic, or genetic, predisposition experience some sort of extrinsic risk, such as soft bedding or a certain sleep position, during a critical period of their development. A new study has found several genes with functions in neurological disease or systemic/syndromic conditions that had not previously been implicated in the SUDP.

Medical Scientists at the Boston Children's Hospital (Boston, MA, USA) and their colleagues surveyed a total of 352 SUDP cases, including 73 with parental samples. The age of death in these children ranged from one day to 11 years, with an average of six months, and the team obtained detailed phenotypic descriptions for them. The investigators conducted exome sequencing and analyzed the data for rare damaging variants in genes involved in neurological, cardiac, and systemic or syndromic disease mechanisms, a list of 294 potential SUDP genes. They classified variants as pathogenic, likely pathogenic, and variants of uncertain significance (VUS) and introduced an additional category, called VUS-favor pathogenic (VUS-FP).

In a proband-only analysis, they identified 109 rare damaging variants in 98 probands, or 28% of which 12 were classified as pathogenic or likely pathogenic and 17 as VUS-FP. This was a higher burden of such variants than in healthy controls. In addition, an analysis of the parent-proband exome data uncovered 51 de novo variants, of which eight were classified as pathogenic/likely pathogenic or VUS-FP, as well as 13 X-linked maternally inherited variants. A burden analysis found that SUDP trios had almost three times more rare damaging de novo variants than controls, suggesting that these variants play a causal role.

Overall, the scientists identified 38 rare damaging variants, 16 pathogenic or likely pathogenic and 22 VUS-FP variants in the SUDP cases, accounting for 11% of all cases. Of those, 14 were in neurological, 18 in cardiac, and six in systemic/syndromic disease genes. Variants in cardiac disease genes all occurred in children who died within their first year of life.

The authors concluded that their results suggest that genetic factors play an important role in SUDP. The findings can provide bereaved parents with an explanation of why their child died, help identify at-risk family members, and lead to counseling about recurrence risk. The study was presented at the American College of Medical Genetics and Genomics annual clinical meeting held virtually on 13-16 April, 2021.

Related Links:
Boston Children's Hospital

New
Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
Automated Blood Typing System
IH-500 NEXT
New
LH ELISA
Luteinizing Hormone ELISA
New
ELISA System
ABSOL HS DUO

Print article

Channels

Clinical Chemistry

view channel
Image: The new saliva-based test for heart failure measures two biomarkers in about 15 minutes (Photo courtesy of Trey Pittman)

POC Saliva Testing Device Predicts Heart Failure in 15 Minutes

Heart failure is a serious condition where the heart muscle is unable to pump sufficient oxygen-rich blood throughout the body. It ranks as a major cause of death globally and is particularly fatal for... Read more

Hematology

view channel
Image: The smartphone technology measures blood hemoglobin levels from a digital photo of the inner eyelid (Photo courtesy of Purdue University)

First-Of-Its-Kind Smartphone Technology Noninvasively Measures Blood Hemoglobin Levels at POC

Blood hemoglobin tests are among the most frequently conducted blood tests, as hemoglobin levels can provide vital insights into various health conditions. However, traditional tests are often underutilized... Read more

Immunology

view channel
Image: Under a microscope, DNA repair is visible as bright green spots (“foci”) in the blue-stained cell DNA. Orange highlights actively growing cancer cells (Photo courtesy of WEHI)

Simple Blood Test Could Detect Drug Resistance in Ovarian Cancer Patients

Every year, hundreds of thousands of women across the world are diagnosed with ovarian and breast cancer. PARP inhibitors (PARPi) therapy has been a major advancement in treating these cancers, particularly... Read more

Microbiology

view channel
Image: HNL Dimer can be a novel and potentially useful clinical tool in antibiotic stewardship in sepsis (Photo courtesy of Shutterstock)

Unique Blood Biomarker Shown to Effectively Monitor Sepsis Treatment

Sepsis remains a growing problem across the world, linked to high rates of mortality and morbidity. Timely and accurate diagnosis, along with effective supportive therapy, is essential in reducing sepsis-related... Read more

Pathology

view channel
Image: The AI program analyzes a microscopy image from a tumor biopsy and determines what genes are likely turned on and off in the cells it contains (Photo courtesy of Olivier Gevaert/Stanford Medicine)

AI Tool ‘Sees’ Cancer Gene Signatures in Biopsy Images

To assess the type and severity of cancer, pathologists typically examine thin slices of a tumor biopsy under a microscope. However, to understand the genomic alterations driving the tumor's growth, scientists... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.