Evidence map›Paper›PMID 38263619›Full record

ArticleGenetic epidemiology2024

simmrd: An open-source tool to perform simulations in Mendelian randomization.

Noah Lorincz-Comi, Yihe Yang, Xiaofeng Zhu

Abstract read
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In one paragraph

Article in Genetic epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Noah Lorincz-ComiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-0517-2499
Yihe YangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Xiaofeng ZhuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-0037-411X

Funding

BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
Statistical Analysis of Large Genomic Data SetsR01HG011052 · NHGRI · CASE WESTERN RESERVE UNIVERSITY · PI XIAOFENG ZHU · 2020 to 2026
$3.3M
NHGRI NIH HHS R01 HG011052NHLBI NIH HHS T32 HL007567
6 · The paper itself

Abstract

Mendelian randomization (MR) has become a popular tool for inferring causality of risk factors on disease. There are currently over 45 different methods available to perform MR, reflecting this extremely active research area. It would be desirable to have a standard simulation environment to objectively evaluate the existing and future methods. We present simmrd, an open-source software for performing simulations to evaluate the performance of MR methods in a range of scenarios encountered in practice. Researchers can directly modify the simmrd source code so that the research community may arrive at a widely accepted framework for researchers to evaluate the performance of different MR methods.

Indexed as

Mendelian Randomization AnalysisModels, GeneticCausalityGenetic VariationHumansRisk Factorsbiascausal inferenceinstrumental variablesMendelian randomizationsimulation

Identifiers

PMID38263619
PMCPMC11524156

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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.