Evidence map›Paper›PMID 31425657›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2019

Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood.

Dianne F Newbury, Jenny L Gibson, Gina Conti-Ramsden, Andrew Pickles, Kevin Durkin, Umar Toseeb

Open access · hybridAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Dianne F NewburyDepartment of Biological and Medical Sciences, Headington Campus, Oxford Brookes University, United Kingdom.
Jenny L GibsonFaculty of Education, University of Cambridge, United Kingdom.
Gina Conti-RamsdenSchool of Health Sciences, The University of Manchester, United Kingdom.
Andrew PicklesDepartment of Biostatistics, Institute of Psychiatry, King's College London, United Kingdom.
Kevin DurkinSchool of Psychological Sciences, University of Strathclyde, United Kingdom.
Umar ToseebDepartment of Education, Derwent College, University of York, United Kingdom.
Google (United States) · USUniversity of Cambridge · GBUniversity of Manchester · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_19009Wellcome Trust
6 · The paper itself

Abstract

Purpose Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here, we investigate the possibility of shared biological effects by considering whether the same genetic variants, which are thought to influence language development, are also predictors of elevated psychosocial difficulties during childhood. Method Using data from the U.K.-based Avon Longitudinal Study of Parents and Children, we created a number of multi-single-nucleotide polymorphism polygenic profile scores, based on language and reading candidate genes (

Indexed as

Child LanguageMultifactorial InheritancePsychology, ChildAge FactorsChild, PreschoolCohort StudiesFemaleHumansInfantLanguageMale

Identifiers

PMID31425657
PMCPMC6808346
OpenAlexW2964694953

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.