Evidence map›Paper›PMID 37510260›Full record

ArticleGenes2023

A Combined Effect of Polygenic Scores and Environmental Factors on Individual Differences in Depression Level.

Anastasiya Kazantseva, Yuliya Davydova, Renata Enikeeva, Rustam Mustafin, Sergey Malykh, Marina Lobaskova, Alexander Kanapin, Inga Prokopenko, Elza Khusnutdinova

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

9 authors at 5 institutions in 2 countries.

Anastasiya KazantsevaInstitute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-3744-8058
Yuliya DavydovaInstitute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0003-3508-4710
Renata EnikeevaInstitute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-4301-5283
Rustam MustafinDepartment of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.ORCID 0000-0002-4091-382X
Sergey MalykhPsychological Institute, Russian Academy of Education, 125009 Moscow, Russia.ORCID 0000-0002-3786-7447
Marina LobaskovaPsychological Institute, Russian Academy of Education, 125009 Moscow, Russia.ORCID 0000-0003-0318-6480
Alexander KanapinLaboratory of Neurocognitive Genomics, Department of Genetics and Fundamental Medicine, Ufa University of Science and Technology, 450076 Ufa, Russia.ORCID 0000-0001-9802-5297
Inga ProkopenkoDepartment of Clinical & Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0003-1624-7457
Elza KhusnutdinovaInstitute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0003-2987-3334
Ufa Institute of Chemistry · RULomonosov Moscow State University · RUBashkir State Medical University · RUPsychological Institute of the Russian Academy of Education · RUUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of depression could be evaluated through its multifactorial nature using the polygenic score (PGS) approach. Assuming a "clinical continuum" hypothesis of mental diseases, a preliminary assessment of individuals with elevated risk for developing depression in a non-clinical group is of high relevance. In turn, epidemiological studies suggest including social/lifestyle factors together with PGS to address the "missing heritability" problem. We designed regression models, which included PGS using 27 SNPs and social/lifestyle factors to explain individual differences in depression levels in high-education students from the Volga-Ural region (VUR) of Eurasia. Since issues related to population stratification in PGS scores may lead to imprecise variant effect estimates, we aimed to examine a sensitivity of PGS calculated on summary statistics of depression and neuroticism GWAS from Western Europeans to assess individual proneness to depression levels in the examined sample of Eastern Europeans. A depression score was assessed using the revised version of the Beck Depression Inventory (BDI) in 1065 young adults (age 18-25 years, 79% women, Eastern European ancestry). The models based on weighted PGS demonstrated higher sensitivity to evaluate depression level in the full dataset, explaining up to 2.4% of the variance (

Indexed as

DepressionMajor Depressive DisorderAdolescentAdultFemaleHumansIndividualityMaleMultifactorial InheritancePolymorphism, Single NucleotideYoung Adultdepressionpolygenic scoreregression modelssensitivity analysissocial/lifestyle factors

Identifiers

PMID37510260
PMCPMC10379734
OpenAlexW4382202278

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.