Evidence map›Paper›PMID 39279912›Full record

ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2024

GENIUS-MAWII: for robust Mendelian randomization with many weak invalid instruments.

Ting Ye, Zhonghua Liu, Baoluo Sun, Eric Tchetgen Tchetgen

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. A focusing framework for testing bi-directional causal effects in Mendelian randomization.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025
    Article
  7. Identification and Inference with Invalid Instruments.Annual review of statistics and its application · 2025
    Article
  8. Review
  9. Article
  10. Article
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.

Ting YeDepartment of Biostatistics, University of Washington, Seattle, USA.ORCID https://orcid.org/0000-0001-6009-641X
Zhonghua LiuDepartment of Biostatistics, Columbia University, New York City, USA.ORCID https://orcid.org/0000-0003-3048-9823
Baoluo SunDepartment of Statistics and Data Science, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0003-0122-9993
Eric Tchetgen TchetgenDepartment of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, USA.

Funding

Next Generation Missing Data Methods in HIV ResearchR01AI127271 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI TCHETGEN TCHETGEN, ERIC JOEL · 2017 to 2021
$3.2M
Novel Designs and Methods to Remove Hidden Confounding Bias in Health SciencesR01AG065276 · NIA · UNIVERSITY OF PENNSYLVANIA · PI TCHETGEN TCHETGEN, ERIC JOEL · 2020 to 2024
$2.4M
Theory and methods for mediation and interactionR01CA222147 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TCHETGEN TCHETGEN, ERIC JOEL, VANDERWEELE, TYLER · 2018 to 2022
$2.1M
Identification and Inference for Longitudinal Causal Mediation Analysis in HIVR01AI104459 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI SHPITSER, ILYA, VANDERWEELE, TYLER · 2013 to 2017
$2.0M
NCI NIH HHS R01 CA222147NIAID NIH HHS R01 AI104459NIAID NIH HHS R01 AI127271NIA NIH HHS R01 AG065276
6 · The paper itself

Abstract

Mendelian randomization (MR) addresses causal questions using genetic variants as instrumental variables. We propose a new MR method, G-Estimation under No Interaction with Unmeasured Selection (GENIUS)-MAny Weak Invalid IV, which simultaneously addresses the 2 salient challenges in MR: many weak instruments and widespread horizontal pleiotropy. Similar to MR-GENIUS, we use heteroscedasticity of the exposure to identify the treatment effect. We derive influence functions of the treatment effect, and then we construct a continuous updating estimator and establish its asymptotic properties under a many weak invalid instruments asymptotic regime by developing novel semiparametric theory. We also provide a measure of weak identification, an overidentification test, and a graphical diagnostic tool.

Indexed as

causal inferenceexclusion restrictionheteroscedastic errorsinstrumental variablesmany weak momentspleiotropy

Identifiers

PMID39279912
PMCPMC11398887

What OpenQuestion holds

Textmetadata
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.