Evidence map›Paper›PMID 35787050›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics.

Xianghong Hu, Jia Zhao, Zhixiang Lin, Yang Wang, Heng Peng, Hongyu Zhao, Xiang Wan, Can Yang

Registry-linked trialAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06666647 (Ambulance and Helicopter Response Times in Danish Emergency Medical Services), which is not on this map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
–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.

NCT06666647 active not recruitingnot on this mapstarted 2025, after this paper: background citation

Ambulance and Helicopter Response Times in Danish Emergency Medical Services: Protocol for an Epidemiological Study. The AHRTEMIS Study

TypeobservationalSponsorPeter Martin HansenRan2025 to 2026Enrolled2,500,000ConditionsEmergency Medical Services, Response, Triage, Survival OutcomesArmsTreatment by ambulance or helicopter services with response times
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. No causal relationship between thyroid function and Parkinson's disease: A bidirectional Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Shared genetic architecture and neurobiological pathways of problematic alcohol use and anxiety disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genetic and Proteomic Investigation of the Smoking-Parkinson's Disease Association.medRxiv : the preprint server for health sciences · 2026
    Article
  15. Article
  16. Winner's Curse Free Robust Mendelian Randomization with Summary Data.Journal of the American Statistical Association · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

8 authors.

Xianghong HuDepartment of Mathematics, The Hong Kong University of Science and Technology, The Hong Kong Special Administrative Region, China.ORCID 0000-0001-5260-3936
Jia ZhaoDepartment of Mathematics, The Hong Kong University of Science and Technology, The Hong Kong Special Administrative Region, China.ORCID 0000-0002-9107-8852
Zhixiang LinDepartment of Statistics, The Chinese University of Hong Kong, The Hong Kong Special Administrative Region, China.
Yang WangDepartment of Mathematics, The Hong Kong University of Science and Technology, The Hong Kong Special Administrative Region, China.
Heng PengDepartment of Mathematics, Hong Kong Baptist University, The Hong Kong Special Administrative Region, China.
Hongyu ZhaoDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06520.ORCID 0000-0003-1195-9607
Xiang WanResearch Center for Intelligent Systems in Big Data, Shen Zhen Research Institute of Big Data, Shen Zhen 518172, China.ORCID 0000-0002-2324-6527
Can YangDepartment of Mathematics, The Hong Kong University of Science and Technology, The Hong Kong Special Administrative Region, China.ORCID 0000-0002-4407-3055

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Mendelian randomization (MR) is a valuable tool for inferring causal relationships among a wide range of traits using summary statistics from genome-wide association studies (GWASs). Existing summary-level MR methods often rely on strong assumptions, resulting in many false-positive findings. To relax MR assumptions, ongoing research has been primarily focused on accounting for confounding due to pleiotropy. Here, we show that sample structure is another major confounding factor, including population stratification, cryptic relatedness, and sample overlap. We propose a unified MR approach, MR-APSS, which 1) accounts for pleiotropy and sample structure simultaneously by leveraging genome-wide information; and 2) allows the inclusion of more genetic variants with moderate effects as instrument variables (IVs) to improve statistical power without inflating type I errors. We first evaluated MR-APSS using comprehensive simulations and negative controls and then applied MR-APSS to study the causal relationships among a collection of diverse complex traits. The results suggest that MR-APSS can better identify plausible causal relationships with high reliability. In particular, MR-APSS can perform well for highly polygenic traits, where the IV strengths tend to be relatively weak and existing summary-level MR methods for causal inference are vulnerable to confounding effects.

Indexed as

Genetic PleiotropyGenome-Wide Association StudyMendelian Randomization AnalysisCausalityPhenotypeReproducibility of Resultscausal inferenceMendelian randomizationpleiotropysample structureselection bias

Identifiers

PMID35787050
PMCPMC9282238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.