| Title |
Genome-wide association studies in pediatric chronic kidney disease
|
|---|---|
| Published in |
Pediatric Nephrology, October 2015
|
| DOI | 10.1007/s00467-015-3235-y |
| Pubmed ID | |
| Authors |
Jayanta Gupta, Peter A. Kanetsky, Matthias Wuttke, Anna Köttgen, Franz Schaefer, Craig S. Wong |
| Abstract |
The genome-wide association study (GWAS) has become an established scientific method that provides an unbiased screen for genetic loci potentially associated with phenotypes of clinical interest, such as chronic kidney disease (CKD). Thus, GWAS provides opportunities to gain new perspectives regarding the genetic architecture of CKD progression by identifying new candidate genes and targets for intervention. As such, it has become an important arm of translational science providing a complementary line of investigation to identify novel therapeutics to treat CKD. In this review, we describe the method and the challenges of performing GWAS in the pediatric CKD population. We also provide an overview of successful GWAS for kidney disease, and we discuss the established pediatric CKD cohorts in North America and Europe that are poised to identify genetic risk variants associated with CKD progression. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 25% |
| Student > Master | 7 | 25% |
| Student > Bachelor | 6 | 21% |
| Other | 3 | 11% |
| Researcher | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 29% |
| Agricultural and Biological Sciences | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Computer Science | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 18% |
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 22 October 2015.
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#18,429,163
of 22,830,751 outputs
Outputs from Pediatric Nephrology
#3,130
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Outputs of similar age
#203,717
of 283,225 outputs
Outputs of similar age from Pediatric Nephrology
#44
of 59 outputs
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