Genome, epigenome and RNA sequences of monozygotic twins discordant for multiple sclerosis

Monozygotic or ‘identical’ twins have been widely studied to dissect the relative contributions of genetics and environment in human diseases. In multiple sclerosis (MS), an autoimmune demyelinating disease and common cause of neurodegeneration and disability in young adults, disease discordance in monozygotic twins has been interpreted to indicate environmental importance in its pathogenesis. However, genetic and epigenetic differences between monozygotic twins have been described, challenging the accepted experimental model in disambiguating the effects of nature and nurture. Here we report the genome sequences of one MS-discordant monozygotic twin pair, and messenger RNA transcriptome and epigenome sequences of CD4+ lymphocytes from three MS-discordant, monozygotic twin pairs. No reproducible differences were detected between co-twins among ∼3.6 million single nucleotide polymorphisms (SNPs) or ∼0.2 million insertion-deletion polymorphisms. Nor were any reproducible differences observed between siblings of the three twin pairs in HLA haplotypes, confirmed MS-susceptibility SNPs, copy number variations, mRNA and genomic SNP and insertion-deletion genotypes, or the expression of ∼19,000 genes in CD4+ T cells. Only 2 to 176 differences in the methylation of ∼2 million CpG dinucleotides were detected between siblings of the three twin pairs, in contrast to ∼800 methylation differences between T cells of unrelated individuals and several thousand differences between tissues or between normal and cancerous tissues. In the first systematic effort to estimate sequence variation among monozygotic co-twins, we did not find evidence for genetic, epigenetic or transcriptome differences that explained disease discordance. These are the first, to our knowledge, female, twin and autoimmune disease individual genome sequences reported.

[1]  Multiple sclerosis in 54 twinships: Concordance rate is independent of zygosity , 1992 .

[2]  N. Risch,et al.  Twin concordance and sibling recurrence rates in multiple sclerosis , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[3]  T. Chitnis The Role of CD4 T Cells in the Pathogenesis of Multiple Sclerosis , 2007, International Review of Neurobiology.

[4]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[5]  Ludwig Kappos,et al.  Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci , 2009, Nature Genetics.

[6]  Jan Komorowski,et al.  Phenotypically concordant and discordant monozygotic twins display different DNA copy-number-variation profiles. , 2008, American journal of human genetics.

[7]  Adam M. Phillippy,et al.  Comparative genome assembly , 2004, Briefings Bioinform..

[8]  Stephen L. Hauser,et al.  The genetics of multiple sclerosis: SNPs to pathways to pathogenesis , 2008, Nature Reviews Genetics.

[9]  Ryan W. Kim,et al.  Genomic Convergence Analysis of Schizophrenia: mRNA Sequencing Reveals Altered Synaptic Vesicular Transport in Post-Mortem Cerebellum , 2008, PloS one.

[10]  Peter A. Jones,et al.  The Epigenomics of Cancer , 2007, Cell.

[11]  Neil A. Miller,et al.  Transcriptome sequencing of malignant pleural mesothelioma tumors , 2008, Proceedings of the National Academy of Sciences.

[12]  G. Machin Some causes of genotypic and phenotypic discordance in monozygotic twin pairs. , 1996, American journal of medical genetics.

[13]  Eric T. Wang,et al.  Alternative Isoform Regulation in Human Tissue Transcriptomes , 2008, Nature.

[14]  Steven J. M. Jones,et al.  Abyss: a Parallel Assembler for Short Read Sequence Data Material Supplemental Open Access , 2022 .

[15]  D. Miller,et al.  The British Isles survey of multiple sclerosis in twins , 1994, Neurology.

[16]  T. Mack,et al.  Differential twin concordance for multiple sclerosis by latitude of birthplace , 2006, Annals of neurology.

[17]  N. Risch,et al.  Evidence for genetic basis of multiple sclerosis , 1996, The Lancet.

[18]  Alvaro J. González,et al.  Management of High-Throughput DNA Sequencing Projects: Alpheus. , 2008, Journal of computer science and systems biology.

[19]  H. Cedar,et al.  Linking DNA methylation and histone modification: patterns and paradigms , 2009, Nature Reviews Genetics.

[20]  Gonçalo R. Abecasis,et al.  Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma , 2007, Nature.

[21]  P. Visscher,et al.  DNA methylation profiles in monozygotic and dizygotic twins , 2009, Nature Genetics.

[22]  U. Utz,et al.  Skewed T-cell receptor repertoire in genetically identical twins correlates with multiple sclerosis , 1993, Nature.

[23]  C. Zheng,et al.  ; 0 ; , 1951 .

[24]  T. Mikkelsen,et al.  Genome-scale DNA methylation maps of pluripotent and differentiated cells , 2008, Nature.

[25]  T. Harkins,et al.  Transcriptome sequencing of the Microarray Quality Control (MAQC) RNA reference samples using next generation sequencing , 2009, BMC Genomics.

[26]  Thomas D. Wu,et al.  A highly annotated whole-genome sequence of a Korean individual , 2009, Nature.

[27]  W. J. Dickinson,et al.  A genome-wide view of the spectrum of spontaneous mutations in yeast , 2008, Proceedings of the National Academy of Sciences.

[28]  A. Compston,et al.  Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis , 2001, Annals of neurology.

[29]  Martin A. Nowak,et al.  Comparative lesion sequencing provides insights into tumor evolution , 2008, Proceedings of the National Academy of Sciences.

[30]  M. Melbye,et al.  Familial risk of multiple sclerosis: a nationwide cohort study. , 2005, American journal of epidemiology.

[31]  T. Spector,et al.  Epigenetic differences arise during the lifetime of monozygotic twins. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[32]  P. Gringras,et al.  Mechanisms for differences in monozygous twins. , 2001, Early human development.

[33]  D. Hoisington,et al.  Comparative Map and Trait Viewer (CMTV): an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments , 2004, Plant Molecular Biology.

[34]  B. Charlesworth,et al.  Direct estimation of per nucleotide and genomic deleterious mutation rates in Drosophila , 2007, Nature.

[35]  Serban Nacu,et al.  Fast and SNP-tolerant detection of complex variants and splicing in short reads , 2010, Bioinform..

[36]  D. Clayton,et al.  Genome-wide analysis of allelic expression imbalance in human primary cells by high-throughput transcriptome resequencing , 2009, Human molecular genetics.