Evidence map›Paper›PMID 33226994›Full record

ArticlePLoS genetics2020

A phenome-wide association study of 26 mendelian genes reveals phenotypic expressivity of common and rare variants within the general population.

Catherine Tcheandjieu, Matthew Aguirre, Stefan Gustafsson, Priyanka Saha, Praneetha Potiny, Melissa Haendel, Erik Ingelsson, Manuel A Rivas, James R Priest

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Catherine TcheandjieuStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.ORCID 0000-0001-9559-4339
Matthew AguirreDepartment of Pediatric Cardiology Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-9069-6475
Stefan GustafssonStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.
Priyanka SahaStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.ORCID 0000-0001-5106-9751
Praneetha PotinyStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.ORCID 0000-0001-9999-273X
Melissa HaendelDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University (OHSU), Oregon, United States of America.ORCID 0000-0001-9114-8737
Erik IngelssonStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.ORCID 0000-0003-2256-6972
Manuel A RivasDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0003-1457-9925
James R PriestStanford Cardiovascular Institute, Stanford University, Stanford, Stanford, California, United States of America.ORCID 0000-0002-2505-617X
Cardiovascular Institute of the South · USStanford University · USOregon Health & Science University · US

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for GenomicsU24HG011449 · NHGRI · JACKSON LABORATORY · PI Peter Nicholas Robinson · 2021 to 2026
$6.7M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASESR01HG010140 · NHGRI · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL, MONTGOMERY, STEPHEN · 2018 to 2022
$2.0M
Genetic Mechanisms of Congenital Heart DiseaseR00HL130523 · NHLBI · STANFORD UNIVERSITY · PI PRIEST, JAMES R. · 2017 to 2019
$747k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS R01 HG010140NHGRI NIH HHS U01 HG009080NHGRI NIH HHS U24 HG011449NHLBI NIH HHS R00 HL130523NIH HHS R24 OD011883
6 · The paper itself

Abstract

The clinical evaluation of a genetic syndrome relies upon recognition of a characteristic pattern of signs or symptoms to guide targeted genetic testing for confirmation of the diagnosis. However, individuals displaying a single phenotype of a complex syndrome may not meet criteria for clinical diagnosis or genetic testing. Here, we present a phenome-wide association study (PheWAS) approach to systematically explore the phenotypic expressivity of common and rare alleles in genes associated with four well-described syndromic diseases (Alagille (AS), Marfan (MS), DiGeorge (DS), and Noonan (NS) syndromes) in the general population. Using human phenotype ontology (HPO) terms, we systematically mapped 60 phenotypes related to AS, MS, DS and NS in 337,198 unrelated white British from the UK Biobank (UKBB) based on their hospital admission records, self-administrated questionnaires, and physiological measurements. We performed logistic regression adjusting for age, sex, and the first 5 genetic principal components, for each phenotype and each variant in the target genes (JAG1, NOTCH2 FBN1, PTPN1 and RAS-opathy genes, and genes in the 22q11.2 locus) and performed a gene burden test. Overall, we observed multiple phenotype-genotype correlations, such as the association between variation in JAG1, FBN1, PTPN11 and SOS2 with diastolic and systolic blood pressure; and pleiotropy among multiple variants in syndromic genes. For example, rs11066309 in PTPN11 was significantly associated with a lower body mass index, an increased risk of hypothyroidism and a smaller size for gestational age, all in concordance with NS-related phenotypes. Similarly, rs589668 in FBN1 was associated with an increase in body height and blood pressure, and a reduced body fat percentage as observed in Marfan syndrome. Our findings suggest that the spectrum of associations of common and rare variants in genes involved in syndromic diseases can be extended to individual phenotypes within the general population.

Indexed as

Alagille SyndromeAllelesBiological Variation, PopulationDiGeorge SyndromeFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenome-Wide Association StudyHumansMaleMarfan SyndromeNoonan SyndromePhenotype

Identifiers

PMID33226994
PMCPMC7735621
OpenAlexW3106691802

What OpenQuestion holds

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Registered trials

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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.