M
Matthew Patrick
Researcher at University of Michigan
Publications - 68
Citations - 1307
Matthew Patrick is an academic researcher from University of Michigan. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 14, co-authored 47 publications receiving 661 citations. Previous affiliations of Matthew Patrick include University of Cambridge & University of York.
Papers
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Journal ArticleDOI
Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
TL;DR: Pat et al. as discussed by the authors constructed a consensus mapping between ICD-10 codes and ORPHA codes for rare diseases, then identified individuals with each rare condition in the UK Biobank, and investigated their age at recruitment, sex bias, and comorbidity distributions.
Journal ArticleDOI
Genome-Wide Association Study in Acute Tubulointerstitial Nephritis
Xu-jie Zhou,Tao Su,Jingyuan Xie,Qionghong Xie,Lizhong Wang,Yong Hu,Gang Chen,Yan Jia,Jun-Wen Huang,Gui-sen Li,Yang Liu,Xiaojun Yu,Swapan K. Nath,Lam C. Tsoi,Matthew Patrick,Celine C. Berthier,Gang Liu,Suxia Wang,Huji Xu,Nan Chen,Chuan-Ming Hao,Long Zhang,Li Yang +22 more
TL;DR: In this paper , the authors conducted a two-stage association study and meta-analysis with 544 kidney biopsy-defined patients with acute tubulointerstitial nephritis (ATIN) and 2346 controls of Chinese ancestry.
Journal ArticleDOI
Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
TL;DR: Pat et al. as discussed by the authors constructed a consensus mapping between ICD-10 codes and ORPHA codes for rare diseases, then identified individuals with each rare condition in the UK Biobank, and investigated their age at recruitment, sex bias, and comorbidity distributions.
Book ChapterDOI
Efficient Subdomains for Random Testing
TL;DR: A search-based testing technique that evolves multiple sets of efficient subdomains from which small but effective test suites can be randomly sampled and achieves an average 230% improvement in mutation score over conventional random testing.
Journal ArticleDOI
456 Independent causal effect of psoriasis on multiple sclerosis identified by Mendelian randomization
Matthew Patrick,Rajan P. Nair,Kang He,Philip E. Stuart,Allison C. Billi,J. E. Gudjonsson,Oksenberg,James T. Elder,L. Tsoi +8 more
TL;DR: In this paper , the authors conducted Mendelian randomization (MR) analysis with six different techniques, using existing GWAS for psoriasis (11,024 cases and 16,336 controls) and MS (14,802 cases and 26,703 controls); they also addressed 10 potential confounding exposures, previously suggested to be associated with both diseases, by including GWAS data from body mass index, coronary artery disease, inflammatory bowel disease, type 1 diabetes (T1D), type 2 diabetes, asthma, rheumatoid arthritis, drinks per week, cigarettes per day, and vitamin D levels.