Evidence map›Paper›PMID 39618330›Full record

ArticlePsychological medicine2024

The geographical distribution of the family-genetic risk score for drug use disorder in Sweden and its co-localization with areas of social deprivation.

Kenneth S Kendler, Ali Mansourian, Pengxiang Zhao, Henrik Ohlsson, Kathleen Stewart, Jan Sundquist, Bo Malmberg, Kristina Sundquist

Abstract read
In one paragraph

Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8689-6570
Ali MansourianDepartment of Physical Geography and Ecosystem Science, Lund University, Malmö, Sweden.
Pengxiang ZhaoDepartment of Physical Geography and Ecosystem Science, Lund University, Malmö, Sweden.
Henrik OhlssonCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kathleen StewartCenter for Geospatial Information System, Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Bo MalmbergDepartment of Geography of Stockholm University, Stockholm, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.

Funding

NIH HHS DA030005
6 · The paper itself

Abstract

backgroundDrug use Disorder (DUD), the risk for which is substantially influenced by both genetic and social factors, is geographically concentrated in high-risk regions. An important step toward understanding this pattern is to examine geographical distributions of the genetic liability to DUD and a key demographic risk factor - social deprivation.

methodsWe calculated the mean family genetic risk score (FGRS) for DUD ((FGRS

resultsUsing 2018 data, substantial spatial heterogeneity was seen in the distribution of the genetic risk for DUD in Sweden as a whole and in its three major urban centers which was confirmed by hot-spot analyses. Across DeSOs, FGRS

conclusionsThe geographical distribution of the genetic risk to DUD is quite variable in Sweden. DeSO levels of s.d. and FRGS

Indexed as

Genetic Predisposition to DiseaseSubstance-Related DisordersFamilyFemaleGenetic Risk ScoreHumansMaleRisk FactorsSwedendrug use disordergenetic riskgeographysocial deprivationSweden

Identifiers

PMID39618330
PMCPMC11650187

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