Quantitative trait loci modifying cardiac atrial septal morphology and risk of patent foramen ovale in the mouse

被引:21
作者
Kirk, EP
Hyun, C
Thomson, PC
Lai, D
Castro, ML
Biben, C
Buckley, MF
Martin, ICA
Moran, C
Harvey, RP
机构
[1] St Vincents Hosp, Victor Chang Cardiac Res Inst, Darlinghurst, NSW 2010, Australia
[2] Sydney Childrens Hosp, Randwick, NSW, Australia
[3] Univ New S Wales, Fac Med, Sch Womens & Childrens Hlth, Kensington, NSW 2033, Australia
[4] Univ Sydney, Ctr Adv Technol Anim Genet & Reprod, Sydney, NSW 2006, Australia
[5] Prince Wales Hosp, Mol & Cytogenet Unit, Randwick, NSW 2031, Australia
[6] Univ New S Wales, Fac Life Sci, Kensington, NSW 2033, Australia
[7] Univ New S Wales, Fac Med, Kensington, NSW 2033, Australia
关键词
atrial septal defect; patent foramen ovale; NKX2.5; quantitative trait locus;
D O I
10.1161/01.RES.0000209965.59312.aa
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Atrial septal defect (ASD) is a common congenital heart disease (CHD) occurring in 5 to 7 per 10 000 live births. Mutations in 5 human genes (NKX2.5, TBX5, GATA4, MYHC, ACTC) are known to cause dominant ASD, but these account for a minority of cases. Human and mouse data suggest that ASD exists in an anatomical continuum with milder septal variants patent foramen ovale (PFO) and atrial septal aneurysm, strongly associated with ischemic stroke and migraine. We have previously shown in inbred mice that the incidence of PFO strongly correlates with length of the interatrial septum primum, defining a quantitative trait underlying PFO risk. To better understand genetic causation of atrial septal abnormalities, we mapped quantitative trait loci (QTL) influencing septal morphology using mouse strains (QSi5 and 129T2/SvEms) maximally informative for PFO incidence and 3 quantitative septal anatomical traits including septum primum length. [QSi5 x 129T2/SvEms]F2 intercross animals (n = 1437) were phenotyped and a whole genome scan performed at an average 17-cM interval. Statistical methodology scoring PFO as a binary phenotype was developed as a confirmatory mapping technique. We mapped 7 significant and 6 suggestive QTL modifying quantitative phenotypes, with 4 supported by binary analysis. Quantitative traits, although strongly associated with PFO (P < 0.001), correlated poorly with each other and in all but 1 case QTL for different traits were nonoverlapping. Thus, multiple anatomical processes under separate genetic control contribute to risk of PFO. Our findings demonstrate the feasibility of modeling the genetic basis of common CHD using animal genetic and genomic technologies.
引用
收藏
页码:651 / 658
页数:8
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