| Title |
mtDNA Heteroplasmy in Monozygotic Twins Discordant for Schizophrenia
|
|---|---|
| Published in |
Molecular Neurobiology, June 2016
|
| DOI | 10.1007/s12035-016-9996-x |
| Pubmed ID | |
| Authors |
Hong Li, Rui Bi, Yu Fan, Yong Wu, Yanqing Tang, Zongchang Li, Ying He, Jun Zhou, Jinsong Tang, Xiaogang Chen, Yong-Gang Yao |
| Abstract |
Although monozygotic (MZ) twins have theoretically identical nuclear DNA sequences, there may be phenotypic differences between them caused by somatic mutations and epigenetic changes affecting each genome. In this study, we collected eight families of MZ twins discordant for schizophrenia with the aim of investigating the potential role of mitochondrial DNA (mtDNA) heteroplasmy in causing the phenotypic differences between the twin pairs. Next-generation sequencing (NGS) technology was used to screen the whole mitochondrial genome of the twin pairs and their parents. The mtDNA heteroplasmy level was found to be nearly identical between the twin pairs but was distinctly different between each mother and their offspring. These results suggest that the discordance of schizophrenia between MZ twins may not be attributable to the difference in mtDNA heteroplasmy, and the high concordance of mtDNA heteroplasmy between MZ twins may indicate the relatively equal distribution of mtDNA during embryo separation of MZ twins and/or the modulation effect from the same nuclear genetic background. Furthermore, we observed an overrepresentation of heteroplasmy in noncoding regions and an elevated ratio of nonsynonymous heteroplasmy, suggesting the possible effects of a purifying selection in shaping the pattern of mtDNA heteroplasmy. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Bachelor | 6 | 16% |
| Researcher | 5 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 30% |
| Agricultural and Biological Sciences | 5 | 14% |
| Neuroscience | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 6 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 May 2018.
All research outputs
#3,583,518
of 25,374,917 outputs
Outputs from Molecular Neurobiology
#629
of 3,959 outputs
Outputs of similar age
#61,229
of 368,661 outputs
Outputs of similar age from Molecular Neurobiology
#17
of 95 outputs
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So far Altmetric has tracked 3,959 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 82% of its peers.
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We're also able to compare this research output to 95 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.