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Exome-Wide Rare Variant Analyses in Sudden Infant Death Syndrome

Overview of attention for article published in Journal of Pediatrics, September 2018
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Title
Exome-Wide Rare Variant Analyses in Sudden Infant Death Syndrome
Published in
Journal of Pediatrics, September 2018
DOI 10.1016/j.jpeds.2018.08.011
Pubmed ID
Authors

David J Tester, Leonie C H Wong, Pritha Chanana, Belinda Gray, Amie Jaye, Jared M Evans, Margaret Evans, Peter Fleming, Iona Jeffrey, Marta Cohen, Jacob Tfelt-Hansen, Michael A Simpson, Elijah R Behr, Michael J Ackerman

Abstract

To determine whether a monogenic basis explains sudden infant death syndrome (SIDS) using an exome-wide focus. A cohort of 427 unrelated cases of SIDS (257 male; average age = 2.7 ± 1.9 months) underwent whole-exome sequencing. Exome-wide rare variant analyses were carried out with 278 SIDS cases of European ancestry (173 male; average age = 2.7 ± 1.98 months) and 973 ethnic-matched controls based on 6 genetic models. Ingenuity Pathway Analysis also was performed. The cohort was collected in collaboration with coroners, medical examiners, and pathologists by St George's University of London, United Kingdom, and Mayo Clinic, Rochester, Minnesota. Whole-exome sequencing was performed at the Genomic Laboratory, Kings College London, United Kingdom, or Mayo Clinic's Medical Genome Facility, Rochester, Minnesota. Although no exome-wide significant (P < 2.5 × 10-6) difference in burden of ultra-rare variants was detected for any gene, 405 genes had a greater prevalence (P < .05) of ultra-rare nonsynonymous variants among cases with 17 genes at P < .005. Some of these potentially overrepresented genes may represent biologically plausible novel candidate genes for a monogenic basis for a portion of patients with SIDS. The top canonical pathway identified was glucocorticoid biosynthesis (P = .01). The lack of exome-wide significant genetic associations indicates an extreme heterogeneity of etiologies underlying SIDS. Our approach to understanding the genetic mechanisms of SIDS has far reaching implications for the SIDS research community as a whole and may catalyze new evidence-based SIDS research across multiple disciplines. Perturbations in glucocorticoid biosynthesis may represent a novel SIDS-associated biological pathway for future SIDS investigative research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 12%
Other 3 9%
Researcher 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 4 12%
Unknown 15 45%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 16 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2018.
All research outputs
#14,920,631
of 25,385,509 outputs
Outputs from Journal of Pediatrics
#8,120
of 12,459 outputs
Outputs of similar age
#178,803
of 351,260 outputs
Outputs of similar age from Journal of Pediatrics
#141
of 263 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.