Evidence map›Paper›PMID 42820398›Full record

ArticleGenetic epidemiology2026

Refining Genetic Instruments for Dietary Intake Mendelian Randomization Using Phenome-Wide Association Studies.

Kristen J Sutton, Julie E Gervis, Moomal Jatoi, Liang-Dar Hwang, Audrey E Hendricks, Debashis Ghosh, Kenneth E Westerman, Joanne B Cole

Abstract read
In one paragraph

Article in Genetic epidemiology, 2026. 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

8 authors.

Kristen J SuttonDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-3704-3560
Julie E GervisCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0125-9930
Moomal JatoiDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, Colorado, USA.
Liang-Dar HwangInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-5535-2199
Audrey E HendricksDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, Colorado, USA.
Debashis GhoshDepartment of Biostatistics and Informatics, University of Colorado Anschutz, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-6618-1316
Kenneth E WestermanMetabolism Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Joanne B ColeDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-9520-2788

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
NIDDK National Research Service Award (NRSA) T32 Diversity Administrative SupplementT32DK007658 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Kristen Elizabeth Boyle, Ihuoma U Eneli · 1991 to 2026
$6.0M
Methods to enable robust and efficient use of genetic summary dataR35HG011293 · NHGRI · UNIVERSITY OF COLORADO DENVER · PI HENDRICKS, AUDREY E · 2020 to 2024
$2.1M
Genetics as a tool to improve phenotypes and associations with human diseaseR35GM154792 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Joanne Burnette Cole · 2024 to 2026
$1.2M
Genetically harmonized dietary intake and causal relationships with diabetes-related outcomesR00DK127196 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI COLE, JOANNE BURNETTE · 2023 to 2025
$737k
Australian Research Council Discovery Early Career Researcher Award DE240100014Grohne-Stepp Endowed Chair from the University of Colorado Cancer CenterNHGRI NIH HHS R35 HG011293NHGRI NIH HHS R35HG011293NIDDK NIH HHS R00 DK127196NIDDK NIH HHS T32 DK007658NIGMS NIH HHS R35 GM154792NIGMS NIH HHS R35GM154792NLM NIH HHS T15 LM009451NLM NIH HHS T15LM009451the National Institute of Diabetes and Digestive and Kidney Diseases R00DK127196the National Institute of Diabetes and Digestive and Kidney Diseases T32DK007658-35
6 · The paper itself

Abstract

Most Mendelian randomization (MR) of dietary intake use the full set of genome-wide significant (GWS) variants in the instrumental variable (IV), likely biasing causal estimates due to pleiotropy. To characterize the common methods to handle pleiotropy in dietary intake MR, we conducted a scoping review of the literature on dietary intake MR studies. We extracted information on IV construction, assessment of pleiotropy, and sensitivity analyzes revealing that only 20% of studies used an IV with functional plausibility. In the absence of functionally-informed IVs, we tested if two-sample MR using GWS variants filtered for pleiotropic associations through phenome-wide association studies (PheWAS) could identify diet-health relationships supported by existing nutrition science, focusing on oily fish and alcohol intake, the latter of which has a functionally-informed IV for comparison (rs1229984 in the ADH1B gene). To further explore this question, we performed multivariable MR and employed MR-CAUSE. The numerous models consistently supported that oily fish reduced triglycerides. In contrast, GWS and PheWAS-filtered IVs suggested that alcohol decreased alanine aminotransferase levels, whereas the functional IV (rs1229984) found the opposite expected relationship. Isolating the direct effect of dietary intake from GWS IV remains challenging. Future work should focus on identifying functional variants impacting dietary behavior.

Indexed as

DietGenome-Wide Association StudyMendelian Randomization AnalysisPhenomicsAlcohol DehydrogenaseAlcohol DrinkingGenetic PleiotropyHumansPhenotypePolymorphism, Single NucleotideTriglyceridesADH1B protein, humanAlcohol DehydrogenaseTriglyceridescausal inferencedietary intakedirect effectfunctional variantmendelian randomization

Identifiers

PMID42820398
PMCPMC13628697

What Socratic 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 Socratic graph.