Evidence map›Paper›PMID 38405973›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWAS.

Yu Chen, Sihan Liu, Zongyao Ren, Feiran Wang, Yi Jiang, Rujia Dai, Fangyuan Duan, Cong Han, Zhilin Ning, Yan Xia and 16 more

Abstract 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Yu Chen
Sihan Liu
Zongyao Ren
Feiran Wang
Yi Jiang
Rujia Dai
Fangyuan Duan
Cong Han
Zhilin Ning
Yan Xia
Miao Li
Kai Yuan
Wenying Qiu
Xiao-Xin Yan
Jiapei Dai
Richard F Kopp
Jufang Huang
Shuhua Xu
Beisha Tang
Eric R Gamazon
Tim Bigdeli
Elliot Gershon
Hailiang Huang
Chao Ma
Chunyu Liu

Funding

Gene Expression Regulation in Brains of East Asian, African, and European Descent Explains Schizophrenia GWAS in Diverse Populations.R01MH126459 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI Chunyu Liu · 2022 to 2026
$3.7M
NIMH NIH HHS R01 MH126459
6 · The paper itself

Abstract

Research on brain expression quantitative trait loci (eQTLs) has illuminated the genetic underpinnings of schizophrenia (SCZ). Yet, the majority of these studies have been centered on European populations, leading to a constrained understanding of population diversities and disease risks. To address this gap, we examined genotype and RNA-seq data from African Americans (AA, n=158), Europeans (EUR, n=408), and East Asians (EAS, n=217). When comparing eQTLs between EUR and non-EUR populations, we observed concordant patterns of genetic regulatory effect, particularly in terms of the effect sizes of the eQTLs. However, 343,737 cis-eQTLs (representing ∼17% of all eQTLs pairs) linked to 1,276 genes (about 10% of all eGenes) and 198,769 SNPs (approximately 16% of all eSNPs) were identified only in the non-EUR populations. Over 90% of observed population differences in eQTLs could be traced back to differences in allele frequency. Furthermore, 35% of these eQTLs were notably rare (MAF < 0.05) in the EUR population. Integrating brain eQTLs with SCZ signals from diverse populations, we observed a higher disease heritability enrichment of brain eQTLs in matched populations compared to mismatched ones. Prioritization analysis identified seven new risk genes (

Identifiers

PMID38405973
PMCPMC10888997

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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.