Evidence map›Paper›PMID 38405718›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Gene Discovery and Biological Insights into Anxiety Disorders from a Multi-Ancestry Genome-wide Association Study of >1.2 Million Participants.

Eleni Friligkou, Solveig Løkhammer, Brenda Cabrera-Mendoza, Jie Shen, Jun He, Giovanni Deiana, Mihaela Diana Zanoaga, Zeynep Asgel, Abigail Pilcher, Luciana Di Lascio and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 6 countries.

Eleni Friligkou
Solveig Løkhammer
Brenda Cabrera-Mendoza
Jie Shen
Jun He
Giovanni Deiana
Mihaela Diana Zanoaga
Zeynep Asgel
Abigail Pilcher
Luciana Di Lascio
Ana Makharashvili
Dora Koller
Daniel S Tylee
Yale University · USHaukeland University Hospital · NOHumanitas University · ITUniversità di Camerino · IT

Funding

Leveraging genomic data to dissect the association of internalizing disorders with the risk, onset, and vulnerability of COVID-19RF1MH132337 · NIMH · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2022 to 2022
$3.7M
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR33DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2021 to 2023
$2.0M
NIDA NIH HHS R33 DA047527NIMH NIH HHS RF1 MH132337
6 · The paper itself

Abstract

We leveraged information from more than 1.2 million participants to investigate the genetics of anxiety disorders across five continental ancestral groups. Ancestry-specific and cross-ancestry genome-wide association studies identified 51 anxiety-associated loci, 39 of which are novel. Additionally, polygenic risk scores derived from individuals of European descent were associated with anxiety in African, Admixed-American, and East Asian groups. The heritability of anxiety was enriched for genes expressed in the limbic system, the cerebral cortex, the cerebellum, the metencephalon, the entorhinal cortex, and the brain stem. Transcriptome- and proteome-wide analyses highlighted 115 genes associated with anxiety through brain-specific and cross-tissue regulation. We also observed global and local genetic correlations with depression, schizophrenia, and bipolar disorder and putative causal relationships with several physical health conditions. Overall, this study expands the knowledge regarding the genetic risk and pathogenesis of anxiety disorders, highlighting the importance of investigating diverse populations and integrating multi-omics information.

Identifiers

PMID38405718
PMCPMC10889004
OpenAlexW4391846148

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.