Evidence map›Paper›PMID 29335774›Full record

ArticleHuman genetics2018

Genomic trade-offs: are autism and schizophrenia the steep price of the human brain?

J M Sikela, V B Searles Quick

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Proteolytic activation of human-specific Olduvai domains by the furin protease.International journal of biological macromolecules · 2023
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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

2 authors at 2 institutions in 1 country.

J M SikelaUniversity of Colorado School of Medicine, Aurora, CO, USA. James.Sikela@ucdenver.edu.
V B Searles QuickUniversity of Colorado School of Medicine, Aurora, CO, USA.
University of California, San Francisco · USUniversity of Colorado Denver · US

Funding

Investigation of DUF1220 domains in human brain function and diseaseR01MH108684 · NIMH · UNIVERSITY OF COLORADO DENVER · PI SIKELA, JAMES M · 2016 to 2020
$1.9M
National Institute of Mental Health NIH R01MH108684NIMH NIH HHS R01 MH108684Simons Foundation 309230
6 · The paper itself

Abstract

Evolution often deals in genomic trade-offs: changes in the genome that are beneficial overall persist even though they also produce disease in a subset of individuals. Here, we explore the possibility that such trade-offs have occurred as part of the evolution of the human brain. Specifically, we provide support for the possibility that the same key genes that have been major contributors to the rapid evolutionary expansion of the human brain and its exceptional cognitive capacity also, in different combinations, are significant contributors to autism and schizophrenia. Furthermore, the model proposes that one of the primary genes behind this trade-off may not technically be "a gene" or "genes" but rather are the highly duplicated sequences that encode the Olduvai protein domain family (formerly called DUF1220). This is not an entirely new idea. Others have proposed that the same genes involved in schizophrenia were also critical to the rapid expansion of the human brain, a view that has been expressed as "the same 'genes' that drive us mad have made us human". What is new is that a "gene", or more precisely a protein domain family, has been found that may satisfy these requirements.

Indexed as

Autistic DisorderBiological EvolutionBrainChromosome DeletionChromosomes, Human, Pair 1CognitionGene DosageGenome, HumanHumansModels, BiologicalSchizophrenia

Identifiers

PMID29335774
PMCPMC5898792
OpenAlexW2783123388

What OpenQuestion holds

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LicenceCC BY
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.