Evidence map›Paper›PMID 29182012›Full record

ArticleAssessment2020

Validating Online Measures of Cognitive Ability in Genes for Good, a Genetic Study of Health and Behavior.

MengZhen Liu, Gianna Rea-Sandin, Johanna Foerster, Lars Fritsche, Katharine Brieger, Christopher Clark, Kevin Li, Anita Pandit, Gregory Zajac, Gonçalo R Abecasis and 1 more

Abstract readValidation Study
In one paragraph

Article in Assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

11 authors.

MengZhen LiuUniversity of Minnesota, Minneapolis, MN, USA.
Gianna Rea-SandinArizona State University, Tempe, AZ, USA.
Johanna FoersterUniversity of Trondelag, Trondheim, Norway.
Lars FritscheUniversity of Trondelag, Trondheim, Norway.
Katharine BriegerUniversity of Michigan, Ann Arbor, MI, USA.
Christopher ClarkUniversity of Michigan, Ann Arbor, MI, USA.
Kevin LiUniversity of Michigan, Ann Arbor, MI, USA.
Anita PanditUniversity of Michigan, Ann Arbor, MI, USA.
Gregory ZajacUniversity of Michigan, Ann Arbor, MI, USA.
Gonçalo R AbecasisUniversity of Michigan, Ann Arbor, MI, USA.
Scott VriezeUniversity of Minnesota, Minneapolis, MN, USA.

Funding

Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Genetic Association Meta-Analyses of Smoking and Drinking for the Sequencing AgeR01DA037904 · NIDA · UNIVERSITY OF MINNESOTA · PI VRIEZE, SCOTT IAN · 2015 to 2019
$2.4M
Social Media, Online Measures, and Substance Use Development in Adolescent TwinsR01AA023974 · NIAAA · UNIVERSITY OF COLORADO · PI VRIEZE, SCOTT IAN · 2014 to 2016
$1.6M
Method to Enhance the Rare Variant Genetic Architecture Analysis in Meta-AnalysesR01HG008983 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2016 to 2019
$1.6M
Tools for integrative genomics and disease association study for the X chromosomeR01GM126479 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2018 to 2021
$1.2M
Methods to Unveil the Genetic Architecture for Nicotine Dependence via NGS dataR21DA040177 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2015 to 2016
$447k
NHGRI NIH HHS R01 HG008983NHGRI NIH HHS T32 HG000040NIAAA NIH HHS R01 AA023974NIDA NIH HHS R01 DA037904NIDA NIH HHS R21 DA040177NIDA NIH HHS U01 DA041120NIGMS NIH HHS R01 GM126479
6 · The paper itself

Abstract

Genetic association studies routinely require many thousands of participants to achieve sufficient power, yet accumulation of large well-assessed samples is costly. We describe here an effort to efficiently measure cognitive ability and personality in an online genetic study, Genes for Good. We report on the first 21,550 participants with relevant phenotypic data, 7,458 of whom have been genotyped genome-wide. Measures of crystallized and fluid intelligence reflected a two-dimensional latent ability space, with items demonstrating adequate item-level characteristics. The Big Five Inventory questionnaire revealed the expected five-factor model of personality. Cognitive measures predicted educational attainment over and above personality characteristics, as expected. We found that a genome-wide polygenic score of educational attainment predicted educational level, accounting for 4%, 4%, and 2.7% of the variance in educational attainment, verbal reasoning, and spatial reasoning, respectively. In summary, the online cognitive measures in Genes for Good appear to perform adequately and demonstrate expected associations with personality, education, and an education-based polygenic score. Results indicate that online cognitive assessment is one avenue to accumulate large samples of individuals for genetic research of cognitive ability.

Indexed as

CognitionPersonalityAdultBehaviorFemaleGenesGenetic Association StudiesGenotypeHealthHumansIntelligenceIntelligence TestsMaleMiddle AgedPersonality InventoryPsychological Testseducationgenetic associationIQonline assessmentpersonalitypolygenic score

Identifiers

PMID29182012
PMCPMC5930146

What OpenQuestion holds

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Read underepoch 390

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.