↓ Skip to main content

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

Overview of attention for article published in Nature, April 2010
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Citations

dimensions_citation
426 Dimensions

Readers on

mendeley
692 Mendeley
citeulike
20 CiteULike
connotea
3 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome, epigenome and RNA sequences of monozygotic twins discordant for multiple sclerosis
Published in
Nature, April 2010
DOI 10.1038/nature08990
Pubmed ID
Authors

Sergio E. Baranzini, Joann Mudge, Jennifer C. van Velkinburgh, Pouya Khankhanian, Irina Khrebtukova, Neil A. Miller, Lu Zhang, Andrew D. Farmer, Callum J. Bell, Ryan W. Kim, Gregory D. May, Jimmy E. Woodward, Stacy J. Caillier, Joseph P. McElroy, Refujia Gomez, Marcelo J. Pando, Leonda E. Clendenen, Elena E. Ganusova, Faye D. Schilkey, Thiruvarangan Ramaraj, Omar A. Khan, Jim J. Huntley, Shujun Luo, Pui-yan Kwok, Thomas D. Wu, Gary P. Schroth, Jorge R. Oksenberg, Stephen L. Hauser, Stephen F. Kingsmore

Abstract

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 approximately 3.6 million single nucleotide polymorphisms (SNPs) or approximately 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 approximately 19,000 genes in CD4(+) T cells. Only 2 to 176 differences in the methylation of approximately 2 million CpG dinucleotides were detected between siblings of the three twin pairs, in contrast to approximately 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 692 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 5%
United Kingdom 11 2%
Canada 6 <1%
Japan 5 <1%
Germany 5 <1%
Brazil 4 <1%
Switzerland 3 <1%
Spain 3 <1%
France 3 <1%
Other 21 3%
Unknown 599 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 222 32%
Student > Ph. D. Student 129 19%
Professor > Associate Professor 53 8%
Student > Bachelor 52 8%
Professor 41 6%
Other 139 20%
Unknown 56 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 341 49%
Medicine and Dentistry 116 17%
Biochemistry, Genetics and Molecular Biology 68 10%
Neuroscience 23 3%
Immunology and Microbiology 18 3%
Other 53 8%
Unknown 73 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2023.
All research outputs
#965,279
of 26,017,215 outputs
Outputs from Nature
#31,449
of 99,074 outputs
Outputs of similar age
#2,819
of 106,884 outputs
Outputs of similar age from Nature
#108
of 598 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 106,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 598 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.