Identification of FGF7 as a novel susceptibility locus for chronic obstructive pulmonary disease.
Identification of FGF7 as a novel susceptibility locus for chronic obstructive pulmonary disease.
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DOI:
10.1136/thoraxjnl-2011-200017
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发表时间:
2011-12
期刊:
影响因子:
10
通讯作者:
Celedón JC
中科院分区:
文献类型:
--
作者:
Brehm JM;Hagiwara K;Tesfaigzi Y;Bruse S;Mariani TJ;Bhattacharya S;Boutaoui N;Ziniti JP;Soto-Quiros ME;Avila L;Cho MH;Himes B;Litonjua AA;Jacobson F;Bakke P;Gulsvik A;Anderson WH;Lomas DA;Forno E;Datta S;Silverman EK;Celedón JC
Traditional genome-wide association studies (GWAS) of large cohort of subjects with chronic obstructive pulmonary disease (COPD) have successfully identified novel candidate genes, but several other plausible loci do not meet strict criteria for genome-wide significance after correction for multiple testing. We hypothesize that by applying unbiased weights derived from unique populations we can identify additional COPD susceptibility loci. We performed a homozygosity haplotype analysis on a group of subjects with and without COPD to identify regions of conserved homozygosity (RCHH). Weights were constructed based on the frequency of these RCHH in case vs. controls, and used to adjust the P values from a large collaborative GWAS of COPD. We identified 2,318 regions of conserved homozygosity, of which 576 were significantly (P < .05) overrepresented in cases. After applying the weights constructed from these regions to a collaborative GWAS of COPD, we identified two single nucleotide polymorphisms in a novel gene (FGF7) that gained genome-wide significance by the false discovery rate method. In a follow-up analysis, both SNPs (rs12591300 and rs4480740) were significantly associated with COPD in an independent population (combined P values of 7.9E-07 and 2.8E-06 respectively). In another independent population, increased lung tissue FGF7 expression was associated with worse measures of lung function. Weights constructed from a homozygosity haplotype analysis of an isolated population successfully identify novel genetic associations from a GWAS on a separate population. This method can be used to identify promising candidate genes that fail to meet strict correction for multiple testing.
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影响因子:
56.9
作者:
Morrow, Eric M.;Yoo, Seung-Yun;Flavell, Steven W.;Kim, Tae-Kyung;Lin, Yingxi;Hill, Robert Sean;Mukaddes, Nahit M.;Balkhy, Soher;Gascon, Generoso;Hashmi, Asif;Al-Saad, Samira;Ware, Janice;Joseph, Robert M.;Greenblatt, Rachel;Gleason, Danielle;Ertelt, Julia A.;Apse, Kira A.;Bodell, Adria;Partlow, Jennifer N.;Barry, Brenda;Yao, Hui;Markianos, Kyriacos;Ferland, Russell J.;Greenberg, Michael E.;Walsh, Christopher A.
通讯作者:
Walsh, Christopher A.
DOI:
10.1165/rcmb.2008-0114oc
发表时间:
2009-03-01
影响因子:
6.4
作者:
Bhattacharya, Soumyaroop;Srisuma, Sorachai;Mariani, Thomas J.
通讯作者:
Mariani, Thomas J.
影响因子:
30.8
作者:
Iafrate, AJ;Feuk, L;Lee, C
通讯作者:
Lee, C
DOI:
10.1073/pnas.86.3.802
发表时间:
1989-02-01
影响因子:
11.1
作者:
RUBIN, JS;OSADA, H;AARONSON, SA
通讯作者:
AARONSON, SA
影响因子:
56.9
作者:
WERNER, S;SMOLA, H;WILLIAMS, LT
通讯作者:
WILLIAMS, LT