Evidence map›Paper›PMID 38436216›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2024

Exome and genome sequencing in a heterogeneous population of patients with rare disease: Identifying predictors of a diagnosis.

Jenna Pucel, Lauren C Briere, Chloe Reuter, Perman Gochyyev, Undiagnosed Diseases Network, Kimberly LeBlanc

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 4 institutions in 1 country.

Jenna PucelMGH Institute of Health Professions, Boston, MA. Electronic address: jennapucel@gmail.com.
Lauren C BriereCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Chloe ReuterStanford Center for Undiagnosed Diseases, Cardiovascular Medicine, Stanford University, Palo Alto, CA.
Perman GochyyevMGH Institute of Health Professions, Boston, MA.
Undiagnosed Diseases Network
Kimberly LeBlancDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Harvard University · USMassachusetts General Hospital · USMGH Institute of Health Professions · USStanford Medicine · US

Funding

Coordinating Center for the Undiagnosed Diseases NetworkU01HG007530 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2022
$30.2M
Center for Integrated Approaches to Undiagnosed DiseasesU01HG007690 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2014 to 2022
$10.4M
What comes next? Engaging stakeholders in governance of participant data and relationships during the sunset of large genomic medicine research initiativesU01HG010218 · NHGRI · STANFORD UNIVERSITY · PI ASHLEY, EUAN A, BERNSTEIN, JONATHAN ADAM · 2018 to 2022
$6.3M
UCLA clinical site for the investigation of undiagnosed disordersU01NS134356 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARTINEZ-AGOSTO, JULIAN, NELSON, STANLEY F. · 2023 to 2023
$936k
NHGRI NIH HHS U01 HG007530NHGRI NIH HHS U01 HG007690NHGRI NIH HHS U01 HG010218NINDS NIH HHS U01 NS134356
6 · The paper itself

Abstract

purposeExome (ES) and genome sequencing (GS) are increasingly being utilized for individuals with rare and undiagnosed diseases; however, guidelines on their use remain limited. This study aimed to identify factors associated with diagnosis by ES and/or GS in a heterogeneous population of patients with rare and undiagnosed diseases.

methodsIn this case control study, we reviewed data from 400 diagnosed and 400 undiagnosed randomly selected participants in the Undiagnosed Diseases Network, all of whom had undergone ES and/or GS. We analyzed factors associated with receiving a diagnosis by ES and/or GS.

resultsFactors associated with a decreased odds of being diagnosed included adult symptom onset, singleton sequencing, and having undergone ES and/or GS before acceptance to the Undiagnosed Diseases Network (48%, 51%, and 32% lower odds, respectively). Factors that increased the odds of being diagnosed by ES and/or GS included having primarily neurological symptoms and having undergone prior chromosomal microarray testing (44% and 59% higher odds, respectively).

conclusionWe identified several factors that were associated with receiving a diagnosis by ES and/or GS. This will ideally inform the utilization of ES and/or GS and help manage expectations of individuals and families undergoing these tests.

Indexed as

ExomeExome SequencingRare DiseasesWhole Genome SequencingAdolescentAdultCase-Control StudiesFemaleGenetic TestingGenome, HumanHumansMaleMiddle AgedYoung AdultExome sequencingGenome sequencingPredictors of a diagnosisRare diseaseUndiagnosed disease

Identifiers

PMID38436216
PMCPMC11161308
OpenAlexW4392385651

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.