Evidence map›Paper›PMID 30941828›Full record

ArticleGenetic epidemiology2019

Common genetic variants have associations with human cortical brain regions and risk of schizophrenia.

Xuan Bi, Long Feng, Shiying Wang, Zijie Lin, Tengfei Li, Bingxin Zhao, Hongtu Zhu, Heping Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Xuan BiInformation and Decision Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota.
Long FengDepartment of Biostatistics, Yale University, New Haven, Connecticut.
Shiying WangDepartment of Biostatistics, Yale University, New Haven, Connecticut.
Zijie LinDepartment of Statistics, University of Virginia, Charlottesville, Virginia.
Tengfei LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Bingxin ZhaoDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Hongtu ZhuDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Heping ZhangDepartment of Biostatistics, Yale University, New Haven, Connecticut.ORCID 0000-0002-0688-4076

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
Statistical Methods in Genetic Studies of Substance UseR01DA016750 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2016
$3.3M
Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Analysis of Big Data Squared in Biomedical StudiesR01MH116527 · NIMH · YALE UNIVERSITY · PI ZHANG, HEPING · 2018 to 2022
$2.3M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R01 DA016750NIDA NIH HHS RC2 DA029475NIMH NIH HHS R01 MH086633NIMH NIH HHS R01 MH116527NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983
6 · The paper itself

Abstract

Schizophrenia is a highly heritable mental disorder and is reported to be associated with measurements in cortical regions of the human brain. In this study, we considered genome-wide association studies to uncover genetic effects on cortical regions and prodromal symptoms of schizophrenia. Specifically, area, thickness, and volume of 66 cortical regions derived from magnetic resonance imaging scans of 1,445 children and adolescents from the Philadelphia Neurodevelopmental Cohort were studied. Two common variants were identified as being associated with two prefrontal cortical regions (one significant variant rs11601331 on chromosome 11p11 for right rostral middle frontal gyral area, p = 1.97 × 10

Indexed as

Genetic VariationAdolescentAdultCerebral CortexChildCohort StudiesFemaleGenome-Wide Association StudyHumansLogistic ModelsMagnetic Resonance ImagingMalePolymorphism, Single NucleotideRisk FactorsSchizophreniaYoung Adultcortical regionsgenome-wide association studiesimaging traitsintermediate phenotypesschizophrenia

Identifiers

PMID30941828
PMCPMC6559856

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Registered trials

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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.