Evidence map›Paper›PMID 41510264›Full record

ArticleResearch square2025

Recurrent & non-recurrent copy number variants in Native Americans and a cosmopolitan sample in relation to Alcohol Use Disorder and other psychiatric diseases.

Salma M Wakil, Keita Morisaki, Pei-Hong Shen, Dylan G Sucich, Melanie Schwandt, Fielding Hejtmancik, Cheryl Marietta, Qiaoping Yuan, Nancy Diazgranados, Colin A Hodgkinson and 1 more

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In one paragraph

Article in Research square, 2025. 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
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1 · What the graph read from it

What it found

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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

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Salma M WakilNational Institute on Alcohol Abuse and Alcoholism.
Keita MorisakiNational Institute on Alcohol Abuse and Alcoholism.
Pei-Hong ShenNational Institute on Alcohol Abuse and Alcoholism.
Dylan G SucichNational Institute on Alcohol Abuse and Alcoholism.
Melanie SchwandtNational Institute on Alcohol Abuse and Alcoholism.
Fielding HejtmancikNational Eye Institute.
Cheryl MariettaNational Institute on Alcohol Abuse and Alcoholism.
Qiaoping YuanNational Institute on Alcohol Abuse and Alcoholism.
Nancy DiazgranadosNational Institute on Alcohol Abuse and Alcoholism.
Colin A HodgkinsonNational Institute on Alcohol Abuse and Alcoholism.
David GoldmanNational Institute on Alcohol Abuse and Alcoholism.

Funding

Genetic influences on alcohol use disorder in Native AmericansZIAAA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$6.7M
Intramural NIH HHS ZIA AA000281
6 · The paper itself

Abstract

Background: Copy Number Variants (CNVs) can alter disease susceptibility by gene deletion, duplication and other mechanisms. CNVs are implicated in neuropsychiatric diseases. However, their rarity or Results: Large (> 200 kb) rCNVs were abundant in PI and SWI, almost all carrying at least one rCNV, and with some CNVs found in both geographically and linguistically distinct tribes. In patients carrying rCNVs, gene deletions led to haploinsufficiency, and duplications overexpression. Haplotype analysis revealed a common chromosome 6p21.33 rCNV that persisted in Native Americans for at least 750 generations, leading to haploinsufficiency of at least two genes. Gene-based CNV burden did not predict AUD or other psychiatric disorders. However, an rCNV, found in PI and duplicating three genes within the 22q11.2 Velocardiofacial Syndrome region, may be associated with psychiatric disease. Among 27 heterozygotes, 22 had AUD (OR = 3.18 [1.18-8.59], p = 0.01), and 24 had a psychiatric diagnosis (OR = 4.8 [1.4-16], p = 0.006, FDR 0.07 adjusted for 13 common rCNVs tested). Conclusion: Recurrent CNVs are prevalent in Native American populations and have ancient origins. While gene-based CNV burden did not predict AUD or other psychiatric disorders, specific rCNVs, such as those within 22q11.2 region, may confer higher risk for psychiatric conditions. Other less abundant rCNVs and non-recurrent CNVs might also alter risk, the effects of such CNVs being undetectable via genome-wide association studies with single SNPs.

Indexed as

Alcohol Use DisorderCopy number variationPsychiatric DiseaseSubstance Use DisorderVelocardiofacial Syndrome

Identifiers

PMID41510264
PMCPMC12776451

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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.