Evidence map›Paper›PMID 33359885›Full record

ArticleGastroenterology2021

Common and Rare Variant Prediction and Penetrance of IBD in a Large, Multi-ethnic, Health System-based Biobank Cohort.

Kyle Gettler, Rachel Levantovsky, Arden Moscati, Mamta Giri, Yiming Wu, Nai-Yun Hsu, Ling-Shiang Chuang, Aleksejs Sazonovs, Suresh Venkateswaran, Ujunwa Korie and 13 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 10 institutions in 4 countries.

Kyle GettlerDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Rachel LevantovskyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Arden MoscatiThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Mamta GiriDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Yiming WuThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Nai-Yun HsuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Ling-Shiang ChuangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Aleksejs SazonovsHuman Genetics, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom.
Suresh VenkateswaranDivision of Pediatric Gastroenterology, Hepatology & Nutrition, Emory University School of Medicine, Atlanta, Georgia.
Ujunwa KorieThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Colleen ChasteauThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
UK IBD Genetics Consortium, National Institute of Diabetes, Digestive and Kidney Diseases Inflammatory Bowel Disease Genetics Consortium
Richard H DuerrDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Mark S SilverbergDivision of Gastroenterology, Mount Sinai Hospital Inflammatory Bowel Disease Centre, Toronto, Ontario, Canada.
Scott B SnapperDivision of Gastroenterology, Hepatology & Nutrition, Boston Children's Hospital, Boston, Massachusetts.
Mark J DalyMedical and Population Genetics, Broad Institute, Cambridge, Massachusetts; Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Dermot P McGovernMedicine and Biomedical Sciences, Cedars-Sinai, Los Angeles, California.
Steven R BrantDivision of Gastroenterology and Hepatology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, and Department of Genetics and The Human Genetics Institute of New Jersey, Rutgers University, New Brunswick, New Jersey; Harvey M. and Lyn P. Meyerhoff Inflammatory Bowel Disease Center, Division of Gastroenterology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
John D RiouxMontreal Heart Institute, University of Montreal, Montreal, Canada.
Subra KugathasanDivision of Pediatric Gastroenterology, Hepatology & Nutrition, Emory University School of Medicine, Atlanta, Georgia; Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia.
Carl A AndersonHuman Genetics, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom.
Yuval ItanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Judy H ChoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: judy.cho@mssm.edu.
Icahn School of Medicine at Mount Sinai · USEmory University · USWellcome Sanger Institute · GBBoston Children's Hospital · USBroad Institute · USCedars-Sinai Medical Center · USMontreal Heart Institute · CAMount Sinai Hospital · CARutgers, The State University of New Jersey · USUniversity of Pittsburgh · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
Inflammatory Bowel Disease Genetics Consortium Data Coordinating CenterU01DK062429 · NIDDK · YALE UNIVERSITY · PI CHO, JUDY H. · 2002 to 2016
$16.8M
Precision IBD via genetics and genomics: integrating International and multi-omic datasets, expanding studies in diverse populations, and defining mechanisms of unmet clinical needs in IBDU24DK062429 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ling-shiang Chuang, Ron Do · 2017 to 2026
$13.9M
Yale University Inflammatory Bowel Disease Genetics Research CenterU01DK062422 · NIDDK · YALE UNIVERSITY · PI Ling-shiang Chuang · 2002 to 2026
$10.8M
IBD Gene Mapping by Clinical and Population SubsetsU01DK062431 · NIDDK · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Steven R Brant · 2002 to 2026
$10.7M
NIDDK IBD Genetics Consortium Genetic Research CenterU01DK062420 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUERR, RICHARD H · 2002 to 2021
$7.8M
Impact of Genetic Variability on Cellular Pathways and Host-Microbiome InteractioU01DK062423 · NIDDK · SINAI HEALTH SYSTEM · PI MARK S. SILVERBERG · 2002 to 2026
$7.5M
Integrative Genomic Analyses of Macrophages in Crohns DiseaseR01DK106593 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHO, JUDY H. · 2016 to 2020
$3.8M
Identifying population-specific IBD-associated mutations, genes and pathwaysR01DK123530 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ITAN, YUVAL · 2019 to 2021
$1.0M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIDDK NIH HHS P30 DK034854NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK106593NIDDK NIH HHS R01 DK123530NIDDK NIH HHS U01 DK062420NIDDK NIH HHS U01 DK062422NIDDK NIH HHS U01 DK062423NIDDK NIH HHS U01 DK062429NIDDK NIH HHS U01 DK062431NIDDK NIH HHS U24 DK062429
6 · The paper itself

Abstract

BACKGROUND AND

aimsPolygenic risk scores (PRS) may soon be used to predict inflammatory bowel disease (IBD) risk in prevention efforts. We leveraged exome-sequence and single nucleotide polymorphism (SNP) array data from 29,358 individuals in the multiethnic, randomly ascertained health system-based BioMe biobank to define effects of common and rare IBD variants on disease prediction and pathophysiology.

methodsPRS were calculated from European, African American, and Ashkenazi Jewish (AJ) reference case-control studies, and a meta-GWAS run using all three association datasets. PRS were then combined using regression to assess which combination of scores best predicted IBD status in European, AJ, Hispanic, and African American cohorts in BioMe. Additionally, rare variants were assessed in genes associated with very early-onset IBD (VEO-IBD), by estimating genetic penetrance in each BioMe population.

resultsCombining risk scores based on association data from distinct ancestral populations improved IBD prediction for every population in BioMe and significantly improved prediction among European ancestry UK Biobank individuals. Lower predictive power for non-Europeans was observed, reflecting in part substantially lower African IBD case-control reference sizes. We replicated associations for two VEO-IBD genes, ADAM17 and LRBA, with high dominant model penetrance in BioMe. Autosomal recessive LRBA risk alleles are associated with severe, early-onset autoimmunity; we show that heterozygous carriage of an African-predominant LRBA protein-altering allele is associated with significantly decreased LRBA and CTLA-4 expression with T-cell activation.

conclusionsGreater genetic diversity in African populations improves prediction across populations, and generalizes some VEO-IBD genes. Increasing African American IBD case-collections should be prioritized to reduce health disparities and enhance pathophysiological insight.

Indexed as

Black or African AmericanColitis, UlcerativeCrohn DiseaseHispanic or LatinoJewsMultifactorial InheritancePenetrancePolymorphism, Single NucleotideWhite PeopleAge of OnsetCase-Control StudiesEuropeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypeIBDPRSVEO-IBD

Identifiers

PMID33359885
PMCPMC8237248
OpenAlexW3114140751

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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.