| Year |
Citation |
Score |
| 2023 |
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, Locke AE, Marouli E, Hwang MY, Han S, Narita A, ... ... Pendergrass SA, et al. Author Correction: The power of genetic diversity in genome-wide association studies of lipids. Nature. PMID 37237109 DOI: 10.1038/s41586-023-06194-2 |
0.804 |
|
| 2022 |
Gorski M, Rasheed H, Teumer A, Thomas LF, Graham SE, Sveinbjornsson G, Winkler TW, Günther F, Stark KJ, Chai JF, Tayo BO, Wuttke M, Li Y, Tin A, Ahluwalia TS, ... ... Pendergrass SA, et al. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. Kidney International. PMID 35716955 DOI: 10.1016/j.kint.2022.05.021 |
0.313 |
|
| 2022 |
Piekos JA, Hellwege JN, Zhang Y, Torstenson ES, Jarvik GP, Dikilitas O, Kullo IJ, Schaid DJ, Crosslin DR, Pendergrass SA, Lee MTM, Roden D, Denny JC, Edwards TL, Velez Edwards DR. Uterine fibroid polygenic risk score (PRS) associates and predicts risk for uterine fibroid. Human Genetics. PMID 35226188 DOI: 10.1007/s00439-022-02442-z |
0.55 |
|
| 2021 |
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, Locke AE, Marouli E, Hwang MY, Han S, Narita A, ... ... Pendergrass SA, et al. The power of genetic diversity in genome-wide association studies of lipids. Nature. PMID 34887591 DOI: 10.1038/s41586-021-04064-3 |
0.82 |
|
| 2021 |
Hall MA, Wallace J, Lucas AM, Bradford Y, Verma SS, Müller-Myhsok B, Passero K, Zhou J, McGuigan J, Jiang B, Pendergrass SA, Zhang Y, Peissig P, Brilliant M, Sleiman P, et al. Novel EDGE encoding method enhances ability to identify genetic interactions. Plos Genetics. 17: e1009534. PMID 34086673 DOI: 10.1371/journal.pgen.1009534 |
0.823 |
|
| 2021 |
Shang N, Khan A, Polubriaginof F, Zanoni F, Mehl K, Fasel D, Drawz PE, Carrol RJ, Denny JC, Hathcock MA, Arruda-Olson AM, Peissig PL, Dart RA, Brilliant MH, Larson EB, ... ... Pendergrass S, et al. Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. Npj Digital Medicine. 4: 70. PMID 33850243 DOI: 10.1038/s41746-021-00428-1 |
0.737 |
|
| 2021 |
Gharahkhani P, Jorgenson E, Hysi P, Khawaja AP, Pendergrass S, Han X, Ong JS, Hewitt AW, Segrè AV, Rouhana JM, Hamel AR, Igo RP, Choquet H, Qassim A, Josyula NS, et al. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries. Nature Communications. 12: 1258. PMID 33627673 DOI: 10.1038/s41467-020-20851-4 |
0.377 |
|
| 2021 |
Li R, Duan R, Zhang X, Lumley T, Pendergrass S, Bauer C, Hakonarson H, Carrell DS, Smoller JW, Wei WQ, Carroll R, Velez Edwards DR, Wiesner G, Sleiman P, Denny JC, et al. Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics. Nature Communications. 12: 168. PMID 33420026 DOI: 10.1038/s41467-020-20211-2 |
0.801 |
|
| 2020 |
Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, ... ... Pendergrass SA, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney International. PMID 33137338 DOI: 10.1016/j.kint.2020.09.030 |
0.372 |
|
| 2020 |
Palmer MR, Kim DS, Crosslin DR, Stanaway IB, Rosenthal EA, Carrell DS, Cronkite DJ, Gordon A, Du X, Li YK, Williams MS, Weng C, Feng Q, Li R, Pendergrass SA, et al. Loci identified by a genome-wide association study of carotid artery stenosis in the eMERGE network. Genetic Epidemiology. PMID 32964493 DOI: 10.1002/gepi.22360 |
0.357 |
|
| 2020 |
Veatch OJ, Bauer CR, Keenan BT, Josyula NS, Mazzotti DR, Bagai K, Malow BA, Robishaw JD, Pack AI, Pendergrass SA. Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records. Bmc Medical Genomics. 13: 105. PMID 32711518 DOI: 10.1186/S12920-020-00755-4 |
0.58 |
|
| 2020 |
Zhang Y, Ho K, Keaton JM, Hartzel DN, Day F, Justice AE, Josyula NS, Pendergrass SA, Actkins K, Davis LK, Velez Edwards DR, Holohan B, Ramirez A, Stanaway IB, Crosslin DR, et al. A genome-wide association study of polycystic ovary syndrome identified from electronic health records. American Journal of Obstetrics and Gynecology. PMID 32289280 DOI: 10.1016/J.Ajog.2020.04.004 |
0.376 |
|
| 2020 |
Joo YY, Actkins K, Pacheco JA, Basile AO, Carroll R, Crosslin DR, Day F, Denny JC, Velez Edwards DR, Hakonarson H, Harley JB, Hebbring SJ, Ho K, Jarvik GP, Jones M, ... ... Pendergrass S, et al. A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies. The Journal of Clinical Endocrinology and Metabolism. PMID 31917831 DOI: 10.1210/Clinem/Dgz326 |
0.756 |
|
| 2019 |
Cava W, Bauer C, Moore JH, Pendergrass SA. Interpretation of machine learning predictions for patient outcomes in electronic health records. Amia ... Annual Symposium Proceedings. Amia Symposium. 2019: 572-581. PMID 32308851 |
0.661 |
|
| 2019 |
Pendergrass SA, Buyske S, Jeff JM, Frase A, Dudek S, Bradford Y, Ambite JL, Avery CL, Buzkova P, Deelman E, Fesinmeyer MD, Haiman C, Heiss G, Hindorff LA, Hsu CN, et al. A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. Plos One. 14: e0226771. PMID 31891604 DOI: 10.1371/Journal.Pone.0226771 |
0.744 |
|
| 2019 |
Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, Sveinbjornsson G, Li M, Chu AY, Hoppmann A, ... ... Pendergrass SA, et al. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nature Genetics. PMID 31578528 DOI: 10.1038/S41588-019-0504-X |
0.613 |
|
| 2019 |
Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, Feitosa MF, Wang L, ... ... Pendergrass SA, et al. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria. Nature Communications. 10: 4130. PMID 31511532 DOI: 10.1038/S41467-019-11576-0 |
0.63 |
|
| 2019 |
Zhang Y, Poler SM, Li J, Abedi V, Pendergrass SA, Williams MS, Lee MTM. Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. Bmc Medicine. 17: 168. PMID 31455332 DOI: 10.1186/S12916-019-1405-7 |
0.425 |
|
| 2019 |
Edwards TL, Giri A, Hellwege JN, Hartmann KE, Stewart EA, Jeff JM, Bray MJ, Pendergrass SA, Torstenson ES, Keaton JM, Jones SH, Gogoi RP, Kuivaniemi H, Jackson KL, Kho AN, et al. A -Ethnic Genome-Wide Association Study of Uterine Fibroids. Frontiers in Genetics. 10: 511. PMID 31249589 DOI: 10.3389/Fgene.2019.00511 |
0.634 |
|
| 2019 |
Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, ... ... Pendergrass SA, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nature Genetics. 51: 957-972. PMID 31152163 DOI: 10.1038/s41588-019-0407-x |
0.553 |
|
| 2019 |
Zhang X, Veturi Y, Verma S, Bone W, Verma A, Lucas A, Hebbring S, Denny JC, Stanaway IB, Jarvik GP, Crosslin D, Larson EB, Rasmussen-Torvik L, Pendergrass SA, Smoller JW, et al. Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43,870 individuals from the eMERGE network. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 272-283. PMID 30864329 |
0.829 |
|
| 2019 |
Safarova MS, Satterfield BA, Fan X, Austin EE, Ye Z, Bastarache L, Zheng N, Ritchie MD, Borthwick KM, Williams MS, Larson EB, Scrol A, Jarvik GP, Crosslin DR, Leppig K, ... ... Pendergrass SA, et al. A phenome-wide association study to discover pleiotropic effects of , , and . Npj Genomic Medicine. 4: 3. PMID 30774981 DOI: 10.1038/S41525-019-0078-7 |
0.72 |
|
| 2019 |
Zhang X, Basile AO, Pendergrass SA, Ritchie MD. Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. Bmc Bioinformatics. 20: 46. PMID 30669967 DOI: 10.1186/S12859-018-2591-6 |
0.815 |
|
| 2019 |
Pendergrass SA, Crawford DC. Using Electronic Health Records To Generate Phenotypes For Research. Current Protocols in Human Genetics. 100: e80. PMID 30516347 DOI: 10.1002/Cphg.80 |
0.379 |
|
| 2019 |
Veatch O, Bauer C, Mazzotti D, Keenan B, Robishaw J, Bagai K, Malow B, Pack A, Pendergrass S. Comprehensive characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea across multiple United States clinics Sleep Medicine. 64: S402. DOI: 10.1016/J.Sleep.2019.11.1119 |
0.514 |
|
| 2018 |
Verma A, Bang L, Miller JE, Zhang Y, Lee MTM, Zhang Y, Byrska-Bishop M, Carey DJ, Ritchie MD, Pendergrass SA, Kim D. Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals. American Journal of Human Genetics. PMID 30598166 DOI: 10.1016/J.Ajhg.2018.11.006 |
0.825 |
|
| 2018 |
Hall TO, Stanaway IB, Carrell DS, Carroll RJ, Denny JC, Hakonarson H, Larson EB, Mentch FD, Peissig PL, Pendergrass SA, Rosenthal EA, Jarvik GP, Crosslin DR. Unfolding of hidden white blood cell count phenotypes for gene discovery using latent class mixed modeling. Genes and Immunity. PMID 30459343 DOI: 10.1038/S41435-018-0051-Y |
0.397 |
|
| 2018 |
Cha EDK, Veturi Y, Agarwal C, Patel A, Arbabshirani MR, Pendergrass SA. Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery. Journal of Obesity. 2018: 3253096. PMID 30363675 DOI: 10.1155/2018/3253096 |
0.661 |
|
| 2018 |
Verma SS, Josyula N, Verma A, Zhang X, Veturi Y, Dewey FE, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. Author Correction: Rare variants in drug target genes contributing to complex diseases, phenome-wide. Scientific Reports. 8: 15911. PMID 30353015 DOI: 10.1038/S41598-018-27936-7 |
0.782 |
|
| 2018 |
Stanaway IB, Hall TO, Rosenthal EA, Palmer M, Naranbhai V, Knevel R, Namjou-Khales B, Carroll RJ, Kiryluk K, Gordon AS, Linder J, Howell KM, Mapes BM, Lin FTJ, Joo YY, ... ... Pendergrass SA, et al. The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype. Genetic Epidemiology. PMID 30298529 DOI: 10.1002/Gepi.22167 |
0.699 |
|
| 2018 |
Verma A, Bradford Y, Dudek S, Lucas AM, Verma SS, Pendergrass SA, Ritchie MD. A simulation study investigating power estimates in phenome-wide association studies. Bmc Bioinformatics. 19: 120. PMID 29618318 DOI: 10.1186/S12859-018-2135-0 |
0.813 |
|
| 2018 |
Verma A, Lucas A, Verma SS, Zhang Y, Josyula N, Khan A, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger. American Journal of Human Genetics. PMID 29606303 DOI: 10.1016/J.Ajhg.2018.02.017 |
0.84 |
|
| 2018 |
Verma SS, Josyula N, Verma A, Zhang X, Veturi Y, Dewey FE, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. Rare variants in drug target genes contributing to complex diseases, phenome-wide. Scientific Reports. 8: 4624. PMID 29545597 DOI: 10.1038/S41598-018-22834-4 |
0.829 |
|
| 2018 |
Beaulieu-Jones BK, Lavage DR, Snyder JW, Moore JH, Pendergrass SA, Bauer CR. Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis. Jmir Medical Informatics. 6: e11. PMID 29475824 DOI: 10.2196/Medinform.8960 |
0.785 |
|
| 2017 |
Helle EIT, Biegley P, Knowles JW, Leader JB, Pendergrass S, Yang W, Reaven GR, Shaw GM, Ritchie M, Priest JR. First Trimester Plasma Glucose Values in Women without Diabetes are Associated with Risk for Congenital Heart Disease in Offspring. The Journal of Pediatrics. PMID 29254757 DOI: 10.1016/J.Jpeds.2017.10.046 |
0.567 |
|
| 2017 |
Hall MA, Wallace J, Lucas A, Kim D, Basile AO, Verma SS, McCarty CA, Brilliant MH, Peissig PL, Kitchner TE, Verma A, Pendergrass SA, Dudek SM, Moore JH, Ritchie MD. PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies. Nature Communications. 8: 1167. PMID 29079728 DOI: 10.1038/S41467-017-00802-2 |
0.818 |
|
| 2017 |
Haggerty CM, James CA, Calkins H, Tichnell C, Leader JB, Hartzel DN, Nevius CD, Pendergrass SA, Person TN, Schwartz M, Ritchie MD, Carey DJ, Ledbetter DH, Williams MS, Dewey FE, et al. Electronic health record phenotype in subjects with genetic variants associated with arrhythmogenic right ventricular cardiomyopathy: a study of 30,716 subjects with exome sequencing. Genetics in Medicine : Official Journal of the American College of Medical Genetics. PMID 28471438 DOI: 10.1038/Gim.2017.40 |
0.664 |
|
| 2017 |
Kim D, Volk H, Girirajan S, Pendergrass S, Hall MA, Verma SS, Schmidt RJ, Hansen RL, Ghosh D, Ludena-Rodriguez Y, Kim K, Ritchie MD, Hertz-Picciotto I, Selleck SB. The joint effect of air pollution exposure and copy number variation on risk for autism. Autism Research : Official Journal of the International Society For Autism Research. PMID 28448694 DOI: 10.1002/Aur.1799 |
0.786 |
|
| 2017 |
Verma A, Bradford Y, Verma SS, Pendergrass SA, Daar ES, Venuto C, Morse GD, Ritchie MD, Haas DW. Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202. Pharmacogenetics and Genomics. PMID 28099408 DOI: 10.1097/Fpc.0000000000000263 |
0.782 |
|
| 2016 |
Dewey FE, Murray MF, Overton JD, Habegger L, Leader JB, Fetterolf SN, O'Dushlaine C, Van Hout CV, Staples J, Gonzaga-Jauregui C, Metpally R, Pendergrass SA, Giovanni MA, Kirchner HL, Balasubramanian S, et al. Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study. Science (New York, N.Y.). 354. PMID 28008009 DOI: 10.1126/Science.Aaf6814 |
0.693 |
|
| 2016 |
Jones GT, Tromp G, Kuivaniemi H, Gretarsdottir S, Baas AF, Giusti B, Strauss E, van 't Hof FN, Webb T, Erdman R, Ritchie MD, Elmore JR, Verma A, Pendergrass S, Kullo IJ, et al. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. Circulation Research. PMID 27899403 DOI: 10.1161/Circresaha.116.308765 |
0.793 |
|
| 2016 |
Verma SS, Lucas AM, Lavage DR, Leader JB, Metpally R, Krishnamurthy S, Dewey F, Borecki I, Lopez A, Overton J, Penn J, Reid J, Pendergrass SA, Breitwieser G, Ritchie MD. IDENTIFYING GENETIC ASSOCIATIONS WITH VARIABILITY IN METABOLIC HEALTH AND BLOOD COUNT LABORATORY VALUES: DIVING INTO THE QUANTITATIVE TRAITS BY LEVERAGING LONGITUDINAL DATA FROM AN EHR. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 533-544. PMID 27897004 |
0.784 |
|
| 2016 |
Bauer CR, Lavage D, Snyder J, Leader J, Mahoney JM, Pendergrass SA. OPENING THE DOOR TO THE LARGE SCALE USE OF CLINICAL LAB MEASURES FOR ASSOCIATION TESTING: EXPLORING DIFFERENT METHODS FOR DEFINING PHENOTYPES. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 356-367. PMID 27896989 |
0.672 |
|
| 2016 |
Basile AO, Verma A, Byrska-Bishop M, Pendergrass SA, Darabos C, Lester Kirchner H. PATTERNS IN BIOMEDICAL DATA-HOW DO WE FIND THEM? Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 177-183. PMID 27896973 |
0.771 |
|
| 2016 |
Verma A, Verma SS, Pendergrass SA, Crawford DC, Crosslin DR, Kuivaniemi H, Bush WS, Bradford Y, Kullo I, Bielinski SJ, Li R, Denny JC, Peissig P, Hebbring S, De Andrade M, et al. eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. Bmc Medical Genomics. 9: 32. PMID 27535653 DOI: 10.1186/S12920-016-0191-8 |
0.828 |
|
| 2016 |
Verma A, Basile AO, Bradford Y, Kuivaniemi H, Tromp G, Carey D, Gerhard GS, Crowe JE, Ritchie MD, Pendergrass SA. Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases. Plos One. 11: e0160573. PMID 27508393 DOI: 10.1371/Journal.Pone.0160573 |
0.835 |
|
| 2016 |
Oetjens MT, Bush WS, Denny JC, Birdwell K, Kodaman N, Verma A, Dilks HH, Pendergrass SA, Ritchie MD, Crawford DC. Evidence for extensive pleiotropy among pharmacogenes. Pharmacogenomics. 0. PMID 27249515 DOI: 10.2217/Pgs-2015-0007 |
0.759 |
|
| 2016 |
Butkiewicz M, Cooke Bailey JN, Frase A, Dudek S, Yaspan BL, Ritchie MD, Pendergrass SA, Haines JL. Pathway analysis by randomization incorporating structure-PARIS: an update. Bioinformatics (Oxford, England). PMID 27153576 DOI: 10.1093/Bioinformatics/Btw130 |
0.654 |
|
| 2016 |
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, ... ... Pendergrass SA, et al. INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 168-79. PMID 26776183 |
0.833 |
|
| 2016 |
Verma SS, Frase AT, Verma A, Pendergrass SA, Mahony S, Haas DW, Ritchie MD. PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG). Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 57-68. PMID 26776173 |
0.84 |
|
| 2015 |
Leader JB, Pendergrass SA, Verma A, Carey DJ, Hartzel DN, Ritchie MD, Kirchner HL. Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2015: 824-32. PMID 26958218 |
0.758 |
|
| 2015 |
Dumitrescu L, Restrepo NA, Goodloe R, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC. Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. Biodata Mining. 8: 35. PMID 26566401 DOI: 10.1186/S13040-015-0068-Y |
0.769 |
|
| 2015 |
Tyler AL, Crawford DC, Pendergrass SA. The detection and characterization of pleiotropy: discovery, progress, and promise. Briefings in Bioinformatics. PMID 26223525 DOI: 10.1093/Bib/Bbv050 |
0.745 |
|
| 2015 |
Crawford DC, Goodloe R, Farber-Eger E, Boston J, Pendergrass SA, Haines JL, Ritchie MD, Bush WS. Leveraging Epidemiologic and Clinical Collections for Genomic Studies of Complex Traits. Human Heredity. 79: 137-46. PMID 26201699 DOI: 10.1159/000381805 |
0.735 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD. Phenome-Wide Association Studies: Embracing Complexity for Discovery. Human Heredity. 79: 111-23. PMID 26201697 DOI: 10.1159/000381851 |
0.838 |
|
| 2015 |
Pendergrass SA, Ritchie MD. Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery. Current Genetic Medicine Reports. 3: 92-100. PMID 26146598 DOI: 10.1007/S40142-015-0067-9 |
0.743 |
|
| 2015 |
Hall MA, Verma SS, Wallace J, Lucas A, Berg RL, Connolly J, Crawford DC, Crosslin DR, de Andrade M, Doheny KF, Haines JL, Harley JB, Jarvik GP, Kitchner T, Kuivaniemi H, ... ... Pendergrass SA, et al. Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network. Genetic Epidemiology. 39: 376-84. PMID 25982363 DOI: 10.1002/Gepi.21902 |
0.821 |
|
| 2015 |
Moore CB, Verma A, Pendergrass S, Verma SS, Johnson DH, Daar ES, Gulick RM, Haubrich R, Robbins GK, Ritchie MD, Haas DW. Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols. Open Forum Infectious Diseases. 2: ofu113. PMID 25884002 DOI: 10.1093/Ofid/Ofu113 |
0.818 |
|
| 2015 |
Pendergrass SA, Verma SS, Hall MA, Holzinger ER, Moore CB, Wallace JR, Dudek SM, Huggins W, Kitchner T, Waudby C, Berg R, Mccarty CA, Ritchie MD. Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 495-505. PMID 25741542 |
0.82 |
|
| 2015 |
Ritchie MD, Holzinger ER, Li R, Pendergrass SA, Kim D. Methods of integrating data to uncover genotype-phenotype interactions. Nature Reviews. Genetics. 16: 85-97. PMID 25582081 DOI: 10.1038/nrg3868 |
0.829 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD, Génin E, Devoto M, Li H, Jeng J, Wu Q, Ziegler A, Mwambi H, König IR, Pineda S, et al. Contents Vol. 79, 2015 Human Heredity. 79. DOI: 10.1159/000382044 |
0.716 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD. Phenome-Wide Association Studies: Embracing Complexity for Discovery Human Heredity. 79: 111-123. DOI: 10.1159/000381851 |
0.772 |
|
| 2014 |
Chhibber A, Kroetz DL, Tantisira KG, McGeachie M, Cheng C, Plenge R, Stahl E, Sadee W, Ritchie MD, Pendergrass SA. Genomic architecture of pharmacological efficacy and adverse events. Pharmacogenomics. 15: 2025-48. PMID 25521360 DOI: 10.2217/Pgs.14.144 |
0.689 |
|
| 2014 |
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, ... ... Pendergrass SA, et al. 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. Plos Genetics. 10: e1004678. PMID 25474351 DOI: 10.1371/Journal.Pgen.1004678 |
0.831 |
|
| 2014 |
Barrie ES, Weinshenker D, Verma A, Pendergrass SA, Lange LA, Ritchie MD, Wilson JG, Kuivaniemi H, Tromp G, Carey DJ, Gerhard GS, Brilliant MH, Hebbring SJ, Cubells JF, Pinsonneault JK, et al. Regulatory polymorphisms in human DBH affect peripheral gene expression and sympathetic activity. Circulation Research. 115: 1017-25. PMID 25326128 DOI: 10.1161/Circresaha.116.304398 |
0.706 |
|
| 2014 |
Kim D, Li R, Dudek SM, Frase AT, Pendergrass SA, Ritchie MD. Knowledge-driven genomic interactions: an application in ovarian cancer. Biodata Mining. 7: 20. PMID 25214892 DOI: 10.1186/1756-0381-7-20 |
0.786 |
|
| 2014 |
Cronin RM, Field JR, Bradford Y, Shaffer CM, Carroll RJ, Mosley JD, Bastarache L, Edwards TL, Hebbring SJ, Lin S, Hindorff LA, Crane PK, Pendergrass SA, Ritchie MD, Crawford DC, et al. Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index. Frontiers in Genetics. 5: 250. PMID 25177340 DOI: 10.3389/Fgene.2014.00250 |
0.754 |
|
| 2014 |
Tyler AL, Crawford DC, Pendergrass SA. Detecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple phenotypes. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 183-187. PMID 25072629 DOI: 10.1142/9789814583220_0018 |
0.686 |
|
| 2014 |
Ciesielski TH, Pendergrass SA, White MJ, Kodaman N, Sobota RS, Huang M, Bartlett J, Li J, Pan Q, Gui J, Selleck SB, Amos CI, Ritchie MD, Moore JH, Williams SM. Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. Biodata Mining. 7: 10. PMID 25071867 DOI: 10.1186/1756-0381-7-10 |
0.825 |
|
| 2014 |
Kraja AT, Chasman DI, North KE, Reiner AP, Yanek LR, Kilpeläinen TO, Smith JA, Dehghan A, Dupuis J, Johnson AD, Feitosa MF, Tekola-Ayele F, Chu AY, Nolte IM, Dastani Z, ... ... Pendergrass SA, et al. Pleiotropic genes for metabolic syndrome and inflammation. Molecular Genetics and Metabolism. 112: 317-38. PMID 24981077 DOI: 10.1016/J.Ymgme.2014.04.007 |
0.689 |
|
| 2014 |
Mitchell SL, Hall JB, Goodloe RJ, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC. Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies. Biodata Mining. 7: 6. PMID 24731735 DOI: 10.1186/1756-0381-7-6 |
0.643 |
|
| 2014 |
Kocarnik JM, Pendergrass SA, Carty CL, Pankow JS, Schumacher FR, Cheng I, Durda P, Ambite JL, Deelman E, Cook NR, Liu S, Wactawski-Wende J, Hutter C, Brown-Gentry K, Wilson S, et al. Multiancestral analysis of inflammation-related genetic variants and C-reactive protein in the population architecture using genomics and epidemiology study. Circulation. Cardiovascular Genetics. 7: 178-88. PMID 24622110 DOI: 10.1161/Circgenetics.113.000173 |
0.47 |
|
| 2014 |
Chhibber A, Mefford J, Stahl EA, Pendergrass SA, Baldwin RM, Owzar K, Li M, Winer EP, Hudis CA, Zembutsu H, Kubo M, Nakamura Y, McLeod HL, Ratain MJ, Shulman LN, et al. Polygenic inheritance of paclitaxel-induced sensory peripheral neuropathy driven by axon outgrowth gene sets in CALGB 40101 (Alliance). The Pharmacogenomics Journal. 14: 336-42. PMID 24513692 DOI: 10.1038/Tpj.2014.2 |
0.585 |
|
| 2014 |
Mitchell SL, Goodloe R, Brown-Gentry K, Pendergrass SA, Murdock DG, Crawford DC. Characterization of mitochondrial haplogroups in a large population-based sample from the United States. Human Genetics. 133: 861-8. PMID 24488180 DOI: 10.1007/S00439-014-1421-9 |
0.339 |
|
| 2014 |
Hall MA, Dudek SM, Goodloe R, Crawford DC, Pendergrass SA, Peissig P, Brilliant M, McCarty CA, Ritchie MD. Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project Biobank. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 200-11. PMID 24297547 |
0.799 |
|
| 2014 |
Holzinger ER, Dudek SM, Frase AT, Pendergrass SA, Ritchie MD. ATHENA: the analysis tool for heritable and environmental network associations. Bioinformatics (Oxford, England). 30: 698-705. PMID 24149050 DOI: 10.1093/Bioinformatics/Btt572 |
0.829 |
|
| 2013 |
Moore CB, Wallace JR, Wolfe DJ, Frase AT, Pendergrass SA, Weiss KM, Ritchie MD. Low frequency variants, collapsed based on biological knowledge, uncover complexity of population stratification in 1000 genomes project data. Plos Genetics. 9: e1003959. PMID 24385916 DOI: 10.1371/Journal.Pgen.1003959 |
0.75 |
|
| 2013 |
Pendergrass SA, Frase A, Wallace J, Wolfe D, Katiyar N, Moore C, Ritchie MD. Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. Biodata Mining. 6: 25. PMID 24378202 DOI: 10.1186/1756-0381-6-25 |
0.776 |
|
| 2013 |
Denny JC, Bastarache L, Ritchie MD, Carroll RJ, Zink R, Mosley JD, Field JR, Pulley JM, Ramirez AH, Bowton E, Basford MA, Carrell DS, Peissig PL, Kho AN, Pacheco JA, ... ... Pendergrass SA, et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotechnology. 31: 1102-10. PMID 24270849 DOI: 10.1038/Nbt.2749 |
0.741 |
|
| 2013 |
Wolfe D, Dudek S, Ritchie MD, Pendergrass SA. Visualizing genomic information across chromosomes with PhenoGram. Biodata Mining. 6: 18. PMID 24131735 DOI: 10.1186/1756-0381-6-18 |
0.639 |
|
| 2013 |
Fesinmeyer MD, Meigs JB, North KE, Schumacher FR, Bůžková P, Franceschini N, Haessler J, Goodloe R, Spencer KL, Voruganti VS, Howard BV, Jackson R, Kolonel LN, Liu S, Manson JE, ... ... Pendergrass SA, et al. Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study. Bmc Medical Genetics. 14: 98. PMID 24063630 DOI: 10.1186/1471-2350-14-98 |
0.378 |
|
| 2013 |
Park SL, Cheng I, Pendergrass SA, Kucharska-Newton AM, Lim U, Ambite JL, Caberto CP, Monroe KR, Schumacher F, Hindorff LA, Oetjens MT, Wilson S, Goodloe RJ, Love SA, Henderson BE, et al. Association of the FTO obesity risk variant rs8050136 with percentage of energy intake from fat in multiple racial/ethnic populations: the PAGE study. American Journal of Epidemiology. 178: 780-90. PMID 23820787 DOI: 10.1093/Aje/Kwt028 |
0.644 |
|
| 2013 |
Moore CB, Wallace JR, Frase AT, Pendergrass SA, Ritchie MD. BioBin: a bioinformatics tool for automating the binning of rare variants using publicly available biological knowledge. Bmc Medical Genomics. 6: S6. PMID 23819467 DOI: 10.1186/1755-8794-6-S2-S6 |
0.772 |
|
| 2013 |
McGeachie MJ, Stahl EA, Himes BE, Pendergrass SA, Lima JJ, Irvin CG, Peters SP, Ritchie MD, Plenge RM, Tantisira KG. Polygenic heritability estimates in pharmacogenetics: focus on asthma and related phenotypes. Pharmacogenetics and Genomics. 23: 324-8. PMID 23532052 DOI: 10.1097/Fpc.0B013E3283607Acf |
0.656 |
|
| 2013 |
Bush WS, Boston J, Pendergrass SA, Dumitrescu L, Goodloe R, Brown-Gentry K, Wilson S, McClellan B, Torstenson E, Basford MA, Spencer KL, Ritchie MD, Crawford DC. Enabling high-throughput genotype-phenotype associations in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 373-84. PMID 23424142 |
0.84 |
|
| 2013 |
Moore CB, Wallace JR, Frase AT, Pendergrass SA, Ritchie MD. Using BioBin to explore rare variant population stratification. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 332-43. PMID 23424138 |
0.748 |
|
| 2013 |
Pendergrass SA, Verma SS, Holzinger ER, Moore CB, Wallace J, Dudek SM, Huggins W, Kitchner T, Waudby C, Berg R, McCarty CA, Ritchie MD. Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using Biofilter, and gene-environment interactions using the PhenX Toolkit. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 147-58. PMID 23424120 |
0.831 |
|
| 2013 |
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, et al. Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network. Plos Genetics. 9: e1003087. PMID 23382687 DOI: 10.1371/Journal.Pgen.1003087 |
0.732 |
|
| 2012 |
Pendergrass SA, Dudek SM, Crawford DC, Ritchie MD. Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. Biodata Mining. 5: 5. PMID 22682510 DOI: 10.1186/1756-0381-5-5 |
0.708 |
|
| 2012 |
Haiman CA, Fesinmeyer MD, Spencer KL, Buzková P, Voruganti VS, Wan P, Haessler J, Franceschini N, Monroe KR, Howard BV, Jackson RD, Florez JC, Kolonel LN, Buyske S, Goodloe RJ, ... ... Pendergrass SA, et al. Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium. Diabetes. 61: 1642-7. PMID 22474029 DOI: 10.2337/Db11-1296 |
0.399 |
|
| 2012 |
Pendergrass SA, Lemaire R, Francis IP, Mahoney JM, Lafyatis R, Whitfield ML. Intrinsic gene expression subsets of diffuse cutaneous systemic sclerosis are stable in serial skin biopsies. The Journal of Investigative Dermatology. 132: 1363-73. PMID 22318389 DOI: 10.1038/Jid.2011.472 |
0.305 |
|
| 2011 |
Avery CL, He Q, North KE, Ambite JL, Boerwinkle E, Fornage M, Hindorff LA, Kooperberg C, Meigs JB, Pankow JS, Pendergrass SA, Psaty BM, Ritchie MD, Rotter JI, Taylor KD, et al. A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. Plos Genetics. 7: e1002322. PMID 22022282 DOI: 10.1371/Journal.Pgen.1002322 |
0.682 |
|
| 2011 |
Dumitrescu L, Carty CL, Taylor K, Schumacher FR, Hindorff LA, Ambite JL, Anderson G, Best LG, Brown-Gentry K, B?žková P, Carlson CS, Cochran B, Cole SA, Devereux RB, Duggan D, ... ... Pendergrass SA, et al. Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study. Plos Genetics. 7: e1002138. PMID 21738485 DOI: 10.1371/Journal.Pgen.1002138 |
0.7 |
|
| 2011 |
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, et al. The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery. Genetic Epidemiology. 35: 410-22. PMID 21594894 DOI: 10.1002/Gepi.20589 |
0.729 |
|
| 2011 |
Pendergrass S, Dudek SM, Roden DM, Crawford DC, Ritchie MD. Visual integration of results from a large DNA biobank (BioVU) using synthesis-view. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 265-75. PMID 21121054 |
0.628 |
|
| 2010 |
Pendergrass SA, Dudek SM, Crawford DC, Ritchie MD. Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. Biodata Mining. 3: 10. PMID 21162740 DOI: 10.1186/1756-0381-3-10 |
0.708 |
|
| 2009 |
Chandriani S, Frengen E, Cowling VH, Pendergrass SA, Perou CM, Whitfield ML, Cole MD. A core MYC gene expression signature is prominent in basal-like breast cancer but only partially overlaps the core serum response. Plos One. 4: e6693. PMID 19690609 DOI: 10.1371/Journal.Pone.0006693 |
0.3 |
|
| 2008 |
Milano A, Pendergrass SA, Sargent JL, George LK, McCalmont TH, Connolly MK, Whitfield ML. Molecular subsets in the gene expression signatures of scleroderma skin. Plos One. 3: e2696. PMID 18648520 DOI: 10.1371/Journal.Pone.0002696 |
0.309 |
|
| 2007 |
Pendergrass SA, Whitfield ML, Gardner H. Understanding systemic sclerosis through gene expression profiling. Current Opinion in Rheumatology. 19: 561-7. PMID 17917536 DOI: 10.1097/Bor.0B013E3282F00375 |
0.352 |
|
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