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The Genome-Wide Study of Human Social Behavior and Its Application in Sociology

Bibliographic Data

ID16948232
AuthorsPeter T Tanksley (0000-0002-3449-2838, University of Cincinnati), Ryan T Motz (0000-0002-8147-6582, University of Cincinnati), Rachel M Kail (University of Cincinnati), J C Barnes (0000-0001-6932-5397, University of Cincinnati), Hexuan Liu (0000-0001-7608-5969, University of Cincinnati, corresponding author)
Year2019
Volume4
Pages53-53
Publication date2019-06-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Sociology (JOURNAL)
Journal identifiersISSN: 2297-7775 • E-ISSN: 2297-7775
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fsoc.2019.00053
PMID33869376
OpenAlexW2955790749
LanguageEN
Citations received1
References cited85

Recent years have seen a push for the integration of modern genomic methodologies with sociological inquiry. The inclusion of genomic approaches promises to help address long-standing issues in sociology (e.g., selection effects), as well as open up new avenues for future research. This article reviews the substantive findings of behavior genetic/genomic research, both from the recent past (e.g., twin/adoption studies, candidate gene studies) and from contemporary genomic analyses. The article primarily focuses on modern genomic methods available to sociologists (e.g., polygenic score analysis) and their various applications for answering sociological questions. The article concludes by considering a number of areas to which genomic researchers and sociologists should pay close attention if a consilience between genomic methods and sociological research is to be fully realized

Consilience · Data science · Epistemology · Social research · Social science · Sociology · Computer Science · Genetic and phenotypic traits in livestock · Genetic Associations and Epidemiology · Genetic Mapping and Diversity in Plants and Animals

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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