| Title |
A genetic variant in the placenta-derived MHC class I chain-related gene A increases the risk of preterm birth in a Chinese population
|
|---|---|
| Published in |
Human Genetics, September 2017
|
| DOI | 10.1007/s00439-017-1834-3 |
| Pubmed ID | |
| Authors |
Junjiao Song, Jing Li, Han Liu, Yuexin Gan, Yang Sun, Min Yu, Yongjun Zhang, Fei Luo, Ying Tian, Weiye Wang, Jun Zhang, Julian Little, Haidong Cheng, Dan Chen |
| Abstract |
Preterm birth (PTB) is a predominant contributor to neonatal mortality and morbidity worldwide. However, the pathophysiology of PTB is not well-understood. We tested the hypothesis that single-nucleotide polymorphisms (SNPs) in the placenta-derived MHC class I chain-related gene A (MICA) could disrupt placental development and hence result in PTB. Nineteen selected SNPs in MICA were genotyped in a case-control study of 127 premature infants and 634 term controls in a Chinese Han population. We found that significantly increased PTB risk was associated with homozygosity for the A variant of rs2256318 (adjusted odds ratio = 6.97 and 95% confidence interval = 2.34-20.74 for A/A, compared with G/G genotype, P = 0.001). In addition, the A/A genotype of rs2256318 was associated with decreased placental weight of neonates (β = -25.331; P = 0.033). Furthermore, stratified analysis demonstrated that the A/A genotype of rs2256318 was associated with increased PTB risk in female group. In addition, we observed statistical interaction between the polymorphism rs2516448 and sex (P = 0.04). No significant differences in the distribution of haplotypes between cases and controls were detected. Our results indicate that the polymorphism of rs2256318 in MICA may contribute to the etiology of PTB through interfering with placental development. These findings need to be further validated in larger and multi-ethnic populations. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Researcher | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Agricultural and Biological Sciences | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 September 2017.
All research outputs
#15,478,452
of 23,001,641 outputs
Outputs from Human Genetics
#2,547
of 2,958 outputs
Outputs of similar age
#198,321
of 316,305 outputs
Outputs of similar age from Human Genetics
#10
of 13 outputs
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