Evidence map›Paper›PMID 26010633›Full record

ArticleJAMA2015

Copy number variations and cognitive phenotypes in unselected populations.

Katrin Männik, Reedik Mägi, Aurélien Macé, Ben Cole, Anna L Guyatt, Hashem A Shihab, Anne M Maillard, Helene Alavere, Anneli Kolk, Anu Reigo and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 5 pooled it
22.2field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 5 syntheses or guidelines pooled it, 217 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 9 institutions in 6 countries.

Katrin MännikCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland2Estonian Genome Center, University of Tartu, Tartu.
Reedik MägiEstonian Genome Center, University of Tartu, Tartu.
Aurélien MacéDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland4Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Ben ColeDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis.
Anna L GuyattBristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Hashem A ShihabBristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom7MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Anne M MaillardDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland.
Helene AlavereEstonian Genome Center, University of Tartu, Tartu.
Anneli KolkEstonian Genome Center, University of Tartu, Tartu8Department of Neurology and Neurorehabilitation, Children's Clinic, Tartu University Hospital, Tartu, Estonia.
Anu ReigoEstonian Genome Center, University of Tartu, Tartu.
Evelin MihailovEstonian Genome Center, University of Tartu, Tartu.
Liis LeitsaluEstonian Genome Center, University of Tartu, Tartu9Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Anne-Maud FerreiraCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland4Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Margit NõukasEstonian Genome Center, University of Tartu, Tartu9Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Alexander TeumerInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Erika SalviDeparment of Health Sciences, University of Milan, Milan, Italy.
Daniele CusiDeparment of Health Sciences, University of Milan, Milan, Italy12Institute of Biomedical Technologies, Italian National Research Council, Milan, Italy.
Matt McGueDepartment of Psychology, University of Minnesota, Minneapolis.
William G IaconoDepartment of Psychology, University of Minnesota, Minneapolis.
Tom R GauntBristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom7MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Jacques S BeckmannSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Sébastien JacquemontDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland.
Zoltán KutalikDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland4Swiss Institute of Bioinformatics, Lausanne, Switzerland14Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Nathan PankratzDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis.
Nicholas TimpsonBristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom7MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Andres MetspaluEstonian Genome Center, University of Tartu, Tartu9Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Alexandre ReymondCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
University of Tartu · EEUniversity of Lausanne · CHUniversity of Bristol · GBUniversity of Milan · ITUniversity of Minnesota · USUniversity of Minnesota Medical Center · USSIB Swiss Institute of Bioinformatics · CHTartu University Hospital · EEUniversitätsmedizin Greifswald · DE

Funding

Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
TWIN STUDY OF FEMALE ALCOHOLISMS AND OTHER DISORDERSR01AA009367 · NIAAA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MCGUE, MATTHEW K. · 1992 to 2013
$9.0M
Twin Family Study of Vulnerability to Substance AbuseR37DA005147 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2009 to 2018
$6.4M
A Longitudinal Study of Adopted Youth and Their FamiliesR01MH066140 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MCGUE, MATTHEW K. · 2003 to 2013
$5.8M
TWIN/FAMILY STUDY OF VULNERABILITY TO SUBSTANCE ABUSER01DA005147 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI IACONO, WILLIAM G · 1987 to 2007
$5.5M
Adolescent drinking and midlife outcomes: A prospective cotwin control studyR37AA009367 · NIAAA · UNIVERSITY OF MINNESOTA · PI MCGUE, MATTHEW K. · 2016 to 2024
$5.4M
TWIN STUDY OF ADHD, CD, AND SUBSTANCE ABUSER01DA013240 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI IACONO, WILLIAM G. · 2000 to 2010
$5.0M
Adult consequences of youth substance use: Twin study enriched for SUD riskR01DA036216 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2013 to 2017
$3.2M
SIBLING MODELS OF ADOLESCENT ALCOHOL USE AND ABUSER01AA011886 · NIAAA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MCGUE, MATTHEW K. · 1998 to 2008
$2.5M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentR01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2011 to 2011
$1.6M
Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/8NIAAA NIH HHS AA09367NIAAA NIH HHS AA11886NIAAA NIH HHS R01 AA009367NIAAA NIH HHS R01 AA011886NIAAA NIH HHS R37 AA009367NIDA NIH HHS DA024417NIDA NIH HHS DA05147NIDA NIH HHS DA13240NIDA NIH HHS R01 DA005147NIDA NIH HHS R01 DA013240NIDA NIH HHS R01 DA024417NIDA NIH HHS R01 DA036216NIDA NIH HHS R37 DA005147NIDA NIH HHS U01 DA024417NIMH NIH HHS MH066140NIMH NIH HHS R01 MH066140Wellcome Trust 102215Wellcome Trust 102433/Z/13/Z
6 · The paper itself

Abstract

importanceThe association of copy number variations (CNVs), differing numbers of copies of genetic sequence at locations in the genome, with phenotypes such as intellectual disability has been almost exclusively evaluated using clinically ascertained cohorts. The contribution of these genetic variants to cognitive phenotypes in the general population remains unclear.

objectiveTo investigate the clinical features conferred by CNVs associated with known syndromes in adult carriers without clinical preselection and to assess the genome-wide consequences of rare CNVs (frequency ≤0.05%; size ≥250 kilobase pairs [kb]) on carriers' educational attainment and intellectual disability prevalence in the general population. DESIGN, SETTING, AND

participantsThe population biobank of Estonia contains 52,000 participants enrolled from 2002 through 2010. General practitioners examined participants and filled out a questionnaire of health- and lifestyle-related questions, as well as reported diagnoses. Copy number variant analysis was conducted on a random sample of 7877 individuals and genotype-phenotype associations with education and disease traits were evaluated. Our results were replicated on a high-functioning group of 993 Estonians and 3 geographically distinct populations in the United Kingdom, the United States, and Italy. MAIN OUTCOMES AND MEASURES: Phenotypes of genomic disorders in the general population, prevalence of autosomal CNVs, and association of these variants with educational attainment (from less than primary school through scientific degree) and prevalence of intellectual disability.

resultsOf the 7877 in the Estonian cohort, we identified 56 carriers of CNVs associated with known syndromes. Their phenotypes, including cognitive and psychiatric problems, epilepsy, neuropathies, obesity, and congenital malformations are similar to those described for carriers of identical rearrangements ascertained in clinical cohorts. A genome-wide evaluation of rare autosomal CNVs (frequency, ≤0.05%; ≥250 kb) identified 831 carriers (10.5%) of the screened general population. Eleven of 216 (5.1%) carriers of a deletion of at least 250 kb (odds ratio [OR], 3.16; 95% CI, 1.51-5.98; P = 1.5e-03) and 6 of 102 (5.9%) carriers of a duplication of at least 1 Mb (OR, 3.67; 95% CI, 1.29-8.54; P = .008) had an intellectual disability compared with 114 of 6819 (1.7%) in the Estonian cohort. The mean education attainment was 3.81 (P = 1.06e-04) among 248 (≥250 kb) deletion carriers and 3.69 (P = 5.024e-05) among 115 duplication carriers (≥1 Mb). Of the deletion carriers, 33.5% did not graduate from high school (OR, 1.48; 95% CI, 1.12-1.95; P = .005) and 39.1% of duplication carriers did not graduate high school (OR, 1.89; 95% CI, 1.27-2.8; P = 1.6e-03). Evidence for an association between rare CNVs and lower educational attainment was supported by analyses of cohorts of adults from Italy and the United States and adolescents from the United Kingdom. CONCLUSIONS AND RELEVANCE: Known pathogenic CNVs in unselected, but assumed to be healthy, adult populations may be associated with unrecognized clinical sequelae. Additionally, individually rare but collectively common intermediate-size CNVs may be negatively associated with educational attainment. Replication of these findings in additional population groups is warranted given the potential implications of this observation for genomics research, clinical care, and public health.

Indexed as

DNA Copy Number VariationsHeterozygoteAdolescentAdultCognitionEducational StatusEpilepsyEstoniaFemaleGenome-Wide Association StudyHumansIntellectual DisabilityItalyMaleMental DisordersObesity

Identifiers

PMID26010633
PMCPMC4684269
OpenAlexW1907683620

What Socratic holds

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Read underepoch 390

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 Socratic graph.