Evidence map›Paper›PMID 25378290›Full record

ArticleBehavior genetics2015

The National Longitudinal Study of Adolescent to Adult Health (Add Health) sibling pairs genome-wide data.

Matthew B McQueen, Jason D Boardman, Benjamin W Domingue, Andrew Smolen, Joyce Tabor, Ley Killeya-Jones, Carolyn T Halpern, Eric A Whitsel, Kathleen Mullan Harris

Abstract read
In one paragraph

Article in Behavior genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

9 authors.

Matthew B McQueenDepartment of Integrative Physiology, University of Colorado Boulder, 354 UCB, Boulder, USA, matt.mcqueen@colorado.edu.
Jason D Boardman
Benjamin W Domingue
Andrew Smolen
Joyce Tabor
Ley Killeya-Jones
Carolyn T Halpern
Eric A Whitsel
Kathleen Mullan Harris

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
Add Health: A Genotype and Phenotype Resource for the Global Scientific CommunityR01HD073342 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2012 to 2016
$3.6M
Social Demographic Moderation of Genome Wide Associations for Body Mass IndexR01HD060726 · NICHD · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D, MCQUEEN, MATTHEW B · 2010 to 2014
$2.7M
NICHD NIH HHS P01 HD031921NICHD NIH HHS P01-HD31921NICHD NIH HHS P2C HD050924NICHD NIH HHS P2C HD066613NICHD NIH HHS R01 HD060726NICHD NIH HHS R01-HD060726NICHD NIH HHS R01 HD073342
6 · The paper itself

Abstract

Here we provide a detailed description of the genome-wide information available on the National Longitudinal Study of Adolescent to Adult Health (Add Health) sibling pair subsample (Harris et al. in Twin Res Hum Genet 16:391-398, 2013). A total of 2,020 samples were genotyped (including duplicates) arising from 1946 Add Health individuals from the sibling pairs subsample. After various steps for quality control (QC) and quality assurance (QA), we have high quality genome-wide data available on 1,888 individuals. In this report, we first highlight the QC and QA steps that were taken to prune the data of poorly performing samples and genetic markers. We further estimate the pairwise biological relationships using genome-wide data and compare those estimates to the assumed relationships in Add Health. Additionally, using genome-wide data from known regional reference populations from Europe, West Africa, North and South America, Japan and China, we estimate the relative genetic ancestry of the respondents. Finally, rather than conducting a traditional cross-sectional genome-wide association study (GWAS) of body mass index (BMI), we opted to utilize the extensive publicly available genome-wide information to conduct a weighted GWAS of longitudinal BMI while accounting for both family and ethnic variation.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudySiblingsAdolescentAdolescent MedicineAdultBody Mass IndexFemaleGenetic MarkersGenotypeGlobal HealthHumansLongitudinal StudiesMaleObesityPhenotypeGenetic Markers

Identifiers

PMID25378290
PMCPMC4289640

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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.