Home LiteratureArticle Details
PMID: 29700473 Published · epublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder.

Nature genetics ·Vol. 50 ·No. 5 ·2018-00-26 ·Pages 727-736

Werling DM, Brand H, An JY, Stone MR, Zhu L, Glessner JT, Collins RL, Dong S, Layer RM, Markenscoff-Papadimitriou E, Farrell A, Schwartz GB, Wang HZ, Currall BB, Zhao X, Dea J, Duhn C, Erdman CA, Gilson MC, Yadav R, Handsaker RE, Kashin S, Klei L, Mandell JD, Nowakowski TJ, Liu Y, Pochareddy S, Smith L, Walker MF, Waterman MJ, He X, Kriegstein AR, Rubenstein JL, Sestan N, McCarroll SA, Neale BM, Coon H, Willsey AJ, Buxbaum JD, Daly MJ, State MW, Quinlan AR, Marth GT, Roeder K, Devlin B, Talkowski ME, Sanders SJ

Abstract

Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.

MeSH Terms
Autism Spectrum Disorder/genetics Female Genetic Predisposition to Disease/genetics Genome/genetics Genome-Wide Association Study/methods Humans INDEL Mutation/genetics Male Polymorphism, Single Nucleotide/genetics Protein Isoforms/genetics
Chemicals
Protein Isoforms
Authors & Affiliations
47 authors, click to expand affiliations / ORCID
Werling Donna M ORCID
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Brand Harrison
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
An Joon-Yong ORCID
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Stone Matthew R
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Zhu Lingxue
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA.
Glessner Joseph T
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Collins Ryan L ORCID
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
Dong Shan
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Layer Ryan M ORCID
Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. | USTAR Center for Genetic Discovery, University of Utah School of Medicine, Salt Lake City, UT, USA.
Markenscoff-Papadimitriou Eirene
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Farrell Andrew
Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. | USTAR Center for Genetic Discovery, University of Utah School of Medicine, Salt Lake City, UT, USA.
Schwartz Grace B
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Wang Harold Z
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Currall Benjamin B
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Zhao Xuefang
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Dea Jeanselle
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Duhn Clif
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Erdman Carolyn A
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Gilson Michael C
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Yadav Rachita
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. | Department of Neurology, Harvard Medical School, Boston, MA, USA. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Handsaker Robert E ORCID
Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. | Department of Genetics, Harvard Medical School, Boston, MA, USA.
Kashin Seva
Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. | Department of Genetics, Harvard Medical School, Boston, MA, USA.
Klei Lambertus
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mandell Jeffrey D
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Nowakowski Tomasz J
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. | Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA. | Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA.
Liu Yuwen
Department of Human Genetics, University of Chicago, Chicago, IL, USA.
Pochareddy Sirisha
Department of Neuroscience and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, USA.
Smith Louw
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Walker Michael F
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Waterman Matthew J
Department of Biology, Eastern Nazarene College, Quincy, MA, USA.
He Xin ORCID
Department of Human Genetics, University of Chicago, Chicago, IL, USA.
Kriegstein Arnold R
Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Rubenstein John L
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Sestan Nenad ORCID
Department of Neuroscience and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, USA.
McCarroll Steven A
Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. | Department of Genetics, Harvard Medical School, Boston, MA, USA.
Neale Benjamin M ORCID
Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. | Analytical and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. | Department of Medicine, Harvard Medical School, Boston, MA, USA.
Coon Hilary
Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA. | Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Willsey A Jeremy
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. | Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Buxbaum Joseph D
Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA. | Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. | Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. | Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Daly Mark J ORCID
Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. | Analytical and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. | Department of Medicine, Harvard Medical School, Boston, MA, USA.
State Matthew W
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Quinlan Aaron R ORCID
Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. | USTAR Center for Genetic Discovery, University of Utah School of Medicine, Salt Lake City, UT, USA. | Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Marth Gabor T ORCID
Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. | USTAR Center for Genetic Discovery, University of Utah School of Medicine, Salt Lake City, UT, USA.
Roeder Kathryn
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA. | Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
Devlin Bernie
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. [email protected].
Talkowski Michael E ORCID
Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. [email protected]. | Department of Neurology, Harvard Medical School, Boston, MA, USA. [email protected]. | Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. [email protected]. | Departments of Pathology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA. [email protected].
Sanders Stephan J
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. [email protected].
References (78)
78 references, click to expand
  1. Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). DOI
  2. The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.
    Astle, W. J. et al. The allelic landscape of human blood cell trait variation and links to common complex disease. Cell 167, 1415–1429 (2016). PMID: 27863252 DOI
  3. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease.
    de Lange, K. M. et al. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat. Genet. 49, 256–261 (2017). PMID: 28067908 DOI
  4. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.
    Sanders, S. J. et al. Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci. Neuron 87, 1215–1233 (2015). PMID: 26402605 DOI
  5. Deciphering Developmental Disorders Study. Prevalence and architecture of de novo mutations in developmental disorders. Nature 542, 433–438 (2017). DOI
  6. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects.
    Marshall, C. R. et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat. Genet. 49, 27–35 (2017). PMID: 27869829 DOI
  7. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).
    MacArthur, J. et al. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Res. 45 (D1), D896–D901 (2017). PMID: 27899670 DOI
  8. Fecundity of patients with schizophrenia, autism, bipolar disorder, depression, anorexia nervosa, or substance abuse vs their unaffected siblings.
    Power, R. A. et al. Fecundity of patients with schizophrenia, autism, bipolar disorder, depression, anorexia nervosa, or substance abuse vs their unaffected siblings. JAMA Psychiatry 70, 22–30 (2013). PMID: 23147713 DOI
  9. Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands.
    Jin, S. C. et al. Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands. Nat. Genet. 49, 1593–1601 (2017). PMID: 28991257 DOI
  10. ChIP-seq accurately predicts tissue-specific activity of enhancers.
    Visel, A. et al. ChIP–seq accurately predicts tissue-specific activity of enhancers. Nature 457, 854–858 (2009). PMID: 19212405 DOI
  11. From trans to cis: transcriptional regulatory networks in neocortical development.
    Shibata, M., Gulden, F. O. & Sestan, N. From trans to cis: transcriptional regulatory networks in neocortical development. Trends Genet. 31, 77–87 (2015). PMID: 25624274 DOI
  12. The Cellular and Molecular Landscapes of the Developing Human Central Nervous System.
    Silbereis, J. C., Pochareddy, S., Zhu, Y., Li, M. & Sestan, N. The cellular and molecular landscapes of the developing human central nervous system. Neuron 89, 248–268 (2016). PMID: 26796689 DOI
  13. Whole genome sequencing in psychiatric disorders: the WGSPD consortium.
    Sanders, S. J. et al. Whole genome sequencing in psychiatric disorders: the WGSPD consortium. Nat. Neurosci. 20, 1661–1668 (2017). PMID: 29184211 DOI
  14. Sequential translation of trinucleotide codons for the initiation and termination of protein synthesis.
    Caskey, C. T., Tompkins, R., Scolnick, E., Caryk, T. & Nirenberg, M. Sequential translation of trinucleotide codons for the initiation and termination of protein synthesis. Science 162, 135–138 (1968). PMID: 4877370 DOI
  15. The Simons Simplex Collection: a resource for identification of autism genetic risk factors.
    Fischbach, G. D. & Lord, C. The Simons Simplex Collection: a resource for identification of autism genetic risk factors. Neuron 68, 192–195 (2010). PMID: 20955926 DOI
  16. Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA.
    Turner, T. N. et al. Genome sequencing of autism-affected families reveals disruption of putative noncoding regulatory DNA. Am. J. Hum. Genet. 98, 58–74 (2016). PMID: 26749308 DOI
  17. An integrated map of structural variation in 2,504 human genomes.
    Sudmant, P. H. et al. An integrated map of structural variation in 2,504 human genomes. Nature 526, 75–81 (2015). PMID: 26432246 DOI
  18. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.
    McKenna, A. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010). PMID: 20644199 DOI
  19. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations.
    O’Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). PMID: 22495309 DOI
  20. Rate of de novo mutations and the importance of father's age to disease risk.
    Kong, A. et al. Rate of de novo mutations and the importance of father’s age to disease risk. Nature 488, 471–475 (2012). PMID: 22914163 DOI
  21. Analysis of protein-coding genetic variation in 60,706 humans.
    Lek, M. et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016). PMID: 27535533 DOI
  22. FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism.
    Darnell, J. C. et al. FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism. Cell 146, 247–261 (2011). PMID: 21784246 DOI
  23. ChromHMM: automating chromatin-state discovery and characterization.
    Ernst, J. & Kellis, M. ChromHMM: automating chromatin-state discovery and characterization. Nat. Methods 9, 215–216 (2012). PMID: 22373907 DOI
  24. Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia.
    Genovese, G. et al. Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia. Nat. Neurosci. 19, 1433–1441 (2016). PMID: 27694994 DOI
  25. A polygenic burden of rare disruptive mutations in schizophrenia.
    Purcell, S. M. et al. A polygenic burden of rare disruptive mutations in schizophrenia. Nature 506, 185–190 (2014). PMID: 24463508 DOI
  26. A genome-wide association study of autism using the Simons Simplex Collection: Does reducing phenotypic heterogeneity in autism increase genetic homogeneity?
    Chaste, P. et al. A genome-wide association study of autism using the Simons Simplex Collection: does reducing phenotypic heterogeneity in autism increase genetic homogeneity? Biol. Psychiatry 77, 775–784 (2015). PMID: 25534755 DOI
  27. Defining the diverse spectrum of inversions, complex structural variation, and chromothripsis in the morbid human genome.
    Collins, R. L. et al. Defining the diverse spectrum of inversions, complex structural variation, and chromothripsis in the morbid human genome. Genome Biol. 18, 36 (2017). PMID: 28260531 DOI
  28. Sequencing chromosomal abnormalities reveals neurodevelopmental loci that confer risk across diagnostic boundaries.
    Talkowski, M. E. et al. Sequencing chromosomal abnormalities reveals neurodevelopmental loci that confer risk across diagnostic boundaries. Cell 149, 525–537 (2012). PMID: 22521361 DOI
  29. The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies.
    Redin, C. et al. The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies. Nat. Genet. 49, 36–45 (2017). PMID: 27841880 DOI
  30. Paired-Duplication Signatures Mark Cryptic Inversions and Other Complex Structural Variation.
    Brand, H. et al. Paired-duplication signatures mark cryptic inversions and other complex structural variation. Am. J. Hum. Genet. 97, 170–176 (2015). PMID: 26094575 DOI
  31. Genomic Patterns of De Novo Mutation in Simplex Autism.
    Turner, T. N. et al. Genomic patterns of de novo mutation in simplex autism. Cell 171, 710–722 (2017). PMID: 28965761 DOI
  32. Genome-wide association studies for common diseases and complex traits.
    Hirschhorn, J. N. & Daly, M. J. Genome-wide association studies for common diseases and complex traits. Nat. Rev. Genet. 6, 95–108 (2005). PMID: 15716906 DOI
  33. Estimation of significance thresholds for genomewide association scans.
    Dudbridge, F. & Gusnanto, A. Estimation of significance thresholds for genomewide association scans. Genet. Epidemiol. 32, 227–234 (2008). PMID: 18300295 DOI
  34. Patterns and rates of exonic de novo mutations in autism spectrum disorders.
    Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). PMID: 22495311 DOI
  35. De novo mutations revealed by whole-exome sequencing are strongly associated with autism.
    Sanders, S. J. et al. De novo mutations revealed by whole-exome sequencing are strongly associated with autism. Nature 485, 237–241 (2012). PMID: 22495306 DOI
  36. Whole-genome sequencing of quartet families with autism spectrum disorder.
    Yuen, R. K. et al. Whole-genome sequencing of quartet families with autism spectrum disorder. Nat. Med. 21, 185–191 (2015). PMID: 25621899 DOI
  37. Improving genetic diagnosis in Mendelian disease with transcriptome sequencing.
    Cummings, B. B. et al. Improving genetic diagnosis in Mendelian disease with transcriptome sequencing. Sci. Transl. Med. 9, eaal5209 (2017). PMID: 28424332 DOI
  38. The PsychENCODE project.
    Akbarian, S. et al. The PsychENCODE project. Nat. Neurosci. 18, 1707–1712 (2015). PMID: 26605881 DOI
  39. van Berkum, N. L. et al. Hi-C: a method to study the three-dimensional architecture of genomes. J. Vis. Exp. 39, e1869 (2010).
  40. Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay.
    Melnikov, A. et al. Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay. Nat. Biotechnol. 30, 271–277 (2012). PMID: 22371084 DOI
  41. No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes.
    Johnson, E. C. et al. No evidence that schizophrenia candidate genes are more associated with schizophrenia than noncandidate genes. Biol. Psychiatry 82, 702–708 (2017). PMID: 28823710 DOI
  42. Evaluating historical candidate genes for schizophrenia.
    Farrell, M. S. et al. Evaluating historical candidate genes for schizophrenia. Mol. Psychiatry 20, 555–562 (2015). PMID: 25754081 DOI
  43. Munoz, A. et al. De novo indels within introns contribute to ASD incidence. Preprint at bioRxiv https://doi.org/10.1101/137471 (2017).
  44. Brandler, W. M. et al. Paternally inherited noncoding structural variants contribute to autism. Preprint at bioRxiv https://doi.org/10.1101/102327 (2017).
  45. The contribution of de novo coding mutations to autism spectrum disorder.
    Iossifov, I. et al. The contribution of de novo coding mutations to autism spectrum disorder. Nature 515, 216–221 (2014). PMID: 25363768 DOI
  46. Why most discovered true associations are inflated.
    Ioannidis, J. P. Why most discovered true associations are inflated. Epidemiology 19, 640–648 (2008). PMID: 18633328 DOI
  47. Toward better understanding of artifacts in variant calling from high-coverage samples.
    Li, H. Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics 30, 2843–2851 (2014). PMID: 24974202 DOI
  48. Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls.
    Zook, J. M. et al. Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls. Nat. Biotechnol. 32, 246–251 (2014). PMID: 24531798 DOI
  49. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.
    Li, H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993 (2011). PMID: 21903627 DOI
  50. A Bayesian framework for de novo mutation calling in parents-offspring trios.
    Wei, Q. et al. A Bayesian framework for de novo mutation calling in parents–offspring trios. Bioinformatics 31, 1375–1381 (2015). PMID: 25535243 DOI
  51. DeNovoGear: de novo indel and point mutation discovery and phasing.
    Ramu, A. et al. DeNovoGear: de novo indel and point mutation discovery and phasing. Nat. Methods 10, 985–987 (2013). PMID: 23975140 DOI
  52. Accurate de novo and transmitted indel detection in exome-capture data using microassembly.
    Narzisi, G. et al. Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nat. Methods 11, 1033–1036 (2014). PMID: 25128977 DOI
  53. VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research.
    Lai, Z. et al. VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research. Nucleic Acids Res. 44, e108 (2016). PMID: 27060149 DOI
  54. Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR.
    Yang, H. & Wang, K. Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR. Nat. Protoc. 10, 1556–1566 (2015). PMID: 26379229 DOI
  55. GENCODE: the reference human genome annotation for The ENCODE Project.
    Harrow, J. et al. GENCODE: the reference human genome annotation for The ENCODE Project. Genome Res. 22, 1760–1774 (2012). PMID: 22955987 DOI
  56. Detection of nonneutral substitution rates on mammalian phylogenies.
    Pollard, K. S., Hubisz, M. J., Rosenbloom, K. R. & Siepel, A. Detection of nonneutral substitution rates on mammalian phylogenies. Genome Res. 20, 110–121 (2010). PMID: 19858363 DOI
  57. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.
    Siepel, A. et al. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 15, 1034–1050 (2005). PMID: 16024819 DOI
  58. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism.
    Willsey, A. J. et al. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism. Cell 155, 997–1007 (2013). PMID: 24267886 DOI
  59. Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data.
    Wright, C. F. et al. Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data. Lancet 385, 1305–1314 (2015). PMID: 25529582 DOI
  60. The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment.
    Cotney, J. et al. The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment. Nat. Commun. 6, 6404 (2015). PMID: 25752243 DOI
  61. CHD8 regulates neurodevelopmental pathways associated with autism spectrum disorder in neural progenitors.
    Sugathan, A. et al. CHD8 regulates neurodevelopmental pathways associated with autism spectrum disorder in neural progenitors. Proc. Natl. Acad. Sci. USA 111, E4468–E4477 (2014). PMID: 25294932 DOI
  62. Characterization of the proteome, diseases and evolution of the human postsynaptic density.
    Bayés, A. et al. Characterization of the proteome, diseases and evolution of the human postsynaptic density. Nat. Neurosci. 14, 19–21 (2011). PMID: 21170055 DOI
  63. VISTA Enhancer Browser--a database of tissue-specific human enhancers.
    Visel, A., Minovitsky, S., Dubchak, I. & Pennacchio, L. A. VISTA Enhancer Browser—a database of tissue-specific human enhancers. Nucleic Acids Res. 35, D88–D92 (2007). PMID: 17130149 DOI
  64. An atlas of active enhancers across human cell types and tissues.
    Andersson, R. et al. An atlas of active enhancers across human cell types and tissues. Nature 507, 455–461 (2014). PMID: 24670763 DOI
  65. Mutations in Human Accelerated Regions Disrupt Cognition and Social Behavior.
    Doan, R. N. et al. Mutations in human accelerated regions disrupt cognition and social behavior. Cell 167, 341–354 (2016). PMID: 27667684 DOI
  66. Roadmap Epigenomics Consortium. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015). DOI
  67. Topological domains in mammalian genomes identified by analysis of chromatin interactions.
    Dixon, J. R. et al. Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature 485, 376–380 (2012). PMID: 22495300 DOI
  68. BEDTools: a flexible suite of utilities for comparing genomic features.
    Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010). PMID: 20110278 DOI
  69. The human genome browser at UCSC.
    Kent, W. J. et al. The human genome browser at UCSC. Genome Res. 12, 996–1006 (2002). PMID: 12045153 DOI
  70. DELLY: structural variant discovery by integrated paired-end and split-read analysis.
    Rausch, T. et al. DELLY: structural variant discovery by integrated paired-end and split-read analysis. Bioinformatics 28, i333–i339 (2012). PMID: 22962449 DOI
  71. LUMPY: a probabilistic framework for structural variant discovery.
    Layer, R. M., Chiang, C., Quinlan, A. R. & Hall, I. M. LUMPY: a probabilistic framework for structural variant discovery. Genome Biol. 15, R84 (2014). PMID: 24970577 DOI
  72. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.
    Chen, X. et al. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics 32, 1220–1222 (2016). PMID: 26647377 DOI
  73. Wham: Identifying Structural Variants of Biological Consequence.
    Kronenberg, Z. N. et al. Wham: identifying structural variants of biological consequence. PLoS Comput. Biol. 11, e1004572 (2015). PMID: 26625158 DOI
  74. Large multiallelic copy number variations in humans.
    Handsaker, R. E. et al. Large multiallelic copy number variations in humans. Nat. Genet. 47, 296–303 (2015). PMID: 25621458 DOI
  75. CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing.
    Abyzov, A., Urban, A. E., Snyder, M. & Gerstein, M. CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Res. 21, 974–984 (2011). PMID: 21324876 DOI
  76. cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate.
    Klambauer, G. et al. cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Nucleic Acids Res. 40, e69 (2012). PMID: 22302147 DOI
  77. The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology.
    Gardner, E. J. et al. The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology. Genome Res. 27, 1916–1929 (2017). PMID: 28855259 DOI
  78. Indexcov: fast coverage quality control for whole-genome sequencing.
    Pedersen, B. S., Collins, R. L., Talkowski, M. E. & Quinlan, A. R. Indexcov: fast coverage quality control for whole-genome sequencing. Gigascience 6, 1–6 (2017). PMID: 29048539 DOI
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1546-1718
Published
2018-00-26
Epub
2018-00-26
Pages
727-736
Language
English
Region
United States
NLM ID
9216904
PMCID
PMC5961723
Subset
IM
Grants
NIMH NIH HHS · R01 MH110928 · United States
NIMH NIH HHS · R37 MH057881 · United States
NIMH NIH HHS · U01 MH105575 · United States
NIMH NIH HHS · U01 MH100229 · United States
NIDCR NIH HHS · K99 DE026824 · United States
NIMH NIH HHS · U01 MH111660 · United States
NIMH NIH HHS · U01 MH100239 · United States
NINDS NIH HHS · R35 NS097305 · United States
NIMH NIH HHS · U01 MH111658 · United States
NIMH NIH HHS · U01 MH111661 · United States
NIGMS NIH HHS · P01 GM061354 · United States
NIMH NIH HHS · R01 MH109901 · United States
NICHD NIH HHS · R01 HD081256 · United States
NIMH NIH HHS · U01 MH111662 · United States
NIMH NIH HHS · R01 MH109904 · United States
NIMH NIH HHS · R01 MH109900 · United States
Corrections
CommentIn
CommentIn
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]