Improving the Estimation of Celiac Disease Sibling Risk by Non-HLA Genes

被引:21
作者
Izzo, Valentina [1 ,2 ]
Pinelli, Michele [3 ]
Tinto, Nadia [4 ,5 ]
Esposito, Maria Valeria [4 ,5 ]
Cola, Arturo [4 ,5 ]
Sperandeo, Maria Pia [1 ,2 ]
Tucci, Francesca [1 ,2 ]
Cocozza, Sergio [3 ]
Greco, Luigi [1 ,2 ]
Sacchetti, Lucia [4 ,5 ]
机构
[1] Univ Naples Federico II, Dept Pediat, Naples, Italy
[2] Univ Naples Federico II, European Lab Food Induced Dis, Naples, Italy
[3] Univ Naples Federico II, Dept Cellular & Mol Biol & Pathol L Califano, Naples, Italy
[4] Scarl, CEINGE Adv Biotechnol, Naples, Italy
[5] Univ Naples Federico II, Dept Biochem & Med Biotechnol, Naples, Italy
关键词
GENOME-WIDE ASSOCIATION; VARIANTS; MARKERS;
D O I
10.1371/journal.pone.0026920
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Celiac Disease (CD) is a polygenic trait, and HLA genes explain less than half of the genetic variation. Through large GWAs more than 40 associated non-HLA genes were identified, but they give a small contribution to the heritability of the disease. The aim of this study is to improve the estimate of the CD risk in siblings, by adding to HLA a small set of non-HLA genes. One-hundred fifty-seven Italian families with a confirmed CD case and at least one other sib and both parents were recruited. Among 249 sibs, 29 developed CD in a 6 year follow-up period. All individuals were typed for HLA and 10 SNPs in non-HLA genes: CCR1/CCR3 (rs6441961), IL12A/SCHIP1 and IL12A (rs17810546 and rs9811792), TAGAP (rs1738074), RGS1 (rs2816316), LPP (rs1464510), OLIG3 (rs2327832), REL (rs842647), IL2/IL21 (rs6822844), SH2B3 (rs3184504). Three associated SNPs (in LPP, REL, and RGS1 genes) were identified through the Transmission Disequilibrium Test and a Bayesian approach was used to assign a score (BS) to each detected HLA+SNPs genotype combination. We then classified CD sibs as at low or at high risk if their BS was respectively < or >= median BS value within each HLA risk group. A larger number (72%) of CD sibs showed a BS >= the median value and had a more than two fold higher OR than CD sibs with a BS value < the median (O. R = 2.53, p = 0.047). Our HLA+SNPs genotype classification, showed both a higher predictive negative value (95% vs 91%) and diagnostic sensitivity (79% vs 45%) than the HLA only. In conclusion, the estimate of the CD risk by HLA+SNPs approach, even if not applicable to prevention, could be a precious tool to improve the prediction of the disease in a cohort of first degree relatives, particularly in the low HLA risk groups.
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