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Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations

Overview of attention for article published in Nature Genetics, March 2023
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
37 news outlets
blogs
4 blogs
twitter
77 X users
facebook
1 Facebook page
reddit
2 Redditors

Citations

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16 Dimensions

Readers on

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63 Mendeley
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Title
Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations
Published in
Nature Genetics, March 2023
DOI 10.1038/s41588-023-01305-1
Pubmed ID
Authors

Dongjing Liu, Dara Meyer, Brian Fennessy, Claudia Feng, Esther Cheng, Jessica S. Johnson, You Jeong Park, Marysia-Kolbe Rieder, Steven Ascolillo, Agathe de Pins, Amanda Dobbyn, Dannielle Lebovitch, Emily Moya, Tan-Hoang Nguyen, Lillian Wilkins, Arsalan Hassan, Katherine E. Burdick, Joseph D. Buxbaum, Enrico Domenici, Sophia Frangou, Annette M. Hartmann, Claudine Laurent-Levinson, Dheeraj Malhotra, Carlos N. Pato, Michele T. Pato, Kerry Ressler, Panos Roussos, Dan Rujescu, Celso Arango, Alessandro Bertolino, Giuseppe Blasi, Luisella Bocchio-Chiavetto, Dominique Campion, Vaughan Carr, Janice M. Fullerton, Massimo Gennarelli, Javier González-Peñas, Douglas F. Levinson, Bryan Mowry, Vishwajit L. Nimgaokar, Giulio Pergola, Antonio Rampino, Jorge A. Cervilla, Margarita Rivera, Sibylle G. Schwab, Dieter B. Wildenauer, Mark Daly, Benjamin Neale, Tarjinder Singh, Michael C. O’Donovan, Michael J. Owen, James T. Walters, Muhammad Ayub, Anil K. Malhotra, Todd Lencz, Patrick F. Sullivan, Pamela Sklar, Eli A. Stahl, Laura M. Huckins, Alexander W. Charney

Abstract

Schizophrenia (SCZ) is a chronic mental illness and among the most debilitating conditions encountered in medical practice. A recent landmark SCZ study of the protein-coding regions of the genome identified a causal role for ten genes and a concentration of rare variant signals in evolutionarily constrained genes1. This recent study-and most other large-scale human genetics studies-was mainly composed of individuals of European (EUR) ancestry, and the generalizability of the findings in non-EUR populations remains unclear. To address this gap, we designed a custom sequencing panel of 161 genes selected based on the current knowledge of SCZ genetics and sequenced a new cohort of 11,580 SCZ cases and 10,555 controls of diverse ancestries. Replicating earlier work, we found that cases carried a significantly higher burden of rare protein-truncating variants (PTVs) among evolutionarily constrained genes (odds ratio = 1.48; P = 5.4 × 10-6). In meta-analyses with existing datasets totaling up to 35,828 cases and 107,877 controls, this excess burden was largely consistent across five ancestral populations. Two genes (SRRM2 and AKAP11) were newly implicated as SCZ risk genes, and one gene (PCLO) was identified as shared by individuals with SCZ and those with autism. Overall, our results lend robust support to the rare allelic spectrum of the genetic architecture of SCZ being conserved across diverse human populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Researcher 8 13%
Professor 6 10%
Unspecified 4 6%
Student > Bachelor 3 5%
Other 10 16%
Unknown 24 38%
Readers by discipline Count As %
Neuroscience 10 16%
Biochemistry, Genetics and Molecular Biology 9 14%
Agricultural and Biological Sciences 3 5%
Unspecified 3 5%
Engineering 3 5%
Other 7 11%
Unknown 28 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 320. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2023.
All research outputs
#107,638
of 25,791,949 outputs
Outputs from Nature Genetics
#159
of 7,624 outputs
Outputs of similar age
#2,817
of 428,405 outputs
Outputs of similar age from Nature Genetics
#2
of 73 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 428,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.