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Understanding Internal Migration

A Research Note Providing an Assessment of Migration Selection With Genetic Data

Bibliographic Data

ID10967802
AuthorsShiro Furuya (0000-0001-5683-8759, University of Wisconsin–Madison, corresponding author), Jihua Liu (0009-0001-9208-7902, University of Pennsylvania), Zhongxuan Sun (0009-0004-5682-2078, University of Wisconsin–Madison), Qiongshi Lu (0000-0002-4514-0969, University of Wisconsin–Madison), Jason M Fletcher (0000-0001-8843-0563, University of Wisconsin–Madison)
Year2023
Volume60
Issue6
Pages1631-1648
Publication date2023-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherDuke University Press (PUBLISHER • US)
DOI10.1215/00703370-11053145
PMID37937916
OpenAlexW4388491415
LanguageEN
Citations received1
References cited49

Migration is selective, resulting in inequalities between migrants and nonmigrants. However, investigating migration selection is empirically challenging because combined pre- and post-migration data are rarely available. We propose an alternative approach to assessing internal migration selection by integrating genetic data, enabling an investigation of migration selection with cross-sectional data collected post-migration. Using data from the UK Biobank, we utilized standard tools from statistical genetics to conduct a genome-wide association study (GWAS) for migration distance. We then calculated genetic correlations to compare GWAS results for migration with those for other characteristics. Given that individual genetics are determined at conception, these analyses allow a unique exploration of the association between pre-migration characteristics and migration. Results are generally consistent with the healthy migrant literature: genetics correlated with longer migration distance are associated with higher socioeconomic status and better health. We also extended the analysis to 53 traits and found novel correlations between migration and several physical health, mental health, personality, and sociodemographic traits

Biobank · Biology · Genetic association · Genome-wide association study · Genotype · Geography · Internal migration · Population · Selection (genetic algorithm · Single-nucleotide polymorphism · Socioeconomic status · Sociology · Birth, Development, and Health · Computer Science · Demography · Genetic Associations and Epidemiology · Genetics · Health disparities and outcomes

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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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