Academic Journal

Recalculation of 23 mouse HDL QTL datasets improves accuracy and allows for better candidate gene analysis

التفاصيل البيبلوغرافية
العنوان: Recalculation of 23 mouse HDL QTL datasets improves accuracy and allows for better candidate gene analysis
المؤلفون: Cheryl Ackert-Bicknell, Beverly Paigen, Ron Korstanje
المصدر: Journal of Lipid Research, Vol 54, Iss 4, Pp 984-994 (2013)
بيانات النشر: Elsevier, 2013.
سنة النشر: 2013
المجموعة: LCC:Biochemistry
مصطلحات موضوعية: high-density lipoprotein, quantitative trait locus, meta-analysis, Biochemistry, QD415-436
الوصف: In the past 15 years, the quantitative trait locus (QTL) mapping approach has been applied to crosses between different inbred mouse strains to identify genetic loci associated with plasma HDL cholesterol levels. Although successful, a disadvantage of this method is low mapping resolution, as often several hundred candidate genes fall within the confidence interval for each locus. Methods have been developed to narrow these loci by combining the data from the different crosses, but they rely on the accurate mapping of the QTL and the treatment of the data in a consistent manner. We collected 23 raw datasets used for the mapping of previously published HDL QTL and reanalyzed the data from each cross using a consistent method and the latest mouse genetic map. By utilizing this approach, we identified novel QTL and QTL that were mapped to the wrong part of chromosomes. Our new HDL QTL map allows for reliable combining of QTL data and candidate gene analysis, which we demonstrate by identifying Grin3a and Etv6, as candidate genes for QTL on chromosomes 4 and 6, respectively. In addition, we were able to narrow a QTL on Chr 19 to five candidates.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0022-2275
Relation: http://www.sciencedirect.com/science/article/pii/S0022227520422035; https://doaj.org/toc/0022-2275
DOI: 10.1194/jlr.M033035
URL الوصول: https://doaj.org/article/eb36f85166f3476d8d8118112c59cd91
رقم الانضمام: edsdoj.b36f85166f3476d8d8118112c59cd91
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:00222275
DOI:10.1194/jlr.M033035