Evidence map›Paper›PMID 22174699›Full record

SynthesisPLoS genetics2011

An assessment of the individual and collective effects of variants on height using twins and a developmentally informative study design.

Scott I Vrieze, Matt McGue, Michael B Miller, Lisa N Legrand, Nicholas J Schork, William G Iacono

Open access · goldAbstract readMeta-AnalysisTwin Study
In one paragraph

Synthesis in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

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

  1. Pooled it
  2. The Minnesota Center for Twin and Family Research genome-wide association study.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012
    Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

6 authors at 3 institutions in 1 country.

Scott I VriezePsychology Department, University of Minnesota, Minneapolis, Minnesota, United States of America. vrie0006@umn.edu
Matt McGue
Michael B Miller
Lisa N Legrand
Nicholas J Schork
William G Iacono
University of Minnesota · USMinneapolis VA Medical Center · USScripps Research Institute · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
SCRIPPS TRANSLATIONAL SCIENCE INSTITUTE (UL1)UL1RR025774 · NCRR · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2008 to 2011
$16.3M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
TWIN STUDY OF FEMALE ALCOHOLISMS AND OTHER DISORDERSR01AA009367 · NIAAA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MCGUE, MATTHEW K. · 1992 to 2013
$9.0M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Twin Family Study of Vulnerability to Substance AbuseR37DA005147 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2009 to 2018
$6.4M
Genomic Association Study of Bipolar DisorderR01MH078151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2007 to 2009
$5.5M
Adolescent drinking and midlife outcomes: A prospective cotwin control studyR37AA009367 · NIAAA · UNIVERSITY OF MINNESOTA · PI MCGUE, MATTHEW K. · 2016 to 2024
$5.4M
TWIN STUDY OF ADHD, CD, AND SUBSTANCE ABUSER01DA013240 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI IACONO, WILLIAM G. · 2000 to 2010
$5.0M
Scripps Translational Science Institute (UL1)UL1TR000109 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2012 to 2013
$4.0M
NCATS NIH HHS UL1 TR000109NCRR NIH HHS UL1 RR025774NIAAA NIH HHS R01 AA009367NIAAA NIH HHS R01 AA011886NIAAA NIH HHS R01 AA09367NIAAA NIH HHS R01 AA11886NIAAA NIH HHS R37 AA009367NIA NIH HHS R01 AG031224NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG023122-01NIDA NIH HHS R01 DA013240NIDA NIH HHS R01 DA024417NIDA NIH HHS R01 DA13240NIDA NIH HHS R37 DA005147NIDA NIH HHS R37 DA05147NIDA NIH HHS RC2 DA029475NIDA NIH HHS U01 DA024417NIMH NIH HHS 5T32 MH017069NIMH NIH HHS N01 MH022005NIMH NIH HHS P50 MH081755NIMH NIH HHS R01 MH078151NIMH NIH HHS R01 MH094483NIMH NIH HHS T32 MH017069NINDS NIH HHS U54 NS056883
6 · The paper itself

Abstract

In a sample of 3,187 twins and 3,294 of their parents, we sought to investigate association of both individual variants and a genotype-based height score involving 176 of the 180 common genetic variants with adult height identified recently by the GIANT consortium. First, longitudinal observations on height spanning pre-adolescence through adulthood in the twin sample allowed us to investigate the separate effects of the previously identified SNPs on pre-pubertal height and pubertal growth spurt. We show that the effect of SNPs identified by the GIANT consortium is primarily on prepubertal height. Only one SNP, rs7759938 in LIN28B, approached a significant association with pubertal growth. Second, we show how using the twin data to control statistically for environmental variance can provide insight into the ultimate magnitude of SNP effects and consequently the genetic architecture of a phenotype. Specifically, we computed a genetic score by weighting SNPs according to their effects as assessed via meta-analysis. This weighted score accounted for 9.2% of the phenotypic variance in height, but 14.3% of the corresponding genetic variance. Longitudinal samples will be needed to understand the developmental context of common genetic variants identified through GWAS, while genetically informative designs will be helpful in accurately characterizing the extent to which these variants account for genetic, and not just phenotypic, variance.

Indexed as

AdolescentAdultBody HeightChildDNA-Binding ProteinsFemaleGene-Environment InteractionGenetic VariationGenome-Wide Association StudyGenotypeHumansMalePhenotypePolymorphism, Single NucleotidePubertyRNA-Binding ProteinsDNA-Binding ProteinsLIN28B protein, humanRNA-Binding Proteins

Identifiers

PMID22174699
PMCPMC3234218
OpenAlexW1996990138

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.