Evidence map›Paper›PMID 23264207›Full record

ArticleBehavior genetics2013

A generalized Defries-Fulker regression framework for the analysis of twin data.

Laura C Lazzeroni, Amrita Ray

Abstract read
In one paragraph

Article in Behavior genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A Twin Study of Altered White Matter Heritability in Youth With Autism Spectrum Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2024
    Article
  2. Article
  3. Article
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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

2 authors.

Laura C LazzeroniDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305-5723, USA. lazzeroni@stanford.edu
Amrita Ray

Funding

A neuroimaging study of twin pairs with autismR01MH083972 · NIMH · STANFORD UNIVERSITY · PI HARDAN, ANTONIO · 2009 to 2013
$3.1M
Opioid Efficacy In Humans: A Twin StudyR01DA023063 · NIDA · STANFORD UNIVERSITY · PI ANGST, MARTIN STEPHAN, CLARK, DAVID J. · 2008 to 2010
$1.4M
6/6 - The Genetics of Endophenotypes and SchizophreniaR01MH086135 · NIMH · STANFORD UNIVERSITY · PI LAZZERONI, LAURA C. · 2010 to 2013
$1.3M
NIDA NIH HHS R01 DA023063NIDA NIH HHS R01DA023063NIMH NIH HHS R01 MH083972NIMH NIH HHS R01MH083972NIMH NIH HHS R01 MH086135NIMH NIH HHS R01MH086135
6 · The paper itself

Abstract

Twin studies compare the similarity between monozygotic twins to that between dizygotic twins in order to investigate the relative contributions of latent genetic and environmental factors influencing a phenotype. Statistical methods for twin data include likelihood estimation and Defries-Fulker regression. We propose a new generalization of the Defries-Fulker model that fully incorporates the effects of observed covariates on both members of a twin pair and is robust to violations of the Normality assumption. A simulation study demonstrates that the method is competitive with likelihood analysis. The Defries-Fulker strategy yields new insight into the parameter space of the twin model and provides a novel, prediction-based interpretation of twin study results that unifies continuous and binary traits. Due to the simplicity of its structure, extensions of the model have the potential to encompass generalized linear models, censored and truncated data; and gene by environment interactions.

Indexed as

Twin Studies as TopicAlgorithmsBronchopulmonary DysplasiaComputer SimulationGenetics, BehavioralHumansInfant, NewbornLikelihood FunctionsModels, StatisticalPhenotypeRecurrenceRegression AnalysisRisk FactorsTwins

Identifiers

PMID23264207
PMCPMC3573860

What OpenQuestion holds

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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.