Evidence map›Paper›PMID 33636100›Full record

SynthesisAmerican journal of human genetics2021

Mendelian pathway analysis of laboratory traits reveals distinct roles for ciliary subcompartments in common disease pathogenesis.

Theodore George Drivas, Anastasia Lucas, Xinyuan Zhang, Marylyn DeRiggi Ritchie

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 10 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

4 authors at 2 institutions in 1 country.

Theodore George DrivasDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19194, USA; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA. Electronic address: theodore.drivas@pennmedicine.upenn.edu.
Anastasia LucasDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19194, USA.
Xinyuan ZhangDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19194, USA.
Marylyn DeRiggi RitchieDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19194, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19194, USA. Electronic address: marylyn@upenn.edu.
University of Pennsylvania · USChildren's Hospital of Philadelphia · US

Funding

Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAUSS, RONALD M · 2015 to 2019
$14.0M
Pharmacogenomics of HIV TherapyR01AI077505 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HAAS, DAVID W · 2008 to 2025
$12.3M
MEDICAL GENETICS RESEARCH TRAINING GRANTT32GM008638 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca Ganetzky · 1997 to 2026
$8.7M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
Biomedical Computing and Informatics Strategies for Infectious Disease ResearchR01AI116794 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H. · 2016 to 2020
$2.9M
NIAID NIH HHS R01 AI077505NIAID NIH HHS R01 AI116794NIDDK NIH HHS R01 DK117850NIGMS NIH HHS P50 GM115318NIGMS NIH HHS T32 GM008638
6 · The paper itself

Abstract

Rare monogenic disorders of the primary cilium, termed ciliopathies, are characterized by extreme presentations of otherwise common diseases, such as diabetes, hepatic fibrosis, and kidney failure. However, despite a recent revolution in our understanding of the cilium's role in rare disease pathogenesis, the organelle's contribution to common disease remains largely unknown. Hypothesizing that common genetic variants within Mendelian ciliopathy genes might contribute to common complex diseases pathogenesis, we performed association studies of 16,874 common genetic variants across 122 ciliary genes with 12 quantitative laboratory traits characteristic of ciliopathy syndromes in 452,593 individuals in the UK Biobank. We incorporated tissue-specific gene expression analysis, expression quantitative trait loci, and Mendelian disease phenotype information into our analysis and replicated our findings in meta-analysis. 101 statistically significant associations were identified across 42 of the 122 examined ciliary genes (including eight novel replicating associations). These ciliary genes were widely expressed in tissues relevant to the phenotypes being studied, and eQTL analysis revealed strong evidence for correlation between ciliary gene expression levels and laboratory traits. Perhaps most interestingly, our analysis identified different ciliary subcompartments as being specifically associated with distinct sets of phenotypes. Taken together, our data demonstrate the utility of a Mendelian pathway-based approach to genomic association studies, challenge the widely held belief that the cilium is an organelle important mainly in development and in rare syndromic disease pathogenesis, and provide a framework for the continued integration of common and rare disease genetics to provide insight into the pathophysiology of human diseases of immense public health burden.

Indexed as

CiliaCiliopathiesGenetic Association StudiesGenetic Diseases, InbornGenetic Predisposition to DiseaseGenomicsHumansPhenotypeQuantitative Trait LociRare Diseasesbioinformaticsciliopathiesciliumcomplex traitgenomicsMendelian disease

Identifiers

PMID33636100
PMCPMC8008498
OpenAlexW3132264172

What OpenQuestion holds

Textmetadata
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.