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Combined association of Presenilin-1 and Apolipoprotein E polymorphisms with maternal meiosis II error in Down syndrome births

Overview of attention for article published in Genetics and Molecular Biology, July 2017
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Title
Combined association of Presenilin-1 and Apolipoprotein E polymorphisms with maternal meiosis II error in Down syndrome births
Published in
Genetics and Molecular Biology, July 2017
DOI 10.1590/1678-4685-gmb-2016-0138
Pubmed ID
Authors

Pranami Bhaumik, Priyanka Ghosh, Sujay Ghosh, Eleanor Feingold, Umut Ozbek, Biswanath Sarkar, Subrata Kumar Dey

Abstract

Alzheimer's disease and Down syndrome often exhibit close association and predictively share common genetic risk-factors. Presenilin-1 (PSEN-1) and Apolipoprotein E (APOE) genes are associated with early and late onset of Alzheimer's disease, respectively. Presenilin -1 is involved in faithful chromosomal segregation. A higher frequency of the APOE ε4 allele has been reported among young mothers giving birth to Down syndrome children. In this study, 170 Down syndrome patients, grouped according to maternal meiotic stage of nondisjunction and maternal age at conception, and their parents were genotyped for PSEN-1 intron-8 and APOE polymorphisms. The control group consisted of 186 mothers of karyotypically normal children. The frequencies of the PSEN-1 T allele and TT genotype, in the presence of the APOE ε4 allele, were significantly higher among young mothers (< 35 years) with meiosis II nondisjunction than in young control mothers (96.43% vs. 65.91% P = 0.0002 and 92.86% vs. 45.45% P < 0.0001 respectively) but not among mothers with meiosis I nondisjunction. We infer that the co-occurrence of the PSEN-1 T allele and the APOE ε4 allele associatively increases the risk of meiotic segregation error II among young women.

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Mendeley readers

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 > Bachelor 4 11%
Lecturer 3 8%
Student > Master 3 8%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 16 43%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Psychology 3 8%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 1 3%
Other 3 8%
Unknown 19 51%
Attention Score in Context

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 03 August 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#552
of 772 outputs
Outputs of similar age
#252,930
of 326,986 outputs
Outputs of similar age from Genetics and Molecular Biology
#4
of 8 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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