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c.620C>T mutation in GATA4 is associated with congenital heart disease in South India

Overview of attention for article published in BMC Medical Genomics, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
c.620C>T mutation in GATA4 is associated with congenital heart disease in South India
Published in
BMC Medical Genomics, February 2015
DOI 10.1186/s12881-015-0152-7
Pubmed ID
Authors

Saidulu Mattapally, Sheikh Nizamuddin, Kona Samba Murthy, Kumarasamy Thangaraj, Sanjay K Banerjee

Abstract

Congenital heart diseases (CHDs) usually refer to abnormalities in the structure and/or function of the heart that arise before birth. GATA4 plays an important role in embryonic heart development, hence the aim of this study was to find the association of GATA4 mutations with CHD among the south Indian CHD patients. GATA4 gene was sequenced in 100 CHD patients (ASD, VSD, TOF and SV) and 200 controls. Functional significance of the observed GATA4 mutations was analyzed using PolyPhen, SIFT, PMut, Plink, Haploview, ESE finder 3.0 and CONSITE. We observed a total of 19 mutations, of which, one was in 5' UTR, 10 in intronic regions, 3 in coding regions and 5 in 3' UTR. Of the above mutations, one was associated with Atrial Septal Defect (ASD), two were found to be associated with Tetralogy of Fallot (TOF) and three (rs804280, rs4841587 and rs4841588) were strongly associated with Ventricular Septal Defect (VSD). Interestingly, one promoter mutation (-490 to 100 bp) i.e., 620 C>T (rs61277615, p-value = 0.008514), one splice junction mutation (G>A rs73203482; p-value = 9.6e-3, OR = 6.508) and one intronic mutation rs4841587 (p-value = 4.6e-3, OR = 4.758) were the most significant findings of this study. In silico analysis also proves that some of the mutations reported above are pathogenic. The present study found that GATA4 genetic variations are associated with ASD, TOF and VSD in South Indian patients. In silico analysis provides further evidence that some of the observed mutations are pathogenic.

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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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Ph. D. Student 10 19%
Student > Bachelor 7 13%
Researcher 7 13%
Student > Doctoral Student 3 6%
Other 5 9%
Unknown 12 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 26%
Medicine and Dentistry 9 17%
Agricultural and Biological Sciences 8 15%
Nursing and Health Professions 2 4%
Environmental Science 1 2%
Other 4 7%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 October 2019.
All research outputs
#6,238,666
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#409
of 2,444 outputs
Outputs of similar age
#64,926
of 269,057 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 38 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 83% 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 269,057 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.