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Sandroni V, Chaumette B. Understanding the Emergence of Schizophrenia in the Light of Human Evolution: New Perspectives in Genetics. GENES, BRAIN, AND BEHAVIOR 2025; 24:e70013. [PMID: 39801370 PMCID: PMC11725983 DOI: 10.1111/gbb.70013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 12/17/2024] [Accepted: 12/21/2024] [Indexed: 01/16/2025]
Abstract
Schizophrenia is a frequent and disabling disease. The persistence of the disorder despite its harmful consequences represents an evolutionary paradox. Based on recent discoveries in genetics, scientists have formulated the "price-to-pay" hypothesis: schizophrenia would be intimately related to human evolution, particularly to brain development and human-specific higher cognitive functions. The objective of the present work is to question scientific literature about the relationship between schizophrenia and human evolution from a genetic point of view. In the last two decades, research investigated the association between schizophrenia and a few genetic evolutionary markers: Human accelerated regions, segmental duplications, and highly repetitive DNA such as the Olduvai domain. Other studies focused on the action of natural selection on schizophrenia-associated genetic variants, also thanks to the complete sequencing of archaic hominins' genomes (Neanderthal, Denisova). Results suggested that a connection between human evolution and schizophrenia may exist; nonetheless, much research is still needed, and it is possible that a definitive answer to the evolutionary paradox of schizophrenia will never be found.
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Affiliation(s)
- Veronica Sandroni
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP)ParisFrance
- GHU‐Paris Psychiatrie et NeurosciencesHôpital Sainte AnneParisFrance
| | - Boris Chaumette
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP)ParisFrance
- GHU‐Paris Psychiatrie et NeurosciencesHôpital Sainte AnneParisFrance
- Human Genetics and Cognitive FunctionsInstitut Pasteur, Université Paris CitéParisFrance
- Department of PsychiatryMcGill UniversityMontrealCanada
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2
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Mathov Y, Nissim-Rafinia M, Leibson C, Galun N, Marques-Bonet T, Kandel A, Liebergal M, Meshorer E, Carmel L. Inferring DNA methylation in non-skeletal tissues of ancient specimens. Nat Ecol Evol 2025; 9:153-165. [PMID: 39567757 PMCID: PMC11726462 DOI: 10.1038/s41559-024-02571-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 10/01/2024] [Indexed: 11/22/2024]
Abstract
Genome-wide premortem DNA methylation patterns can be computationally reconstructed from high-coverage DNA sequences of ancient samples. Because DNA methylation is more conserved across species than across tissues, and ancient DNA is typically extracted from bones and teeth, previous works utilizing ancient DNA methylation maps focused on studying evolutionary changes in the skeletal system. Here we suggest that DNA methylation patterns in one tissue may, under certain conditions, be informative on DNA methylation patterns in other tissues of the same individual. Using the fact that tissue-specific DNA methylation builds up during embryonic development, we identified the conditions that allow for such cross-tissue inference and devised an algorithm that carries it out. We trained the algorithm on methylation data from extant species and reached high precisions of up to 0.92 for validation datasets. We then used the algorithm on archaic humans, and identified more than 1,850 positions for which we were able to observe differential DNA methylation in prefrontal cortex neurons. These positions are linked to hundreds of genes, many of which are involved in neural functions such as structural and developmental processes. Six positions are located in the neuroblastoma breaking point family (NBPF) gene family, which probably played a role in human brain evolution. The algorithm we present here allows for the examination of epigenetic changes in tissues and cell types that are absent from the palaeontological record, and therefore provides new ways to study the evolutionary impacts of epigenetic changes.
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Affiliation(s)
- Yoav Mathov
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
- Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Malka Nissim-Rafinia
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Chen Leibson
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nir Galun
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Arye Kandel
- Orthopedic Department, Hadassah - Hebrew University Medical Center, Jerusalem, Israel
| | - Meir Liebergal
- Orthopedic Department, Hadassah - Hebrew University Medical Center, Jerusalem, Israel
| | - Eran Meshorer
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
- Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Liran Carmel
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
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3
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Glunčić M, Vlahović I, Rosandić M, Paar V. Neuroblastoma Breakpoint Family 3mer Higher Order Repeats/Olduvai Triplet Pattern in the Complete Genome of Human and Nonhuman Primates and Relation to Cognitive Capacity. Genes (Basel) 2024; 15:1598. [PMID: 39766865 PMCID: PMC11675761 DOI: 10.3390/genes15121598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 12/03/2024] [Accepted: 12/12/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND/OBJECTIVES The ~1.6 kb NBPF repeat units in neuroblastoma breakpoint family (NBPF) genes are specific to humans and are associated with cognitive capacity in higher primates. While the number of NBPF monomers/Olduvai sequences in humans is approximately 2-3 times greater than in great apes, the difference in copy number values of canonical NBPF 3mer Higher-order repeats (HORs)/Olduvai triplets between humans and great apes is substantially larger. This study aims to analyze the organization and evolutionary significance of NBPF 3mer HORs/Olduvai triplets in fully sequenced primate genomes. METHODS We applied the global repeat map (GRM) algorithm to identify canonical and variant NBPF 3mer HORs/Olduvai triplets in the complete genomes of humans, chimpanzees, gorillas, and orangutans. The resulting monomer arrays were analyzed using the GRMhor algorithm to generate detailed schematic representations of NBPF HOR organization. RESULTS The analysis reveals a distinct difference in NBPF-related patterns among these primates, particularly in the number of tandemly organized canonical 3mer HORs/Olduvai triplets: 61 tandemly organized canonical NBPF 3mer HORs/Olduvai triplets in humans, compared to 0 in chimpanzees and orangutans, and 9 in gorillas. When considering only tandemly organized 3mer HORs/Olduvai triplets with more than three copies, the numbers adjust to 36 in humans and 0 in great apes. Furthermore, the divergence between individual NBPF monomers in humans and great apes is twice as high as that observed within great apes. CONCLUSIONS These findings support the hypothesis that the tandem organization of NBPF 3mer HORs/Olduvai triplets plays a crucial role in enhancing cognitive capacity in humans compared to great apes, potentially providing a significant evolutionary advantage. This effect complements the impact of the increased number of individual NBPF monomers/Olduvai sequences, together contributing to a synergistic amplification effect.
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Affiliation(s)
- Matko Glunčić
- Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia; (M.G.); (V.P.)
| | - Ines Vlahović
- Department of Interdisciplinary Sciences, Algebra University College, 10000 Zagreb, Croatia
| | - Marija Rosandić
- Department of Internal Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia;
- Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
| | - Vladimir Paar
- Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia; (M.G.); (V.P.)
- Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
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4
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Keeney JG, Astling D, Andries V, Vandepoele K, Anderson N, Davis JM, Lopert P, Vandenbussche J, Gevaert K, Staes A, Paukovich N, Vögeli B, Jones KL, van Roy F, Patel M, Sikela JM. Olduvai domain expression downregulates mitochondrial pathways: implications for human brain evolution and neoteny. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.21.619278. [PMID: 39484454 PMCID: PMC11526873 DOI: 10.1101/2024.10.21.619278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Encoded by the NBPF gene family, Olduvai (formerly DUF1220) protein domains have undergone the largest human lineage-specific copy number expansion of any coding region in the genome. Olduvai copy number shows a linear relationship with several brain size-related measures and cortical neuron number among primates and with normal and disease-associated (micro- and macrocephaly) variation in brain size in human populations. While Olduvai domains have been shown to promote proliferation of neural stem cells, the mechanism underlying such effects has remained unclear. Here, we investigate the function of Olduvai by transcriptome and proteome analyses of cells overexpressing NBPF1, a gene encoding 7 Olduvai domains. Our results from both RNAseq and mass spectrometry approaches suggest a potential downregulation of mitochondria. In our proteomics study, a Gene Ontology (GO) enrichment analysis for the downregulated proteins revealed a striking overrepresentation of the biological process related to the mitochondrial electron transport chain (p value: 1.81e-11) and identified deregulation of the NADH dehydrogenase activity (p value: 2.43e-11) as the primary molecular function. We verify the reduction of apparent mitochondria via live-cell imaging experiments. Given these and previous Olduvai findings, we suggest that the Olduvai-mediated, dosage-dependent reduction in available energy via mitochondrial downregulation may have resulted in a developmental slowdown such that the neurogenic window among primates, and most extremely in humans, was expanded over a greater time interval, allowing for production of greater numbers of neurons and a larger brain. We further suggest that such a slowdown may extend to other developmental processes that also exhibit neotenic features.
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Affiliation(s)
- Jonathon G. Keeney
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - David Astling
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Vanessa Andries
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Karl Vandepoele
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Nathan Anderson
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jonathan M. Davis
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Pamela Lopert
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jonathan Vandenbussche
- Department of Biomolecular Medicine, Ghent University, 9052 Ghent, Belgium
- VIB Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium
| | - Kris Gevaert
- Department of Biomolecular Medicine, Ghent University, 9052 Ghent, Belgium
- VIB Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium
| | - An Staes
- Department of Biomolecular Medicine, Ghent University, 9052 Ghent, Belgium
- VIB Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium
- VIB Proteomics Core, 9052 Ghent, Belgium
| | - Natasia Paukovich
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Beat Vögeli
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kenneth l. Jones
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Frans van Roy
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Manisha Patel
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - James M. Sikela
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Human Medical Genetics and Neuroscience Programs, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
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5
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Chamorro Y, Mendizabal-Ruiz AP, Abreu-Mendoza RA, Morales JA, de Lourdes Ramírez-Dueñas M, Matute E. Preliminary Evidence for a Positive Relation Between the COMT rs4680 Met/Met Genotype and Math Achievement. Dev Neuropsychol 2024; 49:138-151. [PMID: 38461456 DOI: 10.1080/87565641.2024.2326879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 03/01/2024] [Indexed: 03/12/2024]
Abstract
To identify if COMT polymorphisms interact with executive functions as predictors of math skills, we assessed 38 adolescents (mean age = 16.4 ± 0.80 years, IQ > 80) from a larger study of high-school students screened for their mathematical abilities. Adolescents were genotyped for the COMT Val158Met polymorphism (grouped as Met/Met or Val-carriers) and completed the WRAT math achievement test, working-memory, inhibitory-control, and shifting tasks. Met/Met-carriers achieved higher WRAT scores than the Val-carriers (W = 229, p = .009). Genotype group was a moderate-to-strong predictor of WRAT scores (β = 0.56 to 0.74). No genotype/executive-function interaction was detected. Our findings suggest that the rs4680 Met/Met genotype is positively associated with math achievement.
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Affiliation(s)
- Yaira Chamorro
- Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara, Jalisco, México
| | - Adriana P Mendizabal-Ruiz
- Departamento de Farmacobiología, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Jalisco, México
| | | | - J Alejandro Morales
- Departamento de Ciencias Computacionales, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Jalisco, México
| | - María de Lourdes Ramírez-Dueñas
- Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara, Jalisco, México
| | - Esmeralda Matute
- Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara, Jalisco, México
- Departamento de Estudios en Educación, Centro Universitario de Ciencias Sociales y Humanidades, Universidad de Guadalajara, Guadalajara, Jalisco, México
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6
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Pacheco A, Issaian A, Davis J, Anderson N, Nemkov T, Paukovich N, Henen MA, Vögeli B, Sikela JM, Hansen K. Proteolytic activation of human-specific Olduvai domains by the furin protease. Int J Biol Macromol 2023; 234:123041. [PMID: 36581038 PMCID: PMC10038901 DOI: 10.1016/j.ijbiomac.2022.12.260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022]
Abstract
Olduvai protein domains (formerly DUF1220) show the greatest human-specific increase in copy number of any coding region in the genome and are highly correlated with human brain evolution and cognitive disease. The majority of human copies are found within four NBPF genes organized in a variable number of a tandemly arranged three-domain blocks called Olduvai triplets. Here we show that these human-specific Olduvai domains are posttranslationally processed by the furin protease, with a cleavage site occurring once at each triplet. These findings suggest that all expanded human-specific NBPF genes encode proproteins consisting of many independent Olduvai triplet proteins which are activated by furin processing. The exceptional correlation of Olduvai copy number and brain size taken together with our new furin data, indicates the ultimate target of selection was a rapid increase in dosage of autonomously functioning Olduvai triplet proteins, and that these proteins are the primary active agent underlying Olduvai's role in human brain expansion.
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Affiliation(s)
- Ashley Pacheco
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Aaron Issaian
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Jonathan Davis
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Nathan Anderson
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Travis Nemkov
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Natasia Paukovich
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Morkos A Henen
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - Beat Vögeli
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA
| | - James M Sikela
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA.
| | - Kirk Hansen
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, USA.
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7
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The Polygenic Nature and Complex Genetic Architecture of Specific Learning Disorder. Brain Sci 2021; 11:brainsci11050631. [PMID: 34068951 PMCID: PMC8156942 DOI: 10.3390/brainsci11050631] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 12/16/2022] Open
Abstract
Specific Learning Disorder (SLD) is a multifactorial, neurodevelopmental disorder which may involve persistent difficulties in reading (dyslexia), written expression and/or mathematics. Dyslexia is characterized by difficulties with speed and accuracy of word reading, deficient decoding abilities, and poor spelling. Several studies from different, but complementary, scientific disciplines have investigated possible causal/risk factors for SLD. Biological, neurological, hereditary, cognitive, linguistic-phonological, developmental and environmental factors have been incriminated. Despite worldwide agreement that SLD is highly heritable, its exact biological basis remains elusive. We herein present: (a) an update of studies that have shaped our current knowledge on the disorder’s genetic architecture; (b) a discussion on whether this genetic architecture is ‘unique’ to SLD or, alternatively, whether there is an underlying common genetic background with other neurodevelopmental disorders; and, (c) a brief discussion on whether we are at a position of generating meaningful correlations between genetic findings and anatomical data from neuroimaging studies or specific molecular/cellular pathways. We conclude with open research questions that could drive future research directions.
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8
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Bekpen C, Tautz D. Human core duplicon gene families: game changers or game players? Brief Funct Genomics 2020; 18:402-411. [PMID: 31529038 PMCID: PMC6920530 DOI: 10.1093/bfgp/elz016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/01/2019] [Accepted: 06/24/2019] [Indexed: 01/09/2023] Open
Abstract
Illuminating the role of specific gene duplications within the human lineage can provide insights into human-specific adaptations. The so-called human core duplicon gene families have received particular attention in this respect, due to special features, such as expansion along single chromosomes, newly acquired protein domains and signatures of positive selection. Here, we summarize the data available for 10 such families and include some new analyses. A picture emerges that suggests broad functions for these protein families, possibly through modification of core cellular pathways. Still, more dedicated studies are required to elucidate the function of core-duplicons gene families and how they have shaped adaptations and evolution of humans.
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Affiliation(s)
| | - Diethard Tautz
- Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany
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9
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The N-terminal of NBPF15 causes multiple types of aggregates and mediates phase transition. Biochem J 2020; 477:445-458. [DOI: 10.1042/bcj20190566] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 12/02/2019] [Accepted: 12/05/2019] [Indexed: 12/26/2022]
Abstract
The neuroblastoma breakpoint family (NBPF) consists of 24 members that play an important role in neuroblastoma and other cancers. NBPF is an evolutionarily recent gene family that encodes several repeats of Olduvai domain and an abundant N-terminal region. The function and biochemical properties of both Olduvai domain and the N-terminal region remain enigmatic. Human NBPF15 encodes a 670 AA protein consisting of six clades of Olduvai domains. In this study, we synthesized and expressed full-length NBPF15, and purified a range of NBPF15 truncations which were analyzed using dynamic light scattering (DLS), superdex200 (S200), small-angle X-ray scattering (SAXS), far-UV circular dichroism (CD) spectroscopy, transmission electron microscope (TEM), and crystallography. We found that proteins containing both the N-terminal region and Olduvai domain are heterogeneous with multiple types of aggregates, and some of them underwent a liquid-to-solid phase transition, probably because of the entanglement within the N-terminal coiled-coil. Proteins that contain only the Olduvai domain are homogeneous extended monomers, and those with the conserved clade 1 (CON1) have manifested a tendency to crystallize. We suggest that the entanglements between the mosaic disorder-ordered segments in NBPF15 N terminus have triggered the multiple types of aggregates and phase transition of NBPF15 proteins, which could be associated with Olduvai-related cognitive dysfunction diseases.
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10
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Heft IE, Mostovoy Y, Levy-Sakin M, Ma W, Stevens AJ, Pastor S, McCaffrey J, Boffelli D, Martin DI, Xiao M, Kennedy MA, Kwok PY, Sikela JM. The Driver of Extreme Human-Specific Olduvai Repeat Expansion Remains Highly Active in the Human Genome. Genetics 2020; 214:179-191. [PMID: 31754017 PMCID: PMC6944415 DOI: 10.1534/genetics.119.302782] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 11/05/2019] [Indexed: 11/18/2022] Open
Abstract
Sequences encoding Olduvai protein domains (formerly DUF1220) show the greatest human lineage-specific increase in copy number of any coding region in the genome and have been associated, in a dosage-dependent manner, with brain size, cognitive aptitude, autism, and schizophrenia. Tandem intragenic duplications of a three-domain block, termed the Olduvai triplet, in four NBPF genes in the chromosomal 1q21.1-0.2 region, are primarily responsible for the striking human-specific copy number increase. Interestingly, most of the Olduvai triplets are adjacent to, and transcriptionally coregulated with, three human-specific NOTCH2NL genes that have been shown to promote cortical neurogenesis. Until now, the underlying genomic events that drove the Olduvai hyperamplification in humans have remained unexplained. Here, we show that the presence or absence of an alternative first exon of the Olduvai triplet perfectly discriminates between amplified (58/58) and unamplified (0/12) triplets. We provide sequence and breakpoint analyses that suggest the alternative exon was produced by an nonallelic homologous recombination-based mechanism involving the duplicative transposition of an existing Olduvai exon found in the CON3 domain, which typically occurs at the C-terminal end of NBPF genes. We also provide suggestive in vitro evidence that the alternative exon may promote instability through a putative G-quadraplex (pG4)-based mechanism. Lastly, we use single-molecule optical mapping to characterize the intragenic structural variation observed in NBPF genes in 154 unrelated individuals and 52 related individuals from 16 families and show that the presence of pG4-containing Olduvai triplets is strongly correlated with high levels of Olduvai copy number variation. These results suggest that the same driver of genomic instability that allowed the evolutionarily recent, rapid, and extreme human-specific Olduvai expansion remains highly active in the human genome.
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Affiliation(s)
- Ilea E Heft
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado 80045
- Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, Colorado 80045
| | - Yulia Mostovoy
- Cardiovascular Research Institute, University of California, San Francisco, California
| | - Michal Levy-Sakin
- Cardiovascular Research Institute, University of California, San Francisco, California
| | - Walfred Ma
- Cardiovascular Research Institute, University of California, San Francisco, California
| | - Aaron J Stevens
- Department of Pathology, University of Otago, Christchurch, New Zealand 8140
| | - Steven Pastor
- School of Biomedical Engineering, Drexel University, Philadelphia, Pennsylvania 19104
| | - Jennifer McCaffrey
- School of Biomedical Engineering, Drexel University, Philadelphia, Pennsylvania 19104
| | - Dario Boffelli
- Children's Hospital Oakland Research Institute, Oakland, California 94609
| | - David I Martin
- Children's Hospital Oakland Research Institute, Oakland, California 94609
| | - Ming Xiao
- School of Biomedical Engineering, Drexel University, Philadelphia, Pennsylvania 19104
| | - Martin A Kennedy
- Department of Pathology, University of Otago, Christchurch, New Zealand 8140
| | - Pui-Yan Kwok
- Cardiovascular Research Institute, University of California, San Francisco, California
- Department of Dermatology, University of California, San Francisco, California
- Institute for Human Genetics, University of California, San Francisco, California
| | - James M Sikela
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado 80045
- Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, Colorado 80045
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11
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Issaian A, Schmitt L, Born A, Nichols PJ, Sikela J, Hansen K, Vögeli B, Henen MA. Solution NMR backbone assignment reveals interaction-free tumbling of human lineage-specific Olduvai protein domains. BIOMOLECULAR NMR ASSIGNMENTS 2019; 13:339-343. [PMID: 31264103 PMCID: PMC6715528 DOI: 10.1007/s12104-019-09902-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/26/2019] [Indexed: 06/09/2023]
Abstract
Olduvai protein domains, encoded primarily by NBPF genes, have been linked to both human brain evolution and cognitive diseases such as autism and schizophrenia. There are six primary domains that comprise the Olduvai family: three conserved domains (CON1-3) and three human lineage-specific domains (HLS1-3), which typically occur as a triplet (HLS1, HLS2 and HLS3). Herein, we present the solution NMR assignment of the backbone chemical shifts of the separate HLS1, 2 and 3 domains of NBPF15. Our data suggest that there is no change in the structure of the separate domains when compared to the full-length triplet (HLS1-HLS2-HLS3). We also demonstrate that there is no direct interaction between the three domains.
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Affiliation(s)
- Aaron Issaian
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - Lauren Schmitt
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - Alexandra Born
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - Parker J Nichols
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - James Sikela
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - Kirk Hansen
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
| | - Beat Vögeli
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA.
| | - Morkos A Henen
- Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17th Avenue, Aurora, CO, 80045, USA
- Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt
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12
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Davis JM, Heft I, Scherer SW, Sikela JM. A Third Linear Association Between Olduvai (DUF1220) Copy Number and Severity of the Classic Symptoms of Inherited Autism. Am J Psychiatry 2019; 176:643-650. [PMID: 30764650 PMCID: PMC6675654 DOI: 10.1176/appi.ajp.2018.18080993] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE The authors previously reported that the copy number of sequences encoding an Olduvai protein domain subtype (CON1) shows a linear association with the severity of social deficits and communication impairment in individuals with autism. In this study, using an improved measurement method, the authors replicated this association in an independent population. METHOD The authors obtained whole genome sequence (WGS) data and phenotype data on 215 individuals from the Autism Speaks MSSNG project. They derived copy number from WGS data using a modified sequence read-depth technique. A linear mixed-effects model was used to test the association between Olduvai CON1 copy number and symptom severity as measured by the Autism Diagnostic Interview-Revised. The authors then combined data from previous studies (N=524) for final analyses. RESULTS A significant linear association was observed between CON1 copy number and social diagnostic score (SDS) (β=0.24) and communicative diagnostic score (CDS) (β=0.23). Using the combined data, the authors present strong significant associations of CON1 dosage with SDS (β=0.18) and CDS (β=0.13). The authors also implicate Olduvai subtypes found in two genes, NBPF1 and NBPF14 (R2=6.2%). Associations were preferentially found in multiplex versus simplex families. CONCLUSIONS The finding of a third dose-dependent association between Olduvai sequences and autism severity, preferentially in multiplex families, provides strong evidence that this highly duplicated and underexamined protein domain family plays an important role in inherited autism.
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Affiliation(s)
- Jonathan M. Davis
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics Program and Neuroscience Program, University of Colorado School of Medicine
| | - Ilea Heft
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics Program and Neuroscience Program, University of Colorado School of Medicine
| | - Stephen W. Scherer
- McLaughlin Centre and Department of Molecular Genetics, University of Toronto,The Centre for Applied Genomics and Program in Genetics and Genome Biology, Hospital for Sick Children
| | - James M. Sikela
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics Program and Neuroscience Program, University of Colorado School of Medicine
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13
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Fiddes IT, Pollen AA, Davis JM, Sikela JM. Paired involvement of human-specific Olduvai domains and NOTCH2NL genes in human brain evolution. Hum Genet 2019; 138:715-721. [PMID: 31087184 PMCID: PMC6611739 DOI: 10.1007/s00439-019-02018-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 04/16/2019] [Indexed: 02/07/2023]
Abstract
Sequences encoding Olduvai (DUF1220) protein domains show the largest human-specific increase in copy number of any coding region in the genome and have been linked to human brain evolution. Most human-specific copies of Olduvai (119/165) are encoded by three NBPF genes that are adjacent to three human-specific NOTCH2NL genes that have been shown to promote cortical neurogenesis. Here, employing genomic, phylogenetic, and transcriptomic evidence, we show that these NOTCH2NL/NBPF gene pairs evolved jointly, as two-gene units, very recently in human evolution, and are likely co-regulated. Remarkably, while three NOTCH2NL paralogs were added, adjacent Olduvai sequences hyper-amplified, adding 119 human-specific copies. The data suggest that human-specific Olduvai domains and adjacent NOTCH2NL genes may function in a coordinated, complementary fashion to promote neurogenesis and human brain expansion in a dosage-related manner.
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Affiliation(s)
| | - Alex A Pollen
- Department of Neurology and the Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research at the University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan M Davis
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics Program and Neuroscience Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - James M Sikela
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics Program and Neuroscience Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
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14
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Xie Y, Yang YT, Shi W, Ai X, Xi XG. Construction, expression, and characterization of AG1 1-843 and AG1 1-1581. Protein Expr Purif 2018; 152:71-76. [PMID: 29870801 DOI: 10.1016/j.pep.2018.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 05/28/2018] [Accepted: 06/01/2018] [Indexed: 10/14/2022]
Abstract
AG1, a member of the DUF1220 protein family, exhibits the most extreme human lineage-specific copy number expansion of any protein-coding sequence in the genome. These variations in copy number have been linked to both brain evolution among primates and brain size in humans. Unfortunately, our current understanding of the structure and function of these proteins is limited because current cloning and expression techniques fail to consistently produce recombinant protein for in vitro studies. The present work describes a method for amino acid and DNA sequence optimization and synthesis, recombinant protein expression and analysis of two AG1 fragments, AG11-843 and AG11-1581. It was first necessary to modify the nucleotide sequence, while holding the GC content at 52.9%. The genes were then sectionally synthesized by overlap PCR. The resulting segments were cloned into the pET-15 b-sumo expression vector and subsequently transformed into BL21 (DE3) cells. After inducing their expression, the AG11-843 and AG11-1581 proteins were isolated and purified. Furthermore, using dynamic light scattering and gel filtration analysis, AG11-843 and AG11-1581 were shown to be present in tetrameric and dimeric forms in solution. To our knowledge, this is the first study to synthesize and express fragments of the DUF1220 protein family for in vitro analysis. Taken together, the proven utility and versatility of this method indicate that it can be used as an effective technique to construct and express other proteins with complicated sequences, thus providing the means to study their function and structure in vitro.
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Affiliation(s)
- Yan Xie
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yan-Tao Yang
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Wei Shi
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xia Ai
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xu-Guang Xi
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China; Laboratoire de Biologie et Pharmacologie Appliquée, Ecole Normals Supérieure de Cachan, CNRS, 61 Avenue du Président Wilson, 94235, Cachan, France.
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15
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Abstract
Abstract
Evolution acts through a combination of four different drivers: (1) mutation, (2) selection, (3) genetic drift, and (4) developmental constraints. There is a tendency among some biologists to frame evolution as the sole result of natural selection, and this tendency is reinforced by many popular texts. “The Naked Ape” by Desmond Morris, published 50 years ago, is no exception. In this paper I argue that evolutionary biology is much richer than natural selection alone. I illustrate this by reconstructing the evolutionary history of five different organs of the human body: foot, pelvis, scrotum, hand and brain. Factors like developmental tinkering, by-product evolution, exaptation and heterochrony are powerful forces for body-plan innovations and the appearance of such innovations in human ancestors does not always require an adaptive explanation. While Morris explained the lack of body hair in the human species by sexual selection, I argue that molecular tinkering of regulatory genes expressed in the brain, followed by positive selection for neotenic features, may have been the driving factor, with loss of body hair as a secondary consequence.
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Affiliation(s)
- Nico M. van Straalen
- Department of Ecological Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
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16
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Sikela JM, Searles Quick VB. Genomic trade-offs: are autism and schizophrenia the steep price of the human brain? Hum Genet 2018; 137:1-13. [PMID: 29335774 PMCID: PMC5898792 DOI: 10.1007/s00439-017-1865-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 12/29/2017] [Indexed: 01/29/2023]
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.
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Affiliation(s)
- J M Sikela
- University of Colorado School of Medicine, Aurora, CO, USA.
| | - V B Searles Quick
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Psychiatry, University of California, San Francisco, California, USA
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17
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Abstract
We are jointly proposing a new name for a protein domain of approximately 65 amino acids that has been previously termed NBPF or DUF1220. Our two labs independently reported the initial studies of this domain, which is encoded almost entirely within a single gene family. The name Neuroblastoma Breakpoint Family (
NBPF) was applied to this gene family when the first identified member of the family was found to be interrupted in an individual with neuroblastoma. Prior to this discovery, the Pfam database had termed the domain DUF1220, denoting it as one of many protein
domains of
unknown
function. It has been Pfam’s intention to use “DUF” nomenclature to serve only as a temporary placeholder until more appropriate names are proposed based on research findings. We believe that additional studies of this domain, primarily from our laboratories over the past 10 years, have resulted in furthering our understanding of these sequences to the point where proposing a new name for this domain is warranted. Because of considerable data linking the domain to human-specific evolution, brain expansion and cognition, we believe a name reflecting these findings would be appropriate. With this in mind, we have chosen to name the domain (and the repeat that encodes it) Olduvai. The gene family will remain as
NBPF for now. The primary domain subtypes will retain their previously assigned names (e.g. CON1-3; HLS1-3), and the three-domain block that expanded dramatically in the human lineage will be termed the Olduvai triplet. The new name refers to Olduvai Gorge, which is a site in East Africa that has been the source of major anthropological discoveries in the early-mid 1900’s. We also chose the name as a tribute to the scientists who made important contributions to the early studies of human origins and our African genesis.
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Affiliation(s)
- James M Sikela
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Neuroscience Programs, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Frans van Roy
- Department of Biomedical Molecular Biology, Ghent University, Ghent, 9052, Belgium.,VIB-UGent Center for Inflammation Research, Ghent, 9052, Belgium
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18
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Enhancing our brains: Genomic mechanisms underlying cortical evolution. Semin Cell Dev Biol 2017; 76:23-32. [PMID: 28864345 DOI: 10.1016/j.semcdb.2017.08.045] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 08/24/2017] [Indexed: 12/31/2022]
Abstract
Our most distinguishing higher cognitive functions are controlled by the cerebral cortex. Comparative studies detail abundant anatomical and cellular features unique to the human developing and adult neocortex. Emerging genomic studies have further defined vast differences distinguishing developing human neocortices from related primates. These human-specific changes can affect gene function and/or expression, and result from structural variations such as chromosomal deletions and duplications, or from point mutations in coding and noncoding regulatory regions. Here, we review this rapidly growing field which aims to identify and characterize genetic loci unique to the human cerebral cortex. We catalog known human-specific genomic changes distinct from other primates, including those whose function has been interrogated in animal models. We also discuss how new model systems and technologies such as single cell RNA sequencing, primate iPSCs, and gene editing, are enabling the field to gain unprecedented resolution into function of these human-specific changes. Some neurological disorders are thought to uniquely present in humans, thus reinforcing the need to comprehensively understand human-specific gene expression in the developing brain.
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19
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Astling DP, Heft IE, Jones KL, Sikela JM. High resolution measurement of DUF1220 domain copy number from whole genome sequence data. BMC Genomics 2017; 18:614. [PMID: 28807002 PMCID: PMC5556342 DOI: 10.1186/s12864-017-3976-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/31/2017] [Indexed: 11/10/2022] Open
Abstract
Background DUF1220 protein domains found primarily in Neuroblastoma BreakPoint Family (NBPF) genes show the greatest human lineage-specific increase in copy number of any coding region in the genome. There are 302 haploid copies of DUF1220 in hg38 (~160 of which are human-specific) and the majority of these can be divided into 6 different subtypes (referred to as clades). Copy number changes of specific DUF1220 clades have been associated in a dose-dependent manner with brain size variation (both evolutionarily and within the human population), cognitive aptitude, autism severity, and schizophrenia severity. However, no published methods can directly measure copies of DUF1220 with high accuracy and no method can distinguish between domains within a clade. Results Here we describe a novel method for measuring copies of DUF1220 domains and the NBPF genes in which they are found from whole genome sequence data. We have characterized the effect that various sequencing and alignment parameters and strategies have on the accuracy and precision of the method and defined the parameters that lead to optimal DUF1220 copy number measurement and resolution. We show that copy number estimates obtained using our read depth approach are highly correlated with those generated by ddPCR for three representative DUF1220 clades. By simulation, we demonstrate that our method provides sufficient resolution to analyze DUF1220 copy number variation at three levels: (1) DUF1220 clade copy number within individual genes and groups of genes (gene-specific clade groups) (2) genome wide DUF1220 clade copies and (3) gene copy number for DUF1220-encoding genes. Conclusions To our knowledge, this is the first method to accurately measure copies of all six DUF1220 clades and the first method to provide gene specific resolution of these clades. This allows one to discriminate among the ~300 haploid human DUF1220 copies to an extent not possible with any other method. The result is a greatly enhanced capability to analyze the role that these sequences play in human variation and disease. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3976-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- David P Astling
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ilea E Heft
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kenneth L Jones
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - James M Sikela
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA.
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20
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Howard DM, Adams MJ, Clarke TK, Wigmore EM, Zeng Y, Hagenaars SP, Lyall DM, Thomson PA, Evans KL, Porteous DJ, Nagy R, Hayward C, Haley CS, Smith BH, Murray AD, Batty GD, Deary IJ, McIntosh AM. Haplotype-based association analysis of general cognitive ability in Generation Scotland, the English Longitudinal Study of Ageing, and UK Biobank. Wellcome Open Res 2017; 2:61. [PMID: 28989979 PMCID: PMC5605947 DOI: 10.12688/wellcomeopenres.12171.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2017] [Indexed: 01/07/2023] Open
Abstract
Background: Cognitive ability is a heritable trait with a polygenic architecture, for which several associated variants have been identified using genotype-based and candidate gene approaches. Haplotype-based analyses are a complementary technique that take phased genotype data into account, and potentially provide greater statistical power to detect lower frequency variants. Methods: In the present analysis, three cohort studies (n
total = 48,002) were utilised: Generation Scotland: Scottish Family Health Study (GS:SFHS), the English Longitudinal Study of Ageing (ELSA), and the UK Biobank. A genome-wide haplotype-based meta-analysis of cognitive ability was performed, as well as a targeted meta-analysis of several gene coding regions. Results: None of the assessed haplotypes provided evidence of a statistically significant association with cognitive ability in either the individual cohorts or the meta-analysis. Within the meta-analysis, the haplotype with the lowest observed
P-value overlapped with the D-amino acid oxidase activator (
DAOA) gene coding region. This coding region has previously been associated with bipolar disorder, schizophrenia and Alzheimer’s disease, which have all been shown to impact upon cognitive ability. Another potentially interesting region highlighted within the current genome-wide association analysis (GS:SFHS:
P = 4.09 x 10
-7), was the butyrylcholinesterase (
BCHE) gene coding region. The protein encoded by
BCHE has been shown to influence the progression of Alzheimer’s disease and its role in cognitive ability merits further investigation. Conclusions: Although no evidence was found for any haplotypes with a statistically significant association with cognitive ability, our results did provide further evidence that the genetic variants contributing to the variance of cognitive ability are likely to be of small effect.
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Affiliation(s)
- David M Howard
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Eleanor M Wigmore
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Yanni Zeng
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Saskia P Hagenaars
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Pippa A Thomson
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Reka Nagy
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Chris S Haley
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Blair H Smith
- Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Division of Population Health Sciences, University of Dundee, Dundee, UK
| | - Alison D Murray
- Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
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21
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A Genome-Wide Association Study Identifies Genetic Variants Associated with Mathematics Ability. Sci Rep 2017; 7:40365. [PMID: 28155865 PMCID: PMC5290743 DOI: 10.1038/srep40365] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 12/06/2016] [Indexed: 12/28/2022] Open
Abstract
Mathematics ability is a complex cognitive trait with polygenic heritability. Genome-wide association study (GWAS) has been an effective approach to investigate genetic components underlying mathematic ability. Although previous studies reported several candidate genetic variants, none of them exceeded genome-wide significant threshold in general populations. Herein, we performed GWAS in Chinese elementary school students to identify potential genetic variants associated with mathematics ability. The discovery stage included 494 and 504 individuals from two independent cohorts respectively. The replication stage included another cohort of 599 individuals. In total, 28 of 81 candidate SNPs that met validation criteria were further replicated. Combined meta-analysis of three cohorts identified four SNPs (rs1012694, rs11743006, rs17778739 and rs17777541) of SPOCK1 gene showing association with mathematics ability (minimum p value 5.67 × 10−10, maximum β −2.43). The SPOCK1 gene is located on chromosome 5q31.2 and encodes a highly conserved glycoprotein testican-1 which was associated with tumor progression and prognosis as well as neurogenesis. This is the first study to report genome-wide significant association of individual SNPs with mathematics ability in general populations. Our preliminary results further supported the role of SPOCK1 during neurodevelopment. The genetic complexities underlying mathematics ability might contribute to explain the basis of human cognition and intelligence at genetic level.
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22
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Abstract
A suite of recent studies has reported positive genetic correlations between autism risk and measures of mental ability. These findings indicate that alleles for autism overlap broadly with alleles for high intelligence, which appears paradoxical given that autism is characterized, overall, by below-average IQ. This paradox can be resolved under the hypothesis that autism etiology commonly involves enhanced, but imbalanced, components of intelligence. This hypothesis is supported by convergent evidence showing that autism and high IQ share a diverse set of convergent correlates, including large brain size, fast brain growth, increased sensory and visual-spatial abilities, enhanced synaptic functions, increased attentional focus, high socioeconomic status, more deliberative decision-making, profession and occupational interests in engineering and physical sciences, and high levels of positive assortative mating. These findings help to provide an evolutionary basis to understanding autism risk as underlain in part by dysregulation of intelligence, a core human-specific adaptation. In turn, integration of studies on intelligence with studies of autism should provide novel insights into the neurological and genetic causes of high mental abilities, with important implications for cognitive enhancement, artificial intelligence, the relationship of autism with schizophrenia, and the treatment of both autism and intellectual disability.
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Affiliation(s)
- Bernard J Crespi
- Department of Biological Sciences and Human Evolutionary Studies Program, Simon Fraser University Burnaby, BC, Canada
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23
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Searles Quick VB, Davis JM, Olincy A, Sikela JM. DUF1220 copy number is associated with schizophrenia risk and severity: implications for understanding autism and schizophrenia as related diseases. Transl Psychiatry 2015; 5:e697. [PMID: 26670282 PMCID: PMC5068589 DOI: 10.1038/tp.2015.192] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 09/29/2015] [Accepted: 10/21/2015] [Indexed: 11/30/2022] Open
Abstract
The copy number of DUF1220, a protein domain implicated in human brain evolution, has been linearly associated with autism severity. Given the possibility that autism and schizophrenia are related disorders, the present study examined DUF1220 copy number variation in schizophrenia severity. There are notable similarities between autism symptoms and schizophrenia negative symptoms, and divergence between autism symptoms and schizophrenia positive symptoms. We therefore also examined DUF1220 copy number in schizophrenia subgroups defined by negative and positive symptom features, versus autistic individuals and controls. In the schizophrenic population (N=609), decreased DUF1220 copy number was linearly associated with increasing positive symptom severity (CON1 P=0.013, HLS1 P=0.0227), an association greatest in adult-onset schizophrenia (CON1 P=0.00155, HLS1 P=0.00361). In schizophrenic males, DUF1220 CON1 subtype copy number increase was associated with increased negative symptom severity (P=0.0327), a finding similar to that seen in autistic populations. Subgroup analyses demonstrated that schizophrenic individuals with predominantly positive symptoms exhibited reduced CON1 copy number compared with both controls (P=0.0237) and schizophrenic individuals with predominantly negative symptoms (P=0.0068). These findings support the view that (1) autism and schizophrenia exhibit both opposing and partially overlapping phenotypes and may represent a disease continuum, (2) variation in DUF1220 copy number contributes to schizophrenia disease risk and to the severity of both disorders, and (3) schizophrenia and autism may be, in part, a harmful by-product of the rapid and extreme evolutionary increase in DUF1220 copy number in the human species.
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Affiliation(s)
- V B Searles Quick
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics and Medical Scientist Training Programs, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - J M Davis
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - A Olincy
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - J M Sikela
- Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics and Medical Scientist Training Programs, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics and Medical Scientist Training Programs, University of Colorado Anschutz Medical Campus, 12801 E. 17th Avenue, Aurora, CO 80045, USA. E-mail:
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24
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Sex differences across different racial ability levels: Theories of origin and societal consequences. INTELLIGENCE 2015. [DOI: 10.1016/j.intell.2015.04.005] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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25
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Davis JM, Searles Quick VB, Sikela JM. Replicated linear association between DUF1220 copy number and severity of social impairment in autism. Hum Genet 2015; 134:569-75. [PMID: 25758905 DOI: 10.1007/s00439-015-1537-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Accepted: 02/27/2015] [Indexed: 11/25/2022]
Abstract
Sequences encoding DUF1220 protein domains exhibit an exceptional human-specific increase in copy number and have been associated with several phenotypes related to brain size. Autism is a highly heritable and heterogeneous condition characterized behaviorally by social and communicative impairments, and increased repetitive and stereotyped behavior. Given the accelerated brain growth pattern observed in many individuals with autism, and the association between DUF1220 subtype CON1 copy number and brain size, we previously investigated associations between CON1 copy number and autism-related symptoms. We determined that CON1 copy number increase is associated with increasing severity of all three behavioral features of autism. The present study sought to replicate these findings in an independent population (N = 166). Our results demonstrate a replication of the linear relationship between CON1 copy number and the severity of social impairment in individuals with autism as measured by Autism Diagnostic Interview-Revised Social Diagnostic Score, such that with each additional copy of CON1 Social Diagnostic Score increased 0.24 points (SE = 0.11, p = 0.036). We also identified an analogous trend between CON1 copy number and Communicative Diagnostic Score, but did not replicate the relationship between CON1 copy number and Repetitive Behavior Diagnostic Score. Interestingly, these associations appear to be most pronounced in multiplex children. These results, representing the first replication of a gene dosage relationship with the severity of a primary symptom of autism, lend further support to the possibility that the same protein domain family implicated in the evolutionary expansion of the human brain may also be involved in autism severity.
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Affiliation(s)
- J M Davis
- Department of Biochemistry and Molecular Genetics and Human Medical Genetics and Genomics, Medical Scientist Training and Neuroscience Programs, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, 80045, USA
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