| Literature DB >> 17176459 |
Mario Di Silvestre1, Lucio Montanaro2,3, Patrizio Parisini1, Tiziana Greggi1, Davide Campoccia2, Simona Rizzi2, Carla Renata Arciola2,3.
Abstract
BACKGROUND: In a previous study, a number of genes, associated with spine musculoskeletal deformity phenotypes in mouse and in synteny between mouse and man, were identified as candidate genes for IS. Among these genes, MATN1, which carries a polymorphic microsatellite marker within its sequence, was selected for a linkage analysis. MATN1 is localised at 1p35 and is mainly expressed in cartilage. The objective of this study was to assess a linkage disequilibrium between the matrilin-1 (MATN1) gene and the idiopathic scoliosis (IS).Entities:
Year: 2006 PMID: 17176459 PMCID: PMC1769398 DOI: 10.1186/1748-7161-1-21
Source DB: PubMed Journal: Scoliosis ISSN: 1748-7161
Figure 1Detection of the genotype heterozygous 101 bp–103 bp for the microsatellite marker internal to MATN1 gene by the fragment analysis performed with the sequencer/genotyper CEQ8000. The red peaks are those of Size Standard, while the blue peaks correspond to the Cy5-labeled amplified fragments. The 100.43 nt-peak corresponds to the 101 bp allele and the102.56 nt-peak corresponds to the 103 bp allele.
Figure 2Detection of the genotype relative to the microsatellite internal to MATN1 gene through the analysis realized with Genomix LR-SC. 1) 100 bp band of the Size Standard; 2) and 3) Heterozygous sample 101 bp–103 bp; 4) Homozygous sample 101 bp–101 bp; 5) Homozygous sample 103 bp–103 bp.
Transmission of alleles of MATN1 gene in the 81 families of the study and ETDT results
| 2 | 6 | 25% | χ2 for "allele-wise" ETDT = 6.355804, 2 gl, p = 0.041757 | |||
| 28 | 43 | 39% | 3.169 | 0.0751 | χ2 for "genotype-wise" ETDT = 11.007881, 3 gl, p = 0.011743 | |
| 45 | 26 | 63% | 5.0585 | 0.0242 | χ2 for goodness-of-fit "allele-wise" model = 4.65207, 1 gl, p = 0.03106 |
T = number of transmitted alleles; NT = number of non-transmitted alleles; T.R.: transmission rate (%) = T/(T+NT) × 100.
ETDT is calculated as χ2 = (T - NT)2/(T + NT), 1 d.f. for each allele and consequently a logistic regression is performed outputting chi-squared statistics with 2 d.f. for allele-wise analysis and 3 d.f. for genotype-wise analysis.