2014
DOI: 10.1002/ajmg.a.36647
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Truncating mutations in LRP4 lead to a prenatal lethal form of Cenani–Lenz syndrome

Abstract: Cenani-Lenz syndrome (CLS) is an autosomal recessive skeletal dysplasia that results in malformations of the distal limb, renal anomalies, and characteristic facies. In 2010, this condition was found to be caused by mutations in LRP4, a member of the low-density lipoprotein family of receptors. LRP4 has been shown to antagonize LRP5/LRP6 activation of WNT and β-catenin signaling. Loss of LRP4 function leads to excessive Wnt and β-catenin signaling in the limb bud, which causes abnormal limb development. The la… Show more

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Cited by 25 publications
(25 citation statements)
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“…S1 and S2), suggesting that Lrp4 loss in other cell types (e.g., chondrocytes) may contribute to this deficit. Interestingly, the digit deficit resembles the hand defect for sclerosteosis patients as well as for patients with CenaniLenz syndrome (27)(28)(29). Lrp4 mutations are also identified in patients with Cenani-Lenz syndrome, in addition to bone-related diseases (27)(28)(29).…”
Section: Discussionmentioning
confidence: 98%
“…S1 and S2), suggesting that Lrp4 loss in other cell types (e.g., chondrocytes) may contribute to this deficit. Interestingly, the digit deficit resembles the hand defect for sclerosteosis patients as well as for patients with CenaniLenz syndrome (27)(28)(29). Lrp4 mutations are also identified in patients with Cenani-Lenz syndrome, in addition to bone-related diseases (27)(28)(29).…”
Section: Discussionmentioning
confidence: 98%
“…The membrane scarcity of LRP4 has been demonstrated to downregulate Wnt signaling via an unknown mechanism. Recently, two homozygous truncating mutations in that gene have been shown to underlay a prenatally lethal form of the syndrome …”
Section: Introductionmentioning
confidence: 99%
“…Sequences were processed using NextGENe software (SoftGenetics, LLC, State College, PA) and .vcf files were uploaded to BENCH lab NGS (Cartagenia, Leuven, Belgium) for filtering and subsequent analysis of variants of interest as previously described [Lindy et al, 2014]. Benign variants were separated using the dbSNP, 1000 Genomes, and ESP6500 databases with an allele frequency cut off of 0.033.…”
Section: Methodsmentioning
confidence: 99%