Evidence map›Paper›PMID 38974368›Full record

ArticleBritish educational research journal2024

Implications of the genomic revolution for education research and policy.

Tim T Morris, Stephanie von Hinke, Lindsey Pike, Neil R Ingram, George Davey Smith, Marcus R Munafò, Neil M Davies

Abstract read
In one paragraph

Article in British educational research journal, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Tim T MorrisMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.ORCID https://orcid.org/0000-0001-8178-6815
Stephanie von HinkeMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.
Lindsey PikeMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.
Neil R IngramSchool of Education University of Bristol Bristol UK.
George Davey SmithMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.
Marcus R MunafòMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.
Neil M DaviesMedical Research Council Integrative Epidemiology Unit University of Bristol Bristol UK.ORCID https://orcid.org/0000-0002-2460-0508

Funding

Medical Research Council MC_UU_00011/1
6 · The paper itself

Abstract

Research at the intersection of social science and genomics, 'sociogenomics', is transforming our understanding of the interplay between genomics, individual outcomes and society. It has interesting and maybe unexpected implications for education research and policy. Here we review the growing sociogenomics literature and discuss its implications for educational researchers and policymakers. We cover key concepts and methods in genomic research into educational outcomes, how genomic data can be used to investigate social or environmental effects, the methodological strengths and limitations of genomic data relative to other observational social data, the role of intergenerational transmission and potential policy implications. The increasing availability of genomic data in studies can produce a wealth of new evidence for education research. This may provide opportunities for disentangling the environmental and genomic factors that influence educational outcomes and identifying potential mechanisms for intervention.

Indexed as

educational attainmentgeneticspolicysocial sciencesociogenomics

Identifiers

PMID38974368
PMCPMC11225938

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.