Evidence map›Paper›PMID 35899841›Full record

ArticleAmerican journal of medical genetics. Part A2022

A retrospective cohort analysis of the Yale pediatric genomics discovery program.

Samir Al-Ali, Lauren Jeffries, E Vincent S Faustino, Weizhen Ji, Emily Mis, Monica Konstantino, Cynthia Zerillo, Yong-Hui Jiang, Michele Spencer-Manzon, Allen Bale and 10 more

Open access · greenAbstract read
In one paragraph

Article in American journal of medical genetics. Part A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

20 authors at 1 institution in 1 country.

Samir Al-AliPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-0466-6160
Lauren JeffriesPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6419-0515
E Vincent S FaustinoPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Weizhen JiPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Emily MisPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Monica KonstantinoPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Cynthia ZerilloPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Yong-Hui JiangPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Michele Spencer-ManzonPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Allen BaleDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Hui ZhangDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Julie McGlynnPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
James M McGrathDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Thierry TremblayKohezion, Quebec, Canada.
Nina N BrodskyPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Carrie L LucasDepartment of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA.
Richard PiercePediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Engin DenizPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Mustafa K KhokhaPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Saquib A LakhaniPediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-3235-3460
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
A system approach to the analysis of Heterotaxy Candidate GenesR01HD102186 · NICHD · YALE UNIVERSITY · PI KHOKHA, MUSTAFA K · 2020 to 2024
$3.1M
Analysis of Congenital Hydrocephalus Genes in XenopusR01NS127879 · NINDS · YALE UNIVERSITY · PI ENGIN DENIZ · 2022 to 2026
$2.3M
Potassium channels, membrane potential, and CHDR01HL149746 · NHLBI · YALE UNIVERSITY · PI KHOKHA, MUSTAFA K, ZENISEK, DAVID PAUL · 2020 to 2023
$2.3M
Xenopus as a Model System for Hydrocephaly and Ependymal CiliogenesisR21NS116484 · NINDS · YALE UNIVERSITY · PI DENIZ, ENGIN · 2020 to 2021
$433k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL149746NICHD NIH HHS R01 HD102186NINDS NIH HHS R01 NS127879NINDS NIH HHS R21 NS116484
6 · The paper itself

Abstract

The Pediatric Genomics Discovery Program (PGDP) at Yale uses next-generation sequencing (NGS) and translational research to evaluate complex patients with a wide range of phenotypes suspected to have rare genetic diseases. We conducted a retrospective cohort analysis of 356 PGDP probands evaluated between June 2015 and July 2020, querying our database for participant demographics, clinical characteristics, NGS results, and diagnostic and research findings. The three most common phenotypes among the entire studied cohort (n = 356) were immune system abnormalities (n = 105, 29%), syndromic or multisystem disease (n = 103, 29%), and cardiovascular system abnormalities (n = 62, 17%). Of 216 patients with final classifications, 77 (36%) received new diagnoses and 139 (64%) were undiagnosed; the remaining 140 patients were still actively being investigated. Monogenetic diagnoses were found in 67 (89%); the largest group had variants in known disease genes but with new contributions such as novel variants (n = 31, 40%) or expanded phenotypes (n = 14, 18%). Finally, five PGDP diagnoses (8%) were suggestive of novel gene-to-phenotype relationships. A broad range of patients can benefit from single subject studies combining NGS and functional molecular analyses. All pediatric providers should consider further genetics evaluations for patients lacking precise molecular diagnoses.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingCohort StudiesGenetic TestingHumansPhenotypeRetrospective Studiesfunctional characterizationgene discoverygenetic reanalysisnext generation sequencing (NGS)single subject studiesundiagnosed disease

Identifiers

PMID35899841
PMCPMC9474639
OpenAlexW4288084696

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.