Evidence map›Paper›PMID 35110547›Full record

ArticleNature communications2022

A robust method for collider bias correction in conditional genome-wide association studies.

Osama Mahmoud, Frank Dudbridge, George Davey Smith, Marcus Munafo, Kate Tilling

Abstract 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 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 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.

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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Leveraging Mendelian randomization to inform drug discovery and development for ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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

5 authors.

Osama MahmoudDepartment of Mathematical Sciences, University of Essex, Colchester, UK. o.mahmoud@essex.ac.uk.ORCID 0000-0003-0342-6704
Frank DudbridgeDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0002-8817-8908
George Davey SmithMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-1407-8314
Marcus MunafoMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-4049-993X
Kate TillingMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-1010-8926

Funding

Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00011/7Medical Research Council MR/S037055/1
6 · The paper itself

Abstract

Estimated genetic associations with prognosis, or conditional on a phenotype (e.g. disease incidence), may be affected by collider bias, whereby conditioning on the phenotype induces associations between causes of the phenotype and prognosis. We propose a method, 'Slope-Hunter', that uses model-based clustering to identify and utilise the class of variants only affecting the phenotype to estimate the adjustment factor, assuming this class explains more variation in the phenotype than any other variant classes. Simulation studies show that our approach eliminates the bias and outperforms alternatives even in the presence of genetic correlation. In a study of fasting blood insulin levels (FI) conditional on body mass index, we eliminate paradoxical associations of the underweight loci: COBLLI; PPARG with increased FI, and reveal an association for the locus rs1421085 (FTO). In an analysis of a case-only study for breast cancer mortality, a single region remains associated with more pronounced results.

Indexed as

Genome-Wide Association StudyAlgorithmsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiasBody Mass IndexBreast NeoplasmsComputational BiologyFastingGenetic Predisposition to DiseaseHumansMachine LearningPhenotypePolymorphism, Single NucleotideRisk FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, human

Identifiers

PMID35110547
PMCPMC8810923

What OpenQuestion holds

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LicenceCC BY
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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.