Understanding Internal Migration: A Research Note Providing an Assessment of Migration Selection With Genetic Data.

IF 3.6 1区社会学 Q1 DEMOGRAPHY Demography Pub Date : 2023-12-01 DOI:10.1215/00703370-11053145

Shiro Furuya, Jihua Liu, Zhongxuan Sun, Qiongshi Lu, Jason M Fletcher

{"title":"Understanding Internal Migration: A Research Note Providing an Assessment of Migration Selection With Genetic Data.","authors":"Shiro Furuya, Jihua Liu, Zhongxuan Sun, Qiongshi Lu, Jason M Fletcher","doi":"10.1215/00703370-11053145","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48394,"journal":{"name":"Demography","volume":" ","pages":"1631-1648"},"PeriodicalIF":3.6000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Demography","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1215/00703370-11053145","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

了解内部迁徙：利用遗传数据评估迁徙选择的研究说明。

移民是有选择性的，导致移民和非移民之间的不平等。然而，调查移民选择在经验上具有挑战性，因为移民前后的综合数据很少可用。我们提出了一种通过整合遗传数据来评估内部迁徙选择的替代方法，从而能够利用迁徙后收集的横断面数据来调查迁徙选择。利用英国生物库的数据，我们利用统计遗传学的标准工具对迁徙距离进行了全基因组关联研究（GWAS）。然后，我们计算了遗传相关性，将迁移的GWAS结果与其他特征的结果进行比较。鉴于个体遗传学是在受孕时决定的，这些分析允许对迁徙前特征和迁徙之间的联系进行独特的探索。研究结果与健康移民文献基本一致：与较长移民距离相关的遗传学与较高的社会经济地位和更好的健康状况相关。我们还将分析扩展到53个特征，发现移民与几种身体健康、心理健康、个性和社会人口特征之间存在新的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Demography DEMOGRAPHY-

CiteScore

5.90

自引率

2.90%

发文量

期刊介绍： Since its founding in 1964, the journal Demography has mirrored the vitality, diversity, high intellectual standard and wide impact of the field on which it reports. Demography presents the highest quality original research of scholars in a broad range of disciplines, including anthropology, biology, economics, geography, history, psychology, public health, sociology, and statistics. The journal encompasses a wide variety of methodological approaches to population research. Its geographic focus is global, with articles addressing demographic matters from around the planet. Its temporal scope is broad, as represented by research that explores demographic phenomena spanning the ages from the past to the present, and reaching toward the future. Authors whose work is published in Demography benefit from the wide audience of population scientists their research will reach. Also in 2011 Demography remains the most cited journal among population studies and demographic periodicals. Published bimonthly, Demography is the flagship journal of the Population Association of America, reaching the membership of one of the largest professional demographic associations in the world.