Evidence map›Paper›PMID 35590255›Full record

ArticleBMC genomics2022

Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach.

Yen-Chen A Feng, Ian B Stanaway, John J Connolly, Joshua C Denny, Yuan Luo, Chunhua Weng, Wei-Qi Wei, Scott T Weiss, Elizabeth W Karlson, Jordan W Smoller

Abstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Cytokine gene polymorphisms and suicide risk in an Indian ancestral population: A case-control study.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2024
    Article
  4. Article
  5. 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

10 authors.

Yen-Chen A FengCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. yef314@mail.harvard.edu.
Ian B StanawayDivision of Nephrology, School of Medicine, Kidney Research Institute, University of Washington, Seattle, WA, USA.
John J ConnollyCenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Yuan LuoDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Scott T WeissDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth W KarlsonDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jordan W SmollerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. jsmoller@mgh.harvard.edu.

Funding

Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
NHGRI NIH HHS U01 HG008685
6 · The paper itself

Abstract

backgroundAs genomic sequencing moves closer to clinical implementation, there has been an increasing acceptance of returning incidental findings to research participants and patients for mutations in highly penetrant, medically actionable genes. A curated list of genes has been recommended by the American College of Medical Genetics and Genomics (ACMG) for return of incidental findings. However, the pleiotropic effects of these genes are not fully known. Such effects could complicate genetic counseling when returning incidental findings. In particular, there has been no systematic evaluation of psychiatric manifestations associated with rare variation in these genes.

resultsHere, we leveraged a targeted sequence panel and real-world electronic health records from the eMERGE network to assess the burden of rare variation in the ACMG-56 genes and two psychiatric-associated genes (CACNA1C  and TCF4) across common mental health conditions in 15,181 individuals of European descent. As a positive control, we showed that this approach replicated the established association between rare mutations in LDLR and hypercholesterolemia with no visible inflation from population stratification. However, we did not identify any genes significantly enriched with rare deleterious variants that confer risk for common psychiatric disorders after correction for multiple testing. Suggestive associations were observed between depression and rare coding variation in PTEN (P = 1.5 × 10

conclusionsOur results do not support an association between psychiatric disorders and incidental findings in medically actionable gene mutations, but power was limited with the available sample sizes. Given the phenotypic and genetic complexity of psychiatric phenotypes, future work will require a much larger sequencing dataset to determine whether incidental findings in these genes have implications for risk of psychopathology.

Indexed as

ExomeGenetic TestingGenetic VariationGenomicsHumansMutationPhenotypeGenomic sequencingIncidental findingsPsychiatric disordersRare variation

Identifiers

PMID35590255
PMCPMC9121574

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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.