Evidence map›Paper›PMID 40061331›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Gene dosage architecture across complex traits.

Sayeh Kazem, Kuldeep Kumar, Martineau Jean-Louis, Guillaume Huguet, Thomas Renne, Zohra Saci, Worrawat Engchuan, Omar Shanta, Bhooma Thiruvahindrapuram, Jeffrey R MacDonald and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

17 authors.

Sayeh KazemCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Kuldeep KumarCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Martineau Jean-LouisCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Guillaume HuguetCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Thomas RenneCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Zohra SaciCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Worrawat EngchuanCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Omar ShantaCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Bhooma ThiruvahindrapuramCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Jeffrey R MacDonaldCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Celia M T GreenwoodCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Stephen W SchererCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Laura AlmasyCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Jonathan SebatCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
David C GlahnCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Guillaume DumasCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.
Sébastien JacquemontCentre de recherche Azrieli, CHU Sainte-Justine and University of Montréal, Canada.

Funding

Large-Scale Evaluation of the Effect of Rare Genetic Variants on Psychiatric Symptoms and Cognitive AbilityU01MH119690 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ALMASY, LAURA A., GLAHN, DAVID C · 2019 to 2023
$5.9M
NIMH NIH HHS U01 MH119690
6 · The paper itself

Abstract

Copy number variants (CNVs) have large effects on complex traits, but they are rare and remain challenging to study. As a result, our understanding of biological functions linking gene dosage to complex traits remains limited, and whether these functions sensitive to gene dosage are similar to those underlying the effects of rare single nucleotide variants (SNVs) and common variants remains unknown. Methods: We developed FunBurd, a functional burden analysis, to test the association of CNVs aggregated within functional gene sets. We applied this approach in 500,000 individuals from the UK Biobank to associate 43 complex traits with CNVs disrupting 172 gene sets across tissues and cell types. We compared CNV findings with those from common variants and LoF (Loss of Function) SNVs in the same cohort using the same functional gene sets. Results: All 43 traits showed FDR significant associations with CNVs. Brain tissue and neuronal cell-types showed the highest levels of pleiotropy. Most of the functional gene set associations could, in part, be explained by genetic constraint, except for brain related processes. Shared genetic contributions between pairs of traits were concordant across types of variants, but on average 2-fold higher, for rare CNVs and SNVs compared to common variants.Functional enrichment across traits found limited overlap between CNVs and common variants. Moreover, the effects of deletions and duplications were negatively correlated for most traits.In conclusion, we present new methods to separate the contributions of genetic constraint and gene function to the associations of CNVs with complex traits. Overall, the functional convergence between different types of variants -even between deletions and duplications-remains limited.

Identifiers

PMID40061331
PMCPMC11888502

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.