Evidence map›Paper›PMID 30696806›Full record

ArticleTranslational psychiatry2019

Using phenome-wide association to investigate the function of a schizophrenia risk locus at SLC39A8.

Thomas H McCoy, Amelia M Pellegrini, Roy H Perlis

Abstract read
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

3 authors.

Thomas H McCoyCenter for Quantitative Health, Division of Clinical Research and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA.
Amelia M PellegriniCenter for Quantitative Health, Division of Clinical Research and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA.
Roy H PerlisCenter for Quantitative Health, Division of Clinical Research and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA. rperlis@partners.org.ORCID http://orcid.org/0000-0002-5862-6757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While nearly all common genomic variants associated with schizophrenia have no known function, one corresponds to a missense variant associated with change in efficiency of a metal ion transporter, ZIP8, coded by SLC39A8. This variant has been linked to a range of phenotypes and is believed to be under recent selection pressure, but its impact on health is poorly understood. We sought to understand phenotypic implications of this variant in a large genomic biobank using an unbiased phenome-wide approach. Specifically, we generated 50 topics based on diagnostic codes using latent Dirichlet allocation, and examined them for association with the risk variant. Then, any significant topics were further characterized by examining association with individual diagnostic codes contributing to the topic. Among 50 topics, 1 was associated at an experiment-wide significance threshold (beta = 0.003, uncorrected p = 0.00049), comprising predominantly brain-related codes, including intracranial hemorrhage, cerebrovascular disease, and delirium/dementia. These results suggest that a functional variant previously associated with schizophrenia risk also increases liability to cerebrovascular disease. They further illustrate the utility of a topic-based approach to phenome-wide association.

Indexed as

Genetic LociGenetic Predisposition to DiseasePhenotypeBiological Specimen BanksCation Transport ProteinsFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideSchizophreniaWhite PeopleCation Transport ProteinsSLC39A8 protein, human

Identifiers

PMID30696806
PMCPMC6351652

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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.