In one paragraphArticle in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
52 authors.
Margot van Der VeijerVrije Universiteit Amsterdam.
Rafael AhlskogUppsala University.
Rosa CheesmanUniversity of Oslo.
Kai LimKing's College London.
Chandra ReynoldsUniversity of Colorado Boulder.
Juan Madrid-ValeroUniversity of Murcia.
Teresa LeeUniversity of New South Wales.
David AmesUniversity of Melbourne.
Vibeke CattsUniversity of New South Wales.
Antti LatvalaUniversity of Helsinki.
Eero VuoksimaaUniversity of Helsinki.
Mark TaylorKarolinska Institutet.
Nancy PedersenKarolinska Institute.
Robert KeersQueen Mary University of London.
Funding
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0MColorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife2)R01AG046938 · NIA · UNIVERSITY OF COLORADO · PI REYNOLDS, CHANDRA A, WADSWORTH, SALLY J · 2015 to 2024
$18.5MTRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JOHNSON, THOMAS E. · 1990 to 2008
$17.5MThe development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6MCauses and consequences of mental disorders: The environmental and genetic influences of parents on offspring.R01MH130448 · NIMH · UNIVERSITY OF COLORADO · PI Matthew Charles Keller · 2022 to 2026
$3.7MClarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6MGene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2MADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9MSES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9MGENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8MDEMENTIA IN TWINSR01AG008724 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET · 1990 to 2002
$1.4MTwin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3MEPA EP-C-15-001NIAAA NIH HHS K02 AA018755NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA009203NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R01 AA015416NIAAA NIH HHS R37 AA012502NIA NIH HHS P01 AG008761NIA NIH HHS R01 AG008724NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG017561NIA NIH HHS R01 AG028555NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG046938NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470NIMH NIH HHS R01 MH130448Wellcome Trust
6 · The paper itselfAbstract
Individual sensitivity to environmental exposures may be genetically influenced. This genotype-by-environment interplay implies differences in phenotypic variance across genotypes. However, environmental sensitivity genetic variants have proven challenging to detect. GWAS of monozygotic twin differences is a family-based variance analysis method, which is more robust to systemic biases that impact population-based methods. We combined data from up to 21,792 monozygotic twins (10,896 pairs) from 11 studies to conduct the largest GWAS meta-analysis of monozygotic phenotypic differences in children and adolescents/adults for seven psychiatric and neurodevelopmental phenotypes: attention deficit hyperactivity disorder (ADHD) symptoms, autistic traits, anxiety and depression symptoms, psychotic-like experiences, neuroticism, and wellbeing. The SNP-heritability of variance in these phenotypes were estimated (h2: 0% to 18%), but were imprecise. We identified a total of 13 genome-wide significant associations (SNP, gene, and gene-set), including genes related to stress-reactivity for depression, growth factor-related genes for autistic traits and catecholamine uptake-related genes for psychotic-like experiences. Monozygotic twins are an important new source of evidence about the genetics of environmental sensitivity.
Indexed as
environmental sensitivitygene-environmental interactionvariance effectsvQTLs
Identifiers
PMID38746362
PMCPMC11092831
What OpenQuestion holds
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