Evidence map›Paper›PMID 37628681›Full record

ReviewGenes2023

Implementing Core Genes and an Omnigenic Model for Behaviour Traits Prediction in Genomics.

Tautvydas Rancelis, Ingrida Domarkiene, Laima Ambrozaityte, Algirdas Utkus

Open access · goldAbstract readReview
In one paragraph

Review 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
1.3field-weighted citation impact, top 17% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  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

4 authors at 1 institution in 1 country.

Tautvydas RancelisInstitute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu Str. 2, LT-08661 Vilnius, Lithuania.ORCID 0000-0002-1317-6334
Ingrida DomarkieneInstitute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu Str. 2, LT-08661 Vilnius, Lithuania.ORCID 0000-0002-2088-8620
Laima AmbrozaityteInstitute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu Str. 2, LT-08661 Vilnius, Lithuania.ORCID 0000-0001-5631-7005
Algirdas UtkusInstitute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu Str. 2, LT-08661 Vilnius, Lithuania.
Vilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high number of genome variants are associated with complex traits, mainly due to genome-wide association studies (GWAS). Using polygenic risk scores (PRSs) is a widely accepted method for calculating an individual's complex trait prognosis using such data. Unlike monogenic traits, the practical implementation of complex traits by applying this method still falls behind. Calculating PRSs from all GWAS data has limited practical usability in behaviour traits due to statistical noise and the small effect size from a high number of genome variants involved. From a behaviour traits perspective, complex traits are explored using the concept of core genes from an omnigenic model, aiming to employ a simplified calculation version. Simplification may reduce the accuracy compared to a complete PRS encompassing all trait-associated variants. Integrating genome data with datasets from various disciplines, such as IT and psychology, could lead to better complex trait prediction. This review elucidates the significance of clear biological pathways in understanding behaviour traits. Specifically, it highlights the essential role of genes related to hormones, enzymes, and neurotransmitters as robust core genes in shaping these traits. Significant variations in core genes are prominently observed in behaviour traits such as stress response, impulsivity, and substance use.

Indexed as

Genome-Wide Association StudyGenomicsImpulsive BehaviorMultifactorial InheritancePhenotypebehaviour traitsbiological pathwayscomplex inheritancecore genesenzymeshormonesneurotransmittersomnigenic model

Identifiers

PMID37628681
PMCPMC10454355
OpenAlexW4385878135

What OpenQuestion holds

Textmetadata
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.