Evidence map›Paper›PMID 26914462›Full record

ReviewBehavior genetics2016

The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research.

Joseph Lee Rodgers, William H Beasley, David E Bard, Kelly M Meredith, Michael D Hunter, Amber B Johnson, Maury Buster, Chengchang Li, Kim O May, S Mason Garrison and 3 more

Abstract readReview
In one paragraph

Review in Behavior genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Effects of Genetic Relatedness of Kin Pairs on Univariate ACE Model Performance.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

13 authors.

Joseph Lee RodgersDepartment of Psychology and Human Development, Vanderbilt University, 230 Appleton Pl, 552, Hobbs 202C, Nashville, TN, 37203, USA. jrodgers@ou.edu.
William H BeasleyUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
David E BardUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Kelly M MeredithOffice of Institutional Research, Oklahoma City University, Oklahoma City, OK, USA.
Michael D HunterUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Amber B JohnsonPortland State University, Portland, OR, USA.
Maury BusterAlabama State Personnel Department, Prattville, AL, USA.
Chengchang LiHSBC, Schaumburg, IL, USA.
Kim O MayDepartment of Psychology, College of Charleston, Charleston, SC, USA.
S Mason GarrisonDepartment of Psychology and Human Development, Vanderbilt University, 230 Appleton Pl, 552, Hobbs 202C, Nashville, TN, 37203, USA.
Warren B MillerTransnational Family Research Institute, Aptos, CA, USA.
Edwin van den OordSchool of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.
David C RoweUniversity of Arizona, Tucson, USA.

Funding

Biometrical Modeling of Fertility Using the NLSYR01HD043265 · NICHD · UNIVERSITY OF OKLAHOMA NORMAN · PI RODGERS, JOSEPH L. · 2003 to 2006
$1.1M
NLSY Kinship Links: Reliable and Valid Sibling IdentificationR01HD065865 · NICHD · UNIVERSITY OF OKLAHOMA · PI RODGERS, JOSEPH L. · 2011 to 2013
$534k
NICHD NIH HHS R01 HD043265NICHD NIH HHS R01 HD065865
6 · The paper itself

Abstract

The National Longitudinal Survey of Youth datasets (NLSY79; NLSY-Children/Young Adults; NLSY97) have extensive family pedigree information contained within them. These data sources are based on probability sampling, a longitudinal design, and a cross-generational and within-family data structure, with hundreds of phenotypes relevant to behavior genetic (BG) researchers, as well as to other developmental and family researchers. These datasets provide a unique and powerful source of information for BG researchers. But much of the information required for biometrical modeling has been hidden, and has required substantial programming effort to uncover-until recently. Our research team has spent over 20 years developing kinship links to genetically inform biometrical modeling. In the most recent release of kinship links from two of the NLSY datasets, the direct kinship indicators included in the 2006 surveys allowed successful and unambiguous linking of over 94 % of the potential pairs. In this paper, we provide details for research teams interested in using the NLSY data portfolio to conduct BG (and other family-oriented) research.

Indexed as

Databases as TopicFamilyGenetics, BehavioralChildHumansLongitudinal StudiesROC CurveBehavior geneticsBiometrical modelingCousinsKinship linksNLSY79NLSY97NLSYCSiblings

Identifiers

PMID26914462
PMCPMC5604233

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.