Evidence map›Paper›PMID 37014069›Full record

ArticleObesity (Silver Spring, Md.)2023

Causal effect of adiposity on the risk of 19 gastrointestinal diseases: a Mendelian randomization study.

Min Seo Kim, Minku Song, Soyeon Kim, Beomsu Kim, Wonseok Kang, Jong Yeob Kim, Woojae Myung, Inhyeok Lee, Ron Do, Amit V Khera and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 2% 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, 2 syntheses or guidelines pooled it, 32 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

11 authors at 6 institutions in 3 countries.

Min Seo KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Minku SongDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Soyeon KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Beomsu KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Wonseok KangDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Jong Yeob KimYonsei University College of Medicine, Seoul, Republic of Korea.
Woojae MyungDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Inhyeok LeeDepartment of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Amit V KheraCenter for Genomic Medicine and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Hong-Hee WonDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-5719-0552
Samsung Medical Center · KRBroad Institute · USIcahn School of Medicine at Mount Sinai · USKorea University · KRSeoul National University Bundang Hospital · KRYonsei University · KR

Funding

Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
NHLBI NIH HHS R01 HL139865NHLBI NIH HHS R01 HL155915NIGMS NIH HHS R35 GM124836
6 · The paper itself

Abstract

objectiveAlthough the association between adiposity and gastrointestinal (GI) diseases has been explored, the causal effects of adiposity on GI diseases are largely unknown.

methodsMendelian randomization was conducted using single-nucleotide polymorphisms associated with BMI and waist circumference (WC) as instrumental variables, and the causal associations of BMI or WC with GI conditions were estimated among >400,000 UK Biobank participants, >170,000 Finnish-descent participants, and numerous consortia participants of predominantly European ancestry.

resultsGenetically predicted BMI was robustly associated with increased risk of nonalcoholic fatty liver disease (NAFLD), cholecystitis, cholelithiasis, and primary biliary cholangitis. For the diseases, the odds ratio per 1-SD increase in genetically predicted BMI (4.77 kg/m

conclusionsHigh genetically predicted adiposity was causally associated with an increased risk of GI abnormalities, particularly of hepatobiliary organs (liver, biliary tract, and gallbladder) that are functionally related to fat metabolism.

Indexed as

CholecystitisCholelithiasisLiver Diseases, AlcoholicNon-alcoholic Fatty Liver DiseaseStomach NeoplasmsAdiposityBody Mass IndexGenome-Wide Association StudyHumansMendelian Randomization AnalysisObesityPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID37014069
PMCPMC10192008
OpenAlexW4362521513

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.