DNA pooling base genome-wide association study identifies variants at NRXN3 associated with delayed encephalopathy after acute carbon monoxide poisoning.
DNA pooling base genome-wide association study identifies variants at NRXN3 associated with delayed encephalopathy after acute carbon monoxide poisoning.
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DOI:
10.1371/journal.pone.0079159
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Zhang H
中科院分区:
文献类型:
--
作者:
Li W;Zhang Y;Gu R;Zhang P;Liang F;Gu J;Zhang X;Zhang H;Zhang H
Delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) is more characteristic of anoxic encephalopathy than of other types of anoxia. Those who have the same poisoning degree and are of similar age and gender have a greater risk of getting DEACMP. This has made it clear that there are obvious personal differences. Genetic factors may play a very important role. The authors performed a genome-wide association study involving pooling of DNA obtained from 175 patients and 244 matched acute carbon monoxide poisoning without delayed encephalopathy controls. The Illumina HumanHap 660 Chip array was used for DNA pools. Allele frequencies of all SNPs were compared between delayed encephalopathy after acute carbon monoxide poisoning and control groups and ranked. A total of 123 SNPs gave an OR >1.4. Of these, 46 mapped in or close to known genes. Forty-eight SNPs located in 19 genes were associated with DEACMP after correction for 5% FDR in the genome-wide association of pooled DNA. Two SNPs (rs11845632 and rs2196447) locate in the Neurexin 3 gene were selected for individual genotyping in all samples and another cohort consisted of 234 and 271 controls. There were significant differences in the genotype and allele frequencies of rs11845632 and rs2196447 between the DEACMP group and controls group (all P-values <0.05). This study describes a positive association between Neurexin 3 and controls in the Han Chinese population, and provides genetic evidence to support the susceptibility of DEACMP, which may be the resulting interaction of environmental and genetic factors.
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影响因子:
4.5
作者:
Heard-Costa NL;Zillikens MC;Monda KL;Johansson A;Harris TB;Fu M;Haritunians T;Feitosa MF;Aspelund T;Eiriksdottir G;Garcia M;Launer LJ;Smith AV;Mitchell BD;McArdle PF;Shuldiner AR;Bielinski SJ;Boerwinkle E;Brancati F;Demerath EW;Pankow JS;Arnold AM;Chen YD;Glazer NL;McKnight B;Psaty BM;Rotter JI;Amin N;Campbell H;Gyllensten U;Pattaro C;Pramstaller PP;Rudan I;Struchalin M;Vitart V;Gao X;Kraja A;Province MA;Zhang Q;Atwood LD;Dupuis J;Hirschhorn JN;Jaquish CE;O'Donnell CJ;Vasan RS;White CC;Aulchenko YS;Estrada K;Hofman A;Rivadeneira F;Uitterlinden AG;Witteman JC;Oostra BA;Kaplan RC;Gudnason V;O'Connell JR;Borecki IB;van Duijn CM;Cupples LA;Fox CS;North KE
通讯作者:
North KE
影响因子:
4.7
作者:
Galvan, Antonella;Falvella, Felicia S.;Dragani, Tommaso A.
通讯作者:
Dragani, Tommaso A.
影响因子:
3.6
作者:
Diergaarde, Brenda;Brand, Randall;Whitcomb, David C.
通讯作者:
Whitcomb, David C.
影响因子:
3.5
作者:
Lachman, Herbert M.;Fann, Cathy S. J.;Knowles, James A.
通讯作者:
Knowles, James A.
影响因子:
5.2
作者:
Krumbiegel, Mandy;Pasutto, Francesca;Reis, Andre
通讯作者:
Reis, Andre