Literature DB >> 29182012

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

MengZhen Liu1, Gianna Rea-Sandin2, Johanna Foerster3, Lars Fritsche3, Katharine Brieger4, Christopher Clark4, Kevin Li4, Anita Pandit4, Gregory Zajac4, Gonçalo R Abecasis4, Scott Vrieze1.   

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.

Entities:  

Keywords:  IQ; education; genetic association; online assessment; personality; polygenic score

Year:  2017        PMID: 29182012      PMCID: PMC5930146          DOI: 10.1177/1073191117744048

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  19 in total

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  3 in total

1.  Genes for Good: Engaging the Public in Genetics Research via Social Media.

Authors:  Katharine Brieger; Gregory J M Zajac; Anita Pandit; Johanna R Foerster; Kevin W Li; Aubrey C Annis; Ellen M Schmidt; Chris P Clark; Karly McMorrow; Wei Zhou; Jingjing Yang; Alan M Kwong; Andrew P Boughton; Jinxi Wu; Chris Scheller; Tanvi Parikh; Alejandro de la Vega; David M Brazel; Maia Frieser; Gianna Rea-Sandin; Lars G Fritsche; Scott I Vrieze; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2019-06-13       Impact factor: 11.025

2.  Educational attainment polygenic score predicts inhibitory control and academic skills in early and middle childhood.

Authors:  Gianna Rea-Sandin; Veronica Oro; Emma Strouse; Sierra Clifford; Melvin N Wilson; Daniel S Shaw; Kathryn Lemery-Chalfant
Journal:  Genes Brain Behav       Date:  2021-08-03       Impact factor: 3.708

3.  Polygenic Scores for Cognitive Abilities and Their Association with Different Aspects of General Intelligence-A Deep Phenotyping Approach.

Authors:  Erhan Genç; Caroline Schlüter; Christoph Fraenz; Larissa Arning; Dorothea Metzen; Huu Phuc Nguyen; Manuel C Voelkle; Fabian Streit; Onur Güntürkün; Robert Kumsta; Sebastian Ocklenburg
Journal:  Mol Neurobiol       Date:  2021-05-05       Impact factor: 5.590

  3 in total

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