eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants

被引:25
|
作者
Verma, Anurag [1 ,2 ]
Verma, Shefali S. [1 ,2 ]
Pendergrass, Sarah A. [2 ]
Crawford, Dana C. [4 ]
Crosslin, David R. [5 ]
Kuivaniemi, Helena [3 ]
Bush, William S. [4 ]
Bradford, Yuki [1 ]
Kullo, Iftikhar
Bielinski, Suzette J.
Li, Rongling [9 ]
Denny, Joshua C. [6 ]
Peissig, Peggy [7 ]
Hebbring, Scott [7 ]
De Andrade, Mariza [8 ]
Ritchie, Marylyn D. [1 ,2 ]
Tromp, Gerard [3 ]
机构
[1] Penn State Univ, Ctr Syst Genom, Dept Biochem & Mol Biol, University Pk, PA 16802 USA
[2] Geisinger Hlth Syst, Biomed & Translat Informat, Danville, PA USA
[3] Univ Stellenbosch, Fac Med & Hlth Sci, Dept Biomed Sci, Div Mol Biol & Human Genet, ZA-7505 Tygerberg, South Africa
[4] Case Western Reserve Univ, Cleveland, OH 44106 USA
[5] Univ Washington, Dept Med, Div Med Genet, Seattle, WA 98195 USA
[6] Vanderbilt Univ, 221 Kirkland Hall, Nashville, TN 37235 USA
[7] Marshfield Clin Fdn Med Res & Educ, Marshfield, WI USA
[8] Mayo Clin, Rochester, MN USA
[9] NHGRI, Bethesda, MD 20892 USA
来源
BMC MEDICAL GENOMICS | 2016年 / 9卷
关键词
ELECTRONIC MEDICAL-RECORDS; GENOME; SUSCEPTIBILITY; POLYMORPHISMS; GENE; CHALLENGES; DISPERSION; MUTATION; NETWORK; DISEASE;
D O I
10.1186/s12920-016-0191-8
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: We explored premature stop-gain variants to test the hypothesis that variants, which are likely to have a consequence on protein structure and function, will reveal important insights with respect to the phenotypes associated with them. We performed a phenome-wide association study (PheWAS) exploring the association between a selected list of functional stop-gain genetic variants (variation resulting in truncated proteins or in nonsense-mediated decay) and an extensive group of diagnoses to identify novel associations and uncover potential pleiotropy. Results: In this study, we selected 25 stop-gain variants: 5 stop-gain variants with previously reported phenotypic associations, and a set of 20 putative stop-gain variants identified using dbSNP. For the PheWAS, we used data from the electronic MEdical Records and GEnomics (eMERGE) Network across 9 sites with a total of 41,057 unrelated patients. We divided all these samples into two datasets by equal proportion of eMERGE site, sex, race, and genotyping platform. We calculated single effect associations between these 25 stop-gain variants and ICD-9 defined case-control diagnoses. We also performed stratified analyses for samples of European and African ancestry. Associations were adjusted for sex, site, genotyping platform and the first three principal components to account for global ancestry. We identified previously known associations, such as variants in LPL associated with hyperglyceridemia indicating that our approach was robust. We also found a total of three significant associations with p < 0.01 in both datasets, with the most significant replicating result being LPL SNP rs328 and ICD-9 code 272. 1 "Disorder of Lipoid metabolism" (p(discovery) = 2.59x10-6, p(replicating) = 2.7x10-4). The other two significant replicated associations identified by this study are: variant rs1137617 in KCNH2 gene associated with ICD-9 code category 244 "Acquired Hypothyroidism" (p(discovery) = 5.31x103, p(replicating) = 1.15x10-3) and variant rs12060879 in DPT gene associated with ICD-9 code category 996 "Complications peculiar to certain specified procedures" (p(discovery) = 8. 65x103, p(replicating) = 4.16x10-3). Conclusion: In conclusion, this PheWAS revealed novel associations of stop-gained variants with interesting phenotypes (ICD-9 codes) along with pleiotropic effects.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Phenome-wide association study on miRNA-related sequence variants: the UK Biobank
    Mustafa, Rima
    Ghanbari, Mohsen
    Karhunen, Ville
    Evangelou, Marina
    Dehghan, Abbas
    HUMAN GENOMICS, 2023, 17 (01)
  • [22] Phenome-Wide Association Study of Severe COVID-19 Genetic Risk Variants
    Regan, Jessica A.
    Abdulrahim, Jawan W.
    Bihlmeyer, Nathan A.
    Haynes, Carol
    Kwee, Lydia Coulter
    Patel, Manesh R.
    Shah, Svati H.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2022, 11 (05):
  • [23] Phenome-Wide Association Study of UMOD Gene Variants and Differential Associations With Clinical Outcomes Across Populations in the Million Veteran Program a Multiethnic Biobank
    Akwo, Elvis A.
    Chen, Hua-Chang
    Liu, Ge
    Triozzi, Jefferson L.
    Tao, Ran
    Yu, Zhihong
    Chung, Cecilia P.
    Giri, Ayush
    Ikizler, T. Alp
    Stein, C. Michael
    Siew, Edward D.
    Feng, QiPing
    Robinson-Cohen, Cassianne
    Hung, Adriana M.
    VA Million Veteran Program, behalf of the V. A. Million Veteran Program
    KIDNEY INTERNATIONAL REPORTS, 2022, 7 (08): : 1802 - 1818
  • [24] A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
    Haupert, Spencer R.
    Shi, Xu
    Chen, Chen
    Fritsche, Lars G.
    Mukherjee, Bhramar
    JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 136
  • [25] Phenome-wide association study on miRNA-related sequence variants: the UK Biobank
    Rima Mustafa
    Mohsen Ghanbari
    Ville Karhunen
    Marina Evangelou
    Abbas Dehghan
    Human Genomics, 17
  • [26] Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia
    Doss, Jayanth
    Mo, Huan
    Carroll, Robert J.
    Crofford, Leslie J.
    Denny, Joshua C.
    ARTHRITIS & RHEUMATOLOGY, 2017, 69 (02) : 291 - 300
  • [27] Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia
    Doss, Jayanth
    Mo, Huan
    Crofford, Leslie J.
    Denny, Joshua C.
    ARTHRITIS & RHEUMATOLOGY, 2015, 67
  • [28] Phenome-Wide Association Study Identifies a New Association of Atrial Fibrillation in Males with Systemic Lupus Erythematosus
    Barnado, April
    Carroll, Robert
    Casey, Carolyn
    Denny, Joshua C.
    Crofford, Leslie J.
    ARTHRITIS & RHEUMATOLOGY, 2016, 68
  • [29] Unbiased Phenome-Wide Association Studies of Red Cell Distribution Width Identifies Key Associations with Pulmonary Hypertension
    Thayer, Timothy E.
    Huang, Shi
    Levinson, Rebecca T.
    Farber-Eger, Eric
    Assad, Tufik R.
    Huston, Jessica H.
    Mosley, Jonathan D.
    Wells, Quinn S.
    Brittain, Evan L.
    ANNALS OF THE AMERICAN THORACIC SOCIETY, 2019, 16 (05) : 589 - 598
  • [30] Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals
    Kim, Chanwoo
    Kim, Young Jin
    Choi, Wanson
    Jang, Hye-Mi
    Hwang, Mi Yeong
    Jung, Sunwoo
    Lim, Hyunjoon
    Bin Hong, Sang
    Yoon, Kyungheon
    Kim, Bong-Jo
    Park, Hyun-Young
    Han, Buhm
    HUMAN MOLECULAR GENETICS, 2022, 31 (15) : 2655 - 2667