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Mutations of the phenylalanine hydroxylase gene in patients with phenylketonuria in Shanxi, China

Overview of attention for article published in Genetics and Molecular Biology, October 2012
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Title
Mutations of the phenylalanine hydroxylase gene in patients with phenylketonuria in Shanxi, China
Published in
Genetics and Molecular Biology, October 2012
DOI 10.1590/s1415-47572012005000069
Pubmed ID
Authors

Yong-An Zhou, Yun-Xia Ma, Quan-Bin Zhang, Wei-Hua Gao, Jian-Ping Liu, Jian-Ping Yang, Gai-Xiu Zhang, Xiao-Gang Zhang, Liang Yu

Abstract

The variation in mutations in exons 3, 6, 7, 11 and 12 of the phenylalanine hydroxylase (PAH) gene was investigated in 59 children with phenylketonuria (PKU) and 100 normal children. Three single nucleotide polymorphisms were detected by sequence analysis. The mutational frequencies of cDNA 696, cDNA 735 and cDNA 1155 in patients were 96.2%, 76.1% and 7.6%, respectively, whereas in healthy children the corresponding frequencies were 97.0%, 77.3% and 8.3%. In addition, 81 mutations accounted for 61.0% of the mutant alleles. R111X, H64 > TfsX9 and S70 del accounted for 5.1%, 0.8% and 0.8% mutation of alleles in exon 3, whereas EX6-96A > G accounted for 10.2% mutation of alleles in exon 6. R243Q had the highest incidence in exon 7 (12.7%), followed by Ivs7 + 2 T > A (5.1%) and T278I (2.5%). G247V, R252Q, L255S, R261Q and E280K accounted for 0.8% while Y356X and V399V accounted for 5.9% and 5.1%, respectively, in exon 11. R413P and A434D accounted for 5.9% and 2.5%, respectively, in exon 12. Seventy-two variant alleles accounted for the 16 mutations observed here. The mutation characteristics and distributions demonstrated that EX6-96A > G and R243Q were the hot regions for mutations in the PAH gene in Shanxi patients with PKU.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 3%
United States 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 38%
Student > Master 4 14%
Other 3 10%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 5 17%
Nursing and Health Professions 2 7%
Chemistry 2 7%
Other 4 14%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 December 2012.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Genetics and Molecular Biology
#344
of 771 outputs
Outputs of similar age
#116,848
of 192,620 outputs
Outputs of similar age from Genetics and Molecular Biology
#1
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 51% 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 192,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them