Evidence map›Paper›PMID 37942709›Full record

ArticleDemography2023

The Big (Genetic) Sort? A Research Note on Migration Patterns and Their Genetic Imprint in the United Kingdom.

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

Open access · diamondAbstract readComment
PubMed Publisher
In one paragraph

Article in Demography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shiro FuruyaDepartment of Sociology, Center for Demography of Health and Aging, and Center for Demography and Ecology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-5683-8759
Jihua LiuDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0009-0001-9208-7902
Zhongxuan SunDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0009-0004-5682-2078
Qiongshi LuCenter for Demography of Health and Aging, Department of Biostatistics and Medical Informatics, and Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-4514-0969
Jason M FletcherCenter for Demography of Health and Aging, Center for Demography and Ecology, La Follette School of Public Affairs, Department of Population Health Science, and Department of Agricultural and Applied Economics, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-8843-0563
University of Wisconsin–Madison · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research note reinvestigates Abdellaoui et al.'s (2019) findings that genetically selective migration may lead to persistent and accumulating socioeconomic and health inequalities between types (coal mining or non-coal mining) of places in the United Kingdom. Their migration measure classified migrants who moved to the same type of place (coal mining to coal mining or non-coal mining to non-coal mining) into "stay" categories, preventing them from distinguishing migrants from nonmigrants. We reinvestigate the question of genetically selective migration by examining migration patterns between places rather than place types and find genetic selectivity in whether people migrate and where. For example, we find evidence of positive selection: people with genetic variants correlated with better education moved from non-coal mining to coal mining places with our measure of migration. Such findings were obscured in earlier work that could not distinguish nonmigrants from migrants.

Indexed as

Transients and MigrantsEducational StatusHumansUnited KingdomBiodemographyMigrationPolygenic indexUK Biobank

Identifiers

PMID37942709
OpenAlexW4388538875

What OpenQuestion holds

Textmetadata
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.