Evidence map›Paper›PMID 33069917›Full record

ArticleCellular and molecular gastroenterology and hepatology2021

Variant-to-Gene-Mapping Analyses Reveal a Role for the Hypothalamus in Genetic Susceptibility to Inflammatory Bowel Disease.

Chiara Lasconi, Matthew C Pahl, Diana L Cousminer, Claudia A Doege, Alessandra Chesi, Kenyaita M Hodge, Michelle E Leonard, Sumei Lu, Matthew E Johnson, Chun Su and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cellular and molecular gastroenterology and hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 30 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

17 authors at 4 institutions in 1 country.

Chiara LasconiCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Matthew C PahlCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Diana L CousminerCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Claudia A DoegeDivision of Molecular Genetics (Pediatrics), Naomi Berrie Diabetes Center, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Alessandra ChesiCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Kenyaita M HodgeCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Michelle E LeonardCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Sumei LuCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Matthew E JohnsonCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Chun SuCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Reza K HammondCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
James A PippinCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania.
Natalie A TerryDepartment of Pediatrics, Philadelphia, Pennsylvania.
Louis R GhanemDepartment of Pediatrics, Philadelphia, Pennsylvania.
Rudolph L LeibelDivision of Molecular Genetics (Pediatrics), Naomi Berrie Diabetes Center, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Andrew D WellsCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Department of Pathology, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Philadelphia, Pennsylvania.
Struan F A GrantCenter for Spatial and Functional Genomics, Philadelphia, Pennsylvania; Division of Human Genetics, Philadelphia, Pennsylvania; Division of Diabetes and Endocrinology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: grants@email.chop.edu.
Center for Human Genetics · USColumbia University · USChildren's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

Elucidation of Genetic Effects on Sleep and Circadian TraitsR01HL143790 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GEHRMAN, PHILIP RICHARD, GRANT, STRUAN F A · 2018 to 2021
$3.6M
Network-based algorithms for target identification and drug repositioning from genetic associationsR01HG010067 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, CASEY S · 2018 to 2022
$3.2M
NHGRI NIH HHS R01 HG010067NHLBI NIH HHS R01 HL143790
6 · The paper itself

Abstract

BACKGROUND &

aimsInflammatory bowel disease (IBD) is a polygenic disorder characterized principally by dysregulated inflammation impacting the gastrointestinal tract. However, there also is increasing evidence for a clinical association with stress and depression. Given the role of the hypothalamus in stress responses and in the pathogenesis of depression, useful insights could be gleaned from understanding its genetic role in IBD.

methodsWe conducted genetic correlation analyses on publicly available genome-wide association study summary statistics for depression and IBD traits to identify genetic commonalities. We used partitioned linkage disequilibrium score regression, leveraging our ATAC sequencing and promoter-focused Capture C data, to measure enrichment of IBD single-nucleotide polymorphisms within promoter-interacting open chromatin regions of human embryonic stem cell-derived hypothalamic-like neurons (HNs). Using the same data sets, we performed variant-to-gene mapping to implicate putative IBD effector genes in HNs. To contrast these results, we similarly analyzed 3-dimensional genomic data generated in epithelium-derived colonoids from rectal biopsy specimens from donors without pathologic disease noted at the time of colonoscopy. Finally, we conducted enrichment pathway analyses on the implicated genes to identify putative IBD dysfunctional pathways.

resultsWe found significant genetic correlations (rg) of 0.122 with an adjusted P (P

conclusionsOur results suggest that the hypothalamus warrants further study in the context of IBD pathogenesis.

Indexed as

Genetic Predisposition to DiseaseBrain-Gut AxisCase-Control StudiesChromosome MappingDatasets as TopicDepressionGenome-Wide Association StudyHumansHypothalamo-Hypophyseal SystemHypothalamusInflammatory Bowel DiseasesLinkage DisequilibriumNeuronsPolymorphism, Single NucleotidePromoter Regions, GeneticStress, PsychologicalColonoidshESCHPAStress

Identifiers

PMID33069917
PMCPMC7843407
OpenAlexW3093166004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.