Evidence map›Paper›PMID 27459196›Full record

ArticlePLoS genetics2016

Conservation of Distinct Genetically-Mediated Human Cortical Pattern.

Qian Peng, Andrew Schork, Hauke Bartsch, Min-Tzu Lo, Matthew S Panizzon, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Lars T Westlye, William S Kremen, Terry L Jernigan and 11 more

Abstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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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

21 authors.

Qian PengDepartment of Human Biology, J. Craig Venter Institute, La Jolla, California, United States of America.
Andrew SchorkMultimodal Imaging Laboratory, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.
Hauke BartschMultimodal Imaging Laboratory, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.
Min-Tzu LoMultimodal Imaging Laboratory, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.
Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, California, United States of America.
Pediatric Imaging, Neurocognition and Genetics Study
Alzheimer’s Disease Neuroimaging Initiative
Lars T WestlyeNORMENT, KG Jebsen Centre for Psychosis Research, Department of Psychology, University of Oslo, Oslo, Norway.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, California, United States of America.
Terry L JerniganDepartment of Cognitive Science, University of California, San Diego, La Jolla, California, United States of America.
Stephanie Le HellardDr. E. Martens Research Group of Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.
Vidar M SteenDr. E. Martens Research Group of Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.
Thomas EspesethNORMENT, KG Jebsen Centre for Psychosis Research, Department of Psychology, University of Oslo, Oslo, Norway.
Matt HuentelmanNeurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America.
Asta K HåbergDepartment of Neuroscience, Norwegian University of Science and Technology (NTNU), Norway.ORCID 0000-0002-9007-1202
Ingrid AgartzNorwegian Center for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Srdjan DjurovicNORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Norway.
Ole A AndreassenNorwegian Center for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Anders M DaleMultimodal Imaging Laboratory, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.
Nicholas J SchorkDepartment of Human Biology, J. Craig Venter Institute, La Jolla, California, United States of America.
Chi-Hua ChenMultimodal Imaging Laboratory, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
Genome Wide Association of Coronary Artery Disease and Related Risk FactorsR01HL089655 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI BROECKEL, ULRICH · 2008 to 2012
$3.8M
Genomic Predictors of Combat Stress Vulnerability and ResilienceR01MH093500 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIEVERGELT, CAROLINE M · 2011 to 2013
$2.7M
The Bipolar Genome StudyR01MH094483 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CRAIG, DAVID W, EDENBERG, HOWARD J · 2012 to 2014
$2.2M
Identifying the Polygenic Basis of the Human Brain and Psychiatric DisordersR01MH100351 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2013 to 2017
$2.1M
NHLBI NIH HHS R01 HL089655NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG035020NIA NIH HHS R01 AG050595NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG023122NIDA NIH HHS R01 DA030976NIDA NIH HHS RC2 DA029475NIMH NIH HHS R01 MH093500NIMH NIH HHS R01 MH094483NIMH NIH HHS R01 MH100351
6 · The paper itself

Abstract

The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets.

Indexed as

AdolescentAdultAgedAged, 80 and overBrain MappingCadaverCerebral CortexChildChild, PreschoolFemaleFrontal LobeGene Expression ProfilingGene Expression RegulationHumansMagnetic Resonance ImagingMale

Identifiers

PMID27459196
PMCPMC4961377

What OpenQuestion holds

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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.