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      Patterns and rates of exonic de novo mutations in autism spectrum disorders

      research-article
      1 , 2 , 3 , 4 , 5 , 3 , 1 , 2 , 6 , 7 , 2 , 7 , 4 , 8 , 2 , 9 , 4 , 8 , 2 , 10 , 10 , 7 , 7 , 5 , 11 , 11 , 4 , 8 , 4 , 8 , 3 , 12 , 12 , 6 , 6 , 6 , 6 , 6 , 6 , 6 , 2 , 13 , 1 , 2 , 1 , 2 , 1 , 2 , 2 , 1 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 14 , 14 , 14 , 15 , 2 , 9 , 6 , 16 , 4 , 8 , 12 , 17 , 18 , 19 , 6 , 5 , 7 , 10 , 1 , 2
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          Abstract

          Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified 1, 2 . To identify further genetic risk factors, we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n= 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant and the overall rate of mutation is only modestly higher than the expected rate. In contrast, there is significantly enriched connectivity among the proteins encoded by genes harboring de novo missense or nonsense mutations, and excess connectivity to prior ASD genes of major effect, suggesting a subset of observed events are relevant to ASD risk. The small increase in rate of de novo events, when taken together with the connections among the proteins themselves and to ASD, are consistent with an important but limited role for de novo point mutations, similar to that documented for de novo copy number variants. Genetic models incorporating these data suggest that the majority of observed de novo events are unconnected to ASD, those that do confer risk are distributed across many genes and are incompletely penetrant (i.e., not necessarily causal). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5 to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case-control study provide strong evidence in favor of CHD8 and KATNAL2 as genuine autism risk factors.

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          Most cited references5

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          Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations

          Evidence for the etiology of autism spectrum disorders (ASD) has consistently pointed to a strong genetic component complicated by substantial locus heterogeneity 1,2 . We sequenced the exomes of 20 sporadic cases of ASD and their parents, reasoning that these families would be enriched for de novo mutations of major effect. We identified 21 de novo mutations, of which 11 were protein-altering. Protein-altering mutations were significantly enriched for changes at highly conserved residues. We identified potentially causative de novo events in 4/20 probands, particularly among more severely affected individuals, in FOXP1, GRIN2B, SCN1A, and LAMC3. In the FOXP1 mutation carrier, we also observed a rare inherited CNTNAP2 mutation and provide functional support for a multihit model for disease risk 3 . Our results demonstrate that trio-based exome sequencing is a powerful approach for identifying novel candidate genes for ASD and suggest that de novo mutations may contribute substantially to the genetic risk for ASD.
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            The origins, patterns and implications of human spontaneous mutation.

            J F Crow (2000)
            The germline mutation rate in human males, especially older males, is generally much higher than in females, mainly because in males there are many more germ-cell divisions. However, there are some exceptions and many variations. Base substitutions, insertion-deletions, repeat expansions and chromosomal changes each follow different rules. Evidence from evolutionary sequence data indicates that the overall rate of deleterious mutation may be high enough to have a large effect on human well-being. But there are ways in which the impact of deleterious mutations can be mitigated.
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              Variation in genome-wide mutation rates within and between human families.

              J.B.S. Haldane proposed in 1947 that the male germline may be more mutagenic than the female germline. Diverse studies have supported Haldane's contention of a higher average mutation rate in the male germline in a variety of mammals, including humans. Here we present, to our knowledge, the first direct comparative analysis of male and female germline mutation rates from the complete genome sequences of two parent-offspring trios. Through extensive validation, we identified 49 and 35 germline de novo mutations (DNMs) in two trio offspring, as well as 1,586 non-germline DNMs arising either somatically or in the cell lines from which the DNA was derived. Most strikingly, in one family, we observed that 92% of germline DNMs were from the paternal germline, whereas, in contrast, in the other family, 64% of DNMs were from the maternal germline. These observations suggest considerable variation in mutation rates within and between families.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                22 February 2013
                04 April 2012
                02 April 2013
                : 485
                : 7397
                : 242-245
                Affiliations
                [1 ]Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02114
                [2 ]Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, 7 Cambridge Center, Cambridge, Massachusetts, 02142
                [3 ]Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, 10029
                [4 ]Seaver Autism Center for Research and Treatment, Mount Sinai School of Medicine, New York, New York, 10029
                [5 ]Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15232
                [6 ]Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030
                [7 ]Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
                [8 ]Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, 10029
                [9 ]Division of Genetics, Department of Medicine Brigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, 02115
                [10 ]Vanderbilt Brain Institute, Departments of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University, Nashville, Tennessee, 37232
                [11 ]Biostatistics Department and Computer Science Department, Johns Hopkins University, Baltimore, Maryland, 21205
                [12 ]Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, 10029
                [13 ]Department of Pharmacology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania 19104
                [14 ]HudsonAlpha Institute for Biotechnology, Huntsville Alabama, 35806
                [15 ]INSERM U952 and CNRS UMR 7224 and UPMC Univ Paris 06, 75005 Paris, France
                [16 ]Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, 77030
                [17 ]Friedman Brain Institute, Mount Sinai School of Medicine, New York, New York, 10029
                [18 ]Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, 60608
                [19 ]Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 15213
                Author notes
                Article
                NIHMS361899
                10.1038/nature11011
                3613847
                22495311
                eb6adbfd-beae-4220-b6af-0e2d07f69ba3

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                History
                Funding
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH089482 || MH
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH089208 || MH
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH089175 || MH
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH089025 || MH
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH089004 || MH
                Funded by: National Institute of Mental Health : NIMH
                Award ID: R01 MH057881 || MH
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