Scott J. Hebbring

Laboratory of Genetics, Mayo Clinic and Foundation, Rochester, MN

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

None

Papers42 papers

Sort

By YearBy Citation

Pleiotropy in the Genetic Predisposition to Rheumatoid Arthritis - a phenome-wide association study and inverse-variance weighted meta-analysis.

Vivian K Kawai, Mingjian Shi, Qiping Feng,Cecilia P Chung, Ge Liu,Nancy J Cox,Gail P Jarvik, Ming T M Lee,Scott J Hebbring,John B Harley, Kenneth M Kaufman,Bahram Namjou

Arthritis & rheumatology (Hoboken, N.J.), (2020)

WOSBibtex

A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies.

Yoonjung Yoonie Joo, Ky'Era Actkins,Jennifer A Pacheco, Anna O Basile,Robert Carroll,David R Crosslin,Felix Day,Joshua C Denny,Digna R Velez Edwards,Hakon Hakonarson,John B Harley,Scott J Hebbring

The Journal of clinical endocrinology and metabolism, (2020)

WOSBibtex

Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization.

Jamie R Robinson,Robert J Carroll,Lisa Bastarache, Qingxia Chen, Zongyang Mou,Wei-Qi Wei,John J Connolly,Frank Mentch,Patrick Sleiman,Paul K Crane,Scott J Hebbring,Ian B Stanaway

World journal of surgery, pp.1-11, (2019)

WOSBibtex

Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations

Kathryn E Hatchell,Qiongshi Lu,Scott J Hebbring,Erin D Michos, Alexis C Wood,Corinne D Engelman

bioRxiv, pp.596619, (2019)

WOSBibtex

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

Xinyuan Zhang, Yogasudha Veturi,Shefali Setia Verma, William Bone,Anurag Verma,Anastasia Lucas,Scott J. Hebbring,Joshua C. Denny,Ian Stanaway,Gail P. Jarvik,David R. Crosslin,Eric B. Larson

PSB, pp.272-283, (2019)

EIWOSBibtex

Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research.

Xiayuan Huang,Robert C. Elston,John Mayer,Zhan Ye,Yuqi He,David Page,Scott J. Hebbring

AMIA, (2018)

EIBibtex

Applying family analyses to electronic health records to facilitate genetic research.

Xiayuan Huang,Robert C. Elston,Guilherme J. Rosa,John Mayer,Zhan Ye,Terrie Kitchner,Murray H. Brilliant,David Page,Scott J. Hebbring

Bioinformatics, no. 4 (2018): 635-642

Cited by4EIWOSBibtex

Genomic and Phenomic Research in the 21st Century

Scott J. Hebbring

Trends in Genetics, (2018)

Bibtex

Variation in Cilia Protein Genes and Progression of Lung Disease in Cystic Fibrosis.

Elizabeth Blue,Tin L Louie,Jessica X Chong,Scott J Hebbring,Kathleen C Barnes,Nicholas M Rafaels,Michael R Knowles,Ronald L Gibson,Michael J Bamshad,Mary J Emond

Annals of the American Thoracic Society, (2018)

Cited by2WOSBibtex

Phenotype risk scores identify patients with unrecognized Mendelian disease patterns.

Lisa Bastarache, Jacob J Hughey,Scott Hebbring, Joy Marlo, Wanke Zhao, Wanting T Ho,Sara L Van Driest, Tracy L McGregor, Jonathan D Mosley,Quinn S Wells, Michael Temple,Andrea H Ramirez

Science (New York, N.Y.), no. 6381 (2018): 1233-1239

Cited by15WOSBibtex

RNA-Binding Protein IGF2BP1 in Cutaneous Squamous Cell Carcinoma.

TaeWon Kim,Thomas Havighurst,KyungMann Kim,Scott J Hebbring,Zhan Ye, Juliet Aylward,Sunduz Keles,Yaohui G Xu,Vladimir S Spiegelman

The Journal of investigative dermatology, no. 3 (2017): 772-775

Cited by5WOSBibtex

Pilot screening study of targeted genetic polymorphisms for association with seasonal influenza hospital admission.

Tonia C Carter,Scott J Hebbring, Jixia Liu,Jonathan D Mosley,Christian M Shaffer,Lynn C Ivacic,Sarah Kopitzke,Elisha L Stefanski, Rob Strenn,Maria E Sundaram,Jennifer Meece,Murray H Brilliant

Journal of medical virology, (2017)

Cited by2WOSBibtex

SCANNING THE PHENOME TO UNCOVER PLEIOTROPIC EFFECTS OF PCSK9

Maya S. Safarova,Erin Austin,Mariza de Andrade, Lisa Bastarache, Zhan Ye, Neil Zheng,Daniel J. Schaid, Marc S. Williams, Marylyn Ritchie, Kenneth Borthwick,Eric W. Larson, Aaron Scrol

Journal of the American College of Cardiology, no. 11 (2017): 2561

Bibtex

Relationship of SULT1A1 Copy Number Variation with Estrogen Metabolism and Human Health.

Jixia Liu, Ran Zhao,Zhan Ye, Alexander J Frey,Emily R Schriver,Nathaniel W Snyder,Scott J Hebbring

The Journal of steroid biochemistry and molecular biology, (2017)

Cited by1WOSBibtex

Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants.

Jason H Karnes,Lisa Bastarache,Christian M Shaffer,Silvana Gaudieri,Yaomin Xu, Andrew M Glazer,Jonathan D Mosley, Shilin Zhao,Soumya Raychaudhuri,Simon Mallal,Zhan Ye, John G Mayer

Science translational medicine, no. 389 (2017)

Cited by18WOSBibtex

Phenome-wide association study maps new diseases to the human major histocompatibility complex region.

Jixia Liu,Zhan Ye, John G Mayer, Brian A Hoch, Clayton Green,Loren Rolak,Christopher Cold,Seik-Soon Khor,Xiuwen Zheng,Taku Miyagawa,Katsushi Tokunaga,Murray H Brilliant

Journal of medical genetics, no. 10 (2016): 681-9

WOSBibtex

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

Anurag Verma,Anurag Verma,Shefali S. Verma,Shefali S. Verma,Sarah A. Pendergrass,Dana C. Crawford,David R. Crosslin,Helena Kuivaniemi,William S. Bush,Yuki Bradford,Iftikhar J. Kullo,Suzette J. Bielinski

BMC Medical Genomics, no. 1 (2016): 32

Bibtex

The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem.

Mehdi Maadooliat,Naveen K Bansal, Jiblal Upadhya, Manzur R Farazi, Xiang Li,Max M He,Scott J Hebbring,Zhan Ye,Steven J Schrodi

Frontiers in genetics, (2016): 217

WOSBibtex

The phenotypic legacy of admixture between modern humans and Neandertals

Corinne N. Simonti,Benjamin Vernot,Erwin P. Bottinger,David Carrell,Rex L. Chisholm,David R. Crosslin,Scott J. Hebbring,Gail P. Jarvik,Iftikhar J. Kullo,Rongling Li,Jyotishman Pathak,Marylyn D. Ritchie

Science, no. 6274 (2016): 737-741

Bibtex

A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.

Lars G Fritsche,Wilmar Igl, J N Bailey,Felix Grassmann,Sinjini Sengupta,Jennifer L Bragggresham,Kathryn P Burdon,Scott J Hebbring, Cheng Wen, M Gorski,Ivana K Kim,D Cho

Nature Genetics, (2015)

Cited by557Bibtex

View All

Base Info Papers Patents Projects