Evidence map›Paper›PMID 30379395›Full record

ArticleGenes, brain, and behavior2019

A QTL on chromosome 3q23 influences processing speed in humans.

Emma E M Knowles, Samuel R Mathias, Josephine Mollon, Amanda Rodrigue, Marinka M G Koenis, Thomas D Dyer, Harald H H Goring, Joanne E Curran, Rene L Olvera, Ravi Duggirala and 3 more

Open access · greenAbstract read
In one paragraph

Article in Genes, brain, and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 87% of its field
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 citations in OpenAlex.

  1. Trial
  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

13 authors at 5 institutions in 1 country.

Emma E M KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0003-0642-267X
Samuel R MathiasDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Josephine MollonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Amanda RodrigueDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Marinka M G KoenisDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Thomas D DyerSouth Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas of the Rio Grande Valley School of Medicine, Brownsville, Texas.
Harald H H GoringSouth Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas of the Rio Grande Valley School of Medicine, Brownsville, Texas.
Joanne E CurranSouth Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas of the Rio Grande Valley School of Medicine, Brownsville, Texas.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Ravi DuggiralaSouth Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas of the Rio Grande Valley School of Medicine, Brownsville, Texas.
Laura AlmasyDepartment of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
John BlangeroSouth Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas of the Rio Grande Valley School of Medicine, Brownsville, Texas.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
The University of Texas Rio Grande Valley · USYale University · USChildren's Hospital of Philadelphia · USHartford Hospital · USThe University of Texas Health Science Center at San Antonio · US

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCRR NIH HHS C06 RR020547NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Processing speed is a psychological construct that refers to the speed with which an individual can perform any cognitive operation. Processing speed correlates strongly with general cognitive ability, declines sharply with age and is impaired across a number of neurological and psychiatric disorders. Thus, identifying genes that influence processing speed will likely improve understanding of the genetics of intelligence, biological aging and the etiologies of numerous disorders. Previous genetics studies of processing speed have relied on simple phenotypes (eg, mean reaction time) derived from single tasks. This strategy assumes, erroneously, that processing speed is a unitary construct. In the present study, we aimed to characterize the genetic architecture of processing speed by using a multidimensional model applied to a battery of cognitive tasks. Linkage and QTL-specific association analyses were performed on the factors from this model. The randomly ascertained sample comprised 1291 Mexican-American individuals from extended pedigrees. We found that performance on all three distinct processing-speed factors (Psychomotor Speed; Sequencing and Shifting and Verbal Fluency) were moderately and significantly heritable. We identified a genome-wide significant quantitative trait locus (QTL) on chromosome 3q23 for Psychomotor Speed (LOD = 4.83). Within this locus, we identified a plausible and interesting candidate gene for Psychomotor Speed (Z = 2.90, P = 1.86 × 10

Indexed as

CognitionQuantitative Trait LociAdolescentAdultAgedAged, 80 and overChromosomes, Human, Pair 3FemaleHumansIntelligenceMaleMiddle AgedPedigreeassociationcognitiongeneticslinkageprocessing speed

Identifiers

PMID30379395
PMCPMC6458095
OpenAlexW2899270849

What OpenQuestion holds

Textmetadata
LicenceTDM
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.