194 related articles for article (PubMed ID: 35121771)
1. Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits.
Choe EK; Shivakumar M; Verma A; Verma SS; Choi SH; Kim JS; Kim D
Sci Rep; 2022 Feb; 12(1):1930. PubMed ID: 35121771
[TBL] [Abstract][Full Text] [Related]
2. Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network.
Pendergrass SA; Brown-Gentry K; Dudek S; Frase A; Torstenson ES; Goodloe R; Ambite JL; Avery CL; Buyske S; Bůžková P; Deelman E; Fesinmeyer MD; Haiman CA; Heiss G; Hindorff LA; Hsu CN; Jackson RD; Kooperberg C; Le Marchand L; Lin Y; Matise TC; Monroe KR; Moreland L; Park SL; Reiner A; Wallace R; Wilkens LR; Crawford DC; Ritchie MD
PLoS Genet; 2013; 9(1):e1003087. PubMed ID: 23382687
[TBL] [Abstract][Full Text] [Related]
3. A data-driven approach for studying the role of body mass in multiple diseases: a phenome-wide registry-based case-control study in the UK Biobank.
Hyppönen E; Mulugeta A; Zhou A; Santhanakrishnan VK
Lancet Digit Health; 2019 Jul; 1(3):e116-e126. PubMed ID: 33323262
[TBL] [Abstract][Full Text] [Related]
4. Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study.
Li X; Meng X; He Y; Spiliopoulou A; Timofeeva M; Wei WQ; Gifford A; Yang T; Varley T; Tzoulaki I; Joshi P; Denny JC; Mckeigue P; Campbell H; Theodoratou E
PLoS Med; 2019 Oct; 16(10):e1002937. PubMed ID: 31626644
[TBL] [Abstract][Full Text] [Related]
5. Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.
Leader JB; Pendergrass SA; Verma A; Carey DJ; Hartzel DN; Ritchie MD; Kirchner HL
AMIA Annu Symp Proc; 2015; 2015():824-32. PubMed ID: 26958218
[TBL] [Abstract][Full Text] [Related]
6. INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.
Verma A; Leader JB; Verma SS; Frase A; Wallace J; Dudek S; Lavage DR; Van Hout CV; Dewey FE; Penn J; Lopez A; Overton JD; Carey DJ; Ledbetter DH; Kirchner HL; Ritchie MD; Pendergrass SA
Pac Symp Biocomput; 2016; 21():168-79. PubMed ID: 26776183
[TBL] [Abstract][Full Text] [Related]
7. Associations of genetically determined iron status across the phenome: A mendelian randomization study.
Gill D; Benyamin B; Moore LSP; Monori G; Zhou A; Koskeridis F; Evangelou E; Laffan M; Walker AP; Tsilidis KK; Dehghan A; Elliott P; Hyppönen E; Tzoulaki I
PLoS Med; 2019 Jun; 16(6):e1002833. PubMed ID: 31220083
[TBL] [Abstract][Full Text] [Related]
8. Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups.
Jeon S; Choi H; Jeon Y; Choi WH; Choi H; An K; Ryu H; Bhak J; Lee H; Kwon Y; Ha S; Kim YJ; Blazyte A; Kim C; Kim Y; Kang Y; Woo YJ; Lee C; Seo J; Yoon C; Bolser D; Biro O; Shin ES; Kim BC; Kim SY; Park JH; Jeon J; Jung D; Lee S; Bhak J
Gigascience; 2024 Jan; 13():. PubMed ID: 38626723
[TBL] [Abstract][Full Text] [Related]
9. Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study.
Hall MA; Verma A; Brown-Gentry KD; Goodloe R; Boston J; Wilson S; McClellan B; Sutcliffe C; Dilks HH; Gillani NB; Jin H; Mayo P; Allen M; Schnetz-Boutaud N; Crawford DC; Ritchie MD; Pendergrass SA
PLoS Genet; 2014 Dec; 10(12):e1004678. PubMed ID: 25474351
[TBL] [Abstract][Full Text] [Related]
10. Current Scope and Challenges in Phenome-Wide Association Studies.
Verma A; Ritchie MD
Curr Epidemiol Rep; 2017 Dec; 4(4):321-329. PubMed ID: 29545989
[TBL] [Abstract][Full Text] [Related]
11. The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery.
Pendergrass SA; Brown-Gentry K; Dudek SM; Torstenson ES; Ambite JL; Avery CL; Buyske S; Cai C; Fesinmeyer MD; Haiman C; Heiss G; Hindorff LA; Hsu CN; Jackson RD; Kooperberg C; Le Marchand L; Lin Y; Matise TC; Moreland L; Monroe K; Reiner AP; Wallace R; Wilkens LR; Crawford DC; Ritchie MD
Genet Epidemiol; 2011 Jul; 35(5):410-22. PubMed ID: 21594894
[TBL] [Abstract][Full Text] [Related]
12. A simulation study investigating power estimates in phenome-wide association studies.
Verma A; Bradford Y; Dudek S; Lucas AM; Verma SS; Pendergrass SA; Ritchie MD
BMC Bioinformatics; 2018 Apr; 19(1):120. PubMed ID: 29618318
[TBL] [Abstract][Full Text] [Related]
13. Health effects of high serum calcium levels: Updated phenome-wide Mendelian randomisation investigation and review of Mendelian randomisation studies.
Yuan S; Yu L; Gou W; Wang L; Sun J; Li D; Lu Y; Cai X; Yu H; Yuan C; Zheng JS; Larsson SC; Theodoratou E; Li X
EBioMedicine; 2022 Feb; 76():103865. PubMed ID: 35134646
[TBL] [Abstract][Full Text] [Related]
14. Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery.
Pendergrass SA; Ritchie MD
Curr Genet Med Rep; 2015 Jun; 3(2):92-100. PubMed ID: 26146598
[TBL] [Abstract][Full Text] [Related]
15. Methodology in phenome-wide association studies: a systematic review.
Wang L; Zhang X; Meng X; Koskeridis F; Georgiou A; Yu L; Campbell H; Theodoratou E; Li X
J Med Genet; 2021 Nov; 58(11):720-728. PubMed ID: 34272311
[TBL] [Abstract][Full Text] [Related]
16. Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals.
Kim C; Kim YJ; Choi W; Jang HM; Hwang MY; Jung S; Lim H; Hong SB; Yoon K; Kim BJ; Park HY; Han B
Hum Mol Genet; 2022 Aug; 31(15):2655-2667. PubMed ID: 35043955
[TBL] [Abstract][Full Text] [Related]
17. Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank.
Zhang X; Li X; He Y; Law PJ; Farrington SM; Campbell H; Tomlinson IPM; Houlston RS; Dunlop MG; Timofeeva M; Theodoratou E
Br J Cancer; 2022 Mar; 126(5):822-830. PubMed ID: 34912076
[TBL] [Abstract][Full Text] [Related]
18. NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results.
Sriram V; Shivakumar M; Jung SH; Nam Y; Bang L; Verma A; Lee S; Choe EK; Kim D
Gigascience; 2022 Feb; 11():. PubMed ID: 35166337
[TBL] [Abstract][Full Text] [Related]
19. Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia.
Semmes EC; Vijayakrishnan J; Zhang C; Hurst JH; Houlston RS; Walsh KM
Cancer Epidemiol Biomarkers Prev; 2020 Aug; 29(8):1606-1614. PubMed ID: 32467347
[TBL] [Abstract][Full Text] [Related]
20. The challenges, advantages and future of phenome-wide association studies.
Hebbring SJ
Immunology; 2014 Feb; 141(2):157-65. PubMed ID: 24147732
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]