Almoguera Berta, Vazquez Lyam, Mentch Frank, Connolly John, Pacheco Jennifer A, Sundaresan Agnes S, Peissig Peggy L, Linneman James G, McCarty Catherine A, Crosslin David, Carrell David S, Lingren Todd, Namjou-Khales Bahram, Harley John B, Larson Eric, Jarvik Gail P, Brilliant Murray, Williams Marc S, Kullo Iftikhar J, Hysinger Erik B, Sleiman Patrick M A, Hakonarson Hakon
1 Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
2 Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Am J Respir Crit Care Med. 2017 Feb 15;195(4):456-463. doi: 10.1164/rccm.201604-0861OC.
Despite significant advances in knowledge of the genetic architecture of asthma, specific contributors to the variability in the burden between populations remain uncovered.
To identify additional genetic susceptibility factors of asthma in European American and African American populations.
A phenotyping algorithm mining electronic medical records was developed and validated to recruit cases with asthma and control subjects from the Electronic Medical Records and Genomics network. Genome-wide association analyses were performed in pediatric and adult asthma cases and control subjects with European American and African American ancestry followed by metaanalysis. Nominally significant results were reanalyzed conditioning on allergy status.
The validation of the algorithm yielded an average of 95.8% positive predictive values for both cases and control subjects. The algorithm accrued 21,644 subjects (65.83% European American and 34.17% African American). We identified four novel population-specific associations with asthma after metaanalyses: loci 6p21.31, 9p21.2, and 10q21.3 in the European American population, and the PTGES gene in African Americans. TEK at 9p21.2, which encodes TIE2, has been shown to be involved in remodeling the airway wall in asthma, and the association remained significant after conditioning by allergy. PTGES, which encodes the prostaglandin E synthase, has also been linked to asthma, where deficient prostaglandin E synthesis has been associated with airway remodeling.
This study adds to understanding of the genetic architecture of asthma in European Americans and African Americans and reinforces the need to study populations of diverse ethnic backgrounds to identify shared and unique genetic predictors of asthma.
尽管在哮喘遗传结构的认识上取得了重大进展,但不同人群间疾病负担差异的具体影响因素仍未明确。
识别欧美裔和非裔美国人中哮喘的其他遗传易感性因素。
开发并验证了一种挖掘电子病历的表型分析算法,用于从电子病历与基因组网络中招募哮喘患者和对照受试者。对具有欧美裔和非裔美国人血统的儿童及成人哮喘病例与对照受试者进行全基因组关联分析,随后进行荟萃分析。对名义上具有显著性的结果,根据过敏状态进行重新分析。
该算法的验证在病例组和对照组中均产生了平均95.8%的阳性预测值。该算法共纳入21,644名受试者(65.83%为欧美裔,34.17%为非裔美国人)。荟萃分析后,我们在欧美裔人群中发现了4个与哮喘相关的新的人群特异性关联位点:6p21.31、9p21.2和10q21.3,在非裔美国人中发现了PTGES基因。9p21.2上的TEK基因编码TIE2,已被证明参与哮喘气道壁重塑,且在根据过敏状态进行校正后,该关联仍具有显著性。PTGES基因编码前列腺素E合酶,也与哮喘有关,前列腺素E合成不足与气道重塑相关。
本研究增进了对欧美裔和非裔美国人哮喘遗传结构的理解,并强化了研究不同种族背景人群以识别哮喘共同和独特遗传预测因子的必要性。