Evidence map›Paper›PMID 39394562›Full record

ArticleBMC medicine2024

Genetic architectures of the human hippocampus and those involved in neuropsychiatric traits.

Caibo Ning, Meng Jin, Yimin Cai, Linyun Fan, Kexin Hu, Zequn Lu, Ming Zhang, Can Chen, Yanmin Li, Naifan Hu and 21 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

31 authors.

Caibo Ning *Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Meng Jin *Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yimin Cai *Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Linyun FanDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Kexin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Zequn LuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Ming ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Can ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Yanmin LiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Naifan HuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Donghui ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Yizhuo LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Shuoni ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Yuan JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Chunyi HeDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Zhuo WangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Zilong CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Hanting LiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Gaoyuan LiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Qianying MaDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Hui GengDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Wen TianDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Heng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Xiaojun YangDepartment of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Chaoqun HuangDepartment of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Yongchang WeiDepartment of Gastrointestinal Oncology, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Bin LiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Ying ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
Xiangpan LiDepartment of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. rm001227@whu.edu.cn.
Xiaoping MiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China. xpmiao@whu.edu.cn.
Jianbo TianDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China. tianjb@whu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 2042022rc0026, 2042023kf1005Fundamental Research Funds for the Central Universities 2042024kf1012Key Program of National Natural Science Foundation of China NSFC-82130098Knowledge Innovation Program of Wuhan 2023020201010060Knowledge Innovation Program of Wuhan 2023020201020244Knowledge Innovation Program of Wuhan whkxjsj011, 2023020201010073National Key R&D Program of China 2022YFA0806601National Science Fund for Distinguished Young Scholars of China NSFC-81925032National Science Fund for Distinguished Young Scholars of Hubei Province of China 2023AFA046National Science Fund for Excellent Young Scholars NSFC-82322058Program of National Natural Science Foundation of China NSFC-82003547, NSFC-82373663Program of National Natural Science Foundation of China NSFC-82103929, NSFC-82273713rogram of Health Commission of Hubei Province WJ2023M045the Leading Talent Program of the Health Commission of Hubei Province EWT2173Young Elite Scientists Sponsorship Program by CAST 2022QNRC001
6 · The paper itself

Abstract

backgroundThe hippocampus, with its complex subfields, is linked to numerous neuropsychiatric traits. While most research has focused on its global structure or a few specific subfields, a comprehensive analysis of hippocampal substructures and their genetic correlations across a wide range of neuropsychiatric traits remains underexplored. Given the hippocampus's high heritability, considering hippocampal and subfield volumes (HASV) as endophenotypes for neuropsychiatric conditions is essential.

methodsWe analyzed MRI-derived volumetric data of hippocampal and subfield structures from 41,525 UK Biobank participants. Genome-wide association studies (GWAS) on 24 HASV traits were conducted, followed by genetic correlation, overlap, and Mendelian randomization (MR) analyses with 10 common neuropsychiatric traits. Polygenic risk scores (PRS) based on HASV traits were also evaluated for predicting these traits.

resultsOur analysis identified 352 independent genetic variants surpassing a significance threshold of 2.1 × 10

conclusionsThese findings highlight the extensive distribution of pleiotropic genetic determinants between HASVs and neuropsychiatric traits. Moreover, they suggest a significant potential for effectively managing and intervening in these diseases during their early stages.

Indexed as

Genome-Wide Association StudyHippocampusAgedFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMental DisordersMiddle AgedMultifactorial InheritanceHippocampusNeuropsychiatricParkinson’s diseasePleiotropic

Identifiers

PMID39394562
PMCPMC11470718

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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.