Evidence map›Paper›PMID 20421487›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Genome-wide association identifies candidate genes that influence the human electroencephalogram.

Colin A Hodgkinson, Mary-Anne Enoch, Vibhuti Srivastava, Justine S Cummins-Oman, Cherisse Ferrier, Polina Iarikova, Sriram Sankararaman, Goli Yamini, Qiaoping Yuan, Zhifeng Zhou and 4 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Candidate gene studies of a promising intermediate phenotype: failure to replicate.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2013
    Trial
  4. Article
  5. Observational
  6. A Missense Mutation in theFrontiers in pediatrics · 2020
    Article
  7. Article
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  9. Review
  10. Article
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  14. Review
  15. Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Article
  16. A genome wide association study of fast beta EEG in families of European ancestry.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017
    Article
  17. Endophenotype best practices.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017
    Review
  18. Article
  19. Article
  20. 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

14 authors at 4 institutions in 2 countries.

Colin A HodgkinsonLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Rockville, MD 20852, USA. chodg@mail.nih.gov
Mary-Anne Enoch
Vibhuti Srivastava
Justine S Cummins-Oman
Cherisse Ferrier
Polina Iarikova
Sriram Sankararaman
Goli Yamini
Qiaoping Yuan
Zhifeng Zhou
Bernard Albaugh
Kenneth V White
Pei-Hong Shen
David Goldman
National Institute on Alcohol Abuse and Alcoholism · USNational Institutes of Health · USUniversity of California, Berkeley · USWeatherford (United States) · US

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Genetic influences on alcohol use disorder in Native AmericansZIAAA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$6.7M
Intermediate Phenotypes for Alcoholism and Whole Genome Linkage ScanZIAAA000280 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2012
$218k
6 · The paper itself

Abstract

Complex psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogeneity. Variation in resting electroencephalogram (EEG) is associated with common, complex psychiatric diseases including alcoholism, schizophrenia, and anxiety disorders, although not diagnostic for any of them. EEG traits for an individual are stable, variable between individuals, and moderately to highly heritable. Such intermediate phenotypes appear to be closer to underlying molecular processes than are clinical symptoms, and represent an alternative approach for the identification of genetic variation that underlies complex psychiatric disorders. We performed a whole-genome association study on alpha (alpha), beta (beta), and theta (theta) EEG power in a Native American cohort of 322 individuals to take advantage of the genetic and environmental homogeneity of this population isolate. We identified three genes (SGIP1, ST6GALNAC3, and UGDH) with nominal association to variability of theta or alpha power. SGIP1 was estimated to account for 8.8% of variance in power, and this association was replicated in US Caucasians, where it accounted for 3.5% of the variance. Bayesian analysis of prior probability of association based upon earlier linkage to chromosome 1 and enrichment for vesicle-related transport proteins indicates that the association of SGIP1 with theta power is genuine. We also found association of SGIP1 with alcoholism, an effect that may be mediated via the same brain mechanisms accessed by theta EEG, and which also provides validation of the use of EEG as an endophenotype for alcoholism.

Indexed as

ElectroencephalographyGenome-Wide Association StudyAdaptor Proteins, Signal TransducingAlcoholismBiological TransportCarrier ProteinsChromosomes, Human, Pair 1Gene FrequencyGenesGenetic LociGenetic MarkersGolgi ApparatusHumansMembrane ProteinsPhenotypePolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingCarrier ProteinsGenetic MarkersMembrane ProteinsSGIP1 protein, human

Identifiers

PMID20421487
PMCPMC2889314
OpenAlexW2063729096

What OpenQuestion holds

Textmetadata
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.