Improving HNF1β mutation detection rates: can a weighted score of clinical and familial characteristics help?
Author(s) -
Katharina Hopp
Publication year - 2014
Publication title -
kidney international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.499
H-Index - 276
eISSN - 1523-1755
pISSN - 0085-2538
DOI - 10.1038/ki.2014.245
Subject(s) - mutation , medicine , genetics , computational biology , biology , gene
Maturity-onset diabetes of the young type 5 (MODY5) presents with incomplete penetrance and phenotypic heterogeneity, often resulting in misdiagnosis with other renal disorders. Hence, HNF1β mutation detection rates in MODY5-like patients are low (∼15%) and standards for mutation analysis are lacking. Faguer et al. established a composite score evaluating the most frequent and specific features of MODY5. Further, they tested an algorithm that provides a rational for genetic testing and improves HNF1β mutation detection rates.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom