Evidence map›Paper›PMID 36310177›Full record

ArticleNature communications2022

Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology.

Qing Cheng, Xiao Zhang, Lin S Chen, Jin Liu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
20.9field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 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 3 institutions in 3 countries.

Qing ChengCenter of Statistical Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.ORCID 0000-0001-5144-4515
Xiao ZhangCentre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-5891-8912
Lin S ChenDepartment of Public Health Sciences, The University of Chicago, Chicago, IL, USA. lchen@health.bsd.uchicago.edu.ORCID 0000-0002-6645-5708
Jin LiuCentre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore. jin.liu@duke-nus.edu.sg.ORCID 0000-0002-5707-2078
Duke-NUS Medical School · SGChicago Department of Public Health · USSouthwestern University of Finance and Economics · CN

Funding

Arsenic and the Human Genome: susceptibility and response to exposure Supplement 4R35ES028379 · NIEHS · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2017 to 2024
$5.6M
Integrative multivariate association and genomic analysesR01GM108711 · NIGMS · UNIVERSITY OF CHICAGO · PI CHEN, LIN · 2014 to 2022
$3.1M
Genetic mechanisms underlying sexual dimorphism in cancer and response to therapyR01CA229618 · NCI · UNIVERSITY OF COLORADO DENVER · PI HUANG, RONG STEPHANIE, STRANGER, BARBARA E · 2019 to 2024
$2.9M
Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NCI NIH HHS R01 CA229618NIEHS NIH HHS R35 ES028379NIGMS NIH HHS R01 GM108711
6 · The paper itself

Abstract

Mendelian randomization (MR) harnesses genetic variants as instrumental variables (IVs) to study the causal effect of exposure on outcome using summary statistics from genome-wide association studies. Classic MR assumptions are violated when IVs are associated with unmeasured confounders, i.e., when correlated horizontal pleiotropy (CHP) arises. Such confounders could be a shared gene or inter-connected pathways underlying exposure and outcome. We propose MR-CUE (MR with Correlated horizontal pleiotropy Unraveling shared Etiology and confounding), for estimating causal effect while identifying IVs with CHP and accounting for estimation uncertainty. For those IVs, we map their cis-associated genes and enriched pathways to inform shared genetic etiology underlying exposure and outcome. We apply MR-CUE to study the effects of interleukin 6 on multiple traits/diseases and identify several S100 genes involved in shared genetic etiology. We assess the effects of multiple exposures on type 2 diabetes across European and East Asian populations.

Indexed as

Diabetes Mellitus, Type 2Mendelian Randomization AnalysisGenetic PleiotropyGenetic VariationGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID36310177
PMCPMC9618026
OpenAlexW4307953159

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.