Evidence mapPaperPMID 42239780Full record

ArticleResearch square2026

Identification of novel candidate neural genes for diet-induced obesity in outbred heterogeneous stock rats.

Thu Le, Teresa McGee, Osborne Seshie, Trangdai Bui, Gina Giorgio, Angela Beeson, Benjamin Johnson, Gracie Ang, Oksana Polesskaya, Abraham A Palmer and 3 more

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

13 authors.

Thu LeUniversity College London, Genetics Institute, London, United Kingdom.
Teresa McGeeUniversity of North Carolina, Chapel Hill, Department of Genetics, Chapel Hill, North Carolina, USA.
Osborne SeshieWake Forest University School of Medicine, Department of Internal Medicine, Section on Molecular Medicine, Winston-Salem, North Carolina, USA.
Trangdai BuiWake Forest University School of Medicine, Department of Internal Medicine, Section on Molecular Medicine, Winston-Salem, North Carolina, USA.
Gina GiorgioWake Forest University School of Medicine, Department of Internal Medicine, Section on Molecular Medicine, Winston-Salem, North Carolina, USA.
Angela BeesonWake Forest University School of Medicine, Department of Internal Medicine, Section on Molecular Medicine, Winston-Salem, North Carolina, USA.
Benjamin JohnsonUniversity of California San Diego, Department of Psychiatry, San Diego, California, USA.
Gracie AngUniversity of California San Diego, Department of Psychiatry, San Diego, California, USA.
Oksana PolesskayaUniversity of California San Diego, Department of Psychiatry, San Diego, California, USA.
Abraham A PalmerUniversity of California San Diego, Department of Psychiatry, San Diego, California, USA.
William ValdarUniversity of North Carolina, Chapel Hill, Department of Genetics, Chapel Hill, North Carolina, USA.
Richard MottUniversity College London, Genetics Institute, London, United Kingdom.
Leah C Solberg WoodsWake Forest University School of Medicine, Department of Internal Medicine, Section on Molecular Medicine, Winston-Salem, North Carolina, USA.

Funding

Statistical Modeling of Multiparental and Genetic Reference PopulationsR35GM127000 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Valdar · 2018 to 2026
$3.1M
NIGMS NIH HHS R35 GM127000
6 · The paper itself

Abstract

Background: Obesity is caused by genetics, the environment (e.g., diet) and their interactions. The brain, specifically the hypothalamus, plays an important role in obesity, but controlled studies using human brain tissue are not possible. The goal of this study was to conduct a genome wide association study using outbred heterogeneous stock (HS) rats to map genetic loci associated with diet-induced obesity. This was followed by RNAseq in the ventromedial hypothalamus (VMH) to identify candidate causal obesity genes. Methods: We measured multiple metabolic traits (including fat and lean mass, fasting glucose, insulin, and lipids, glucose tolerance, food intake and activity levels) after long-term consumption of a low-fat (LFD) or high-fat diet (HFD) in 2000 HS rats, split equally by sex and diet. Rats were genotyped using low-coverage whole genome sequencing. RNAseq data was obtained from the VMH of a sub-set of 400 HS rats split equally by sex and diet. We used linear mixed models to detect physiological and expression quantitative trait loci (pQTLs and eQTLs, respectively) in the full dataset and separately by diet and sex. Genes with cis-eQTLs that overlapped pQTLs were assessed as candidate causal genes through mediation analysis. We also identified VMH genes differentially expressed by diet in both sexes, followed by pathway analysis. Results: We identified 47 pQTLs where six mapped multiple traits, 11 were diet-specific and 13 were sex-specific. We identified nine candidate causal genes, including Conclusions: We identified novel candidate genes as neural regulators of diet-induced obesity and related traits and confirmed the importance of accounting for diet and sex in genetic studies of obesity.

Indexed as

Gene x diet interactionsgenome wide association studyheterogeneous stock ratshypothalamusobesity

Identifiers

PMID42239780
PMCPMC13228855

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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 Socratic graph.