| Title |
The UMOD Locus: Insights into the Pathogenesis and Prognosis of Kidney Disease
|
|---|---|
| Published in |
Journal of the American Society of Nephrology, November 2017
|
| DOI | 10.1681/asn.2017070716 |
| Pubmed ID | |
| Authors | |
| Abstract |
The identification of genetic factors associated with kidney disease has the potential to provide critical insights into disease mechanisms. Genome-wide association studies have uncovered genomic regions associated with renal function metrics and risk of CKD. UMOD is among the most outstanding loci associated with CKD in the general population, because it has a large effect on eGFR and CKD risk that is consistent across different ethnic groups. The relevance of UMOD for CKD is clear, because the encoded protein, uromodulin (Tamm-Horsfall protein), is exclusively produced by the kidney tubule and has specific biochemical properties that mediate important functions in the kidney and urine. Rare mutations in UMOD are the major cause of autosomal dominant tubulointerstitial kidney disease, a condition that leads to CKD and ESRD. In this brief review, we use the UMOD paradigm to describe how population genetic studies can yield insight into the pathogenesis and prognosis of kidney diseases. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| Austria | 1 | 13% |
| India | 1 | 13% |
| Spain | 1 | 13% |
| Switzerland | 1 | 13% |
| Venezuela, Bolivarian Republic of | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Student > Bachelor | 10 | 11% |
| Researcher | 9 | 10% |
| Other | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 15 | 17% |
| Unknown | 35 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 23% |
| Medicine and Dentistry | 16 | 18% |
| Agricultural and Biological Sciences | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 37 | 42% |