Evidence map›Paper›PMID 35354222›Full record

ReviewJournal of child psychology and psychiatry, and allied disciplines2022

Research Review: A guide to computing and implementing polygenic scores in developmental research.

Andrea G Allegrini, Jessie R Baldwin, Wikus Barkhuizen, Jean-Baptiste Pingault

Abstract readReview
In one paragraph

Review in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Review
  15. Commentary: Will genomics revolutionise research on gene-environment interplay?Journal of child psychology and psychiatry, and allied disciplines · 2022
    Article
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.

Andrea G AllegriniDivision of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.ORCID 0000-0003-4048-4292
Jessie R BaldwinDivision of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.ORCID 0000-0002-5703-5058
Wikus BarkhuizenDivision of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.ORCID 0000-0001-5170-1470
Jean-Baptiste PingaultDivision of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.ORCID 0000-0003-2557-4716

Funding

MRF_ MRF-160-0002-ELP-PINGAWellcome Trust
6 · The paper itself

Abstract

The increasing availability of genotype data in longitudinal population- and family-based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions.

Indexed as

Multifactorial InheritanceAdolescentChildGenotypeHumansdevelopmental researchlongitudinal modelsPolygenic scores

Identifiers

PMID35354222
PMCPMC10108570

What OpenQuestion holds

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LicenceCC BY
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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.