Tyler M. Seibert
University of California, San Diego
CancerPercentileInternal medicineGenotypePathologyMagnetic resonance imagingOncologyHippocampal formationDiffusion MRISingle-nucleotide polymorphismPsychologyNeuroscienceHazard ratioProstateBrain tumorProstate cancerAtrophyWhite matterNuclear medicineProportional hazards modelRadiation therapyMedicine
87Publications
18H-index
1,126Citations
Publications 85
Newest
#1Lasse Pihlstrøm (Oslo University Hospital)H-Index: 22
#2Chun Chieh Fan (UCSD: University of California, San Diego)H-Index: 26
Last. Donald G. Grosset (Glas.: University of Glasgow)H-Index: 56
view all 12 authors...
Background null Parkinson's disease (PD) is a highly age-related disorder, where common genetic risk variants affect both disease risk and age at onset. A statistical approach that integrates these effects across all common variants may be clinically useful for individual risk stratification. A polygenic hazard score methodology, leveraging a time-to-event framework, has recently been successfully applied in other age-related disorders. null Objectives null We aimed to develop and validate a pol...
Source
#1Alexey A. Shadrin (Oslo University Hospital)H-Index: 12
#2Tobias Kaufmann (Oslo University Hospital)H-Index: 35
Last. Olav B. Smeland (Oslo University Hospital)H-Index: 22
view all 22 authors...
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability is explained by the genetic variants discovered so far. Here we extended the Multivariate Omnibus Statistical Test (MOSTest) and applied it to genome-wide association studies (GWAS) of vertex-wise structural magnetic resonance imaging (MRI) cortical measures from N=35,657 participants in the UK Biobank. We identified 695 loci for cortical surface area and 539 for cortical thickness, in total 780 ...
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#1Minh-Phuong Huynh-Le (UCSD: University of California, San Diego)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Artitaya Lophatananon (University of Manchester)H-Index: 31
view all 78 authors...
Abstract null Introduction null Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. null Methods null In total, 299 SNPs previously as...
1 CitationsSource
#47Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
#48Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were obtained from PR...
2 CitationsSource
#1Zhong Ay (UCSD: University of California, San Diego)
#2Leonardino A. Digma (UCSD: University of California, San Diego)H-Index: 2
Last. Tyler M. SeibertH-Index: 18
view all 16 authors...
PurposeMultiparametric MRI (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the qualitative PI-RADS system and quantitative apparent diffusion coefficient (ADC) yield inconsistent results. An advanced Restrictrion Spectrum Imaging (RSI) model may yield a better quantitative marker for csPCa, the RSI restriction score (RSIrs). We evaluated RSIrs for patient-level detection of csPCa. Materials and MethodsRetrospective analysis of men who underwent mpMRI with RSI an...
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#8Edward Cohen (UCSD: University of California, San Diego)H-Index: 3
#9Paul Dato (UCSD: University of California, San Diego)H-Index: 3
Last. Daniel W. Lin (UCSD: University of California, San Diego)
view all 17 authors...
Source
#1Christine H. Feng (UCSD: University of California, San Diego)H-Index: 5
#2Christopher C. Conlin (UCSD: University of California, San Diego)H-Index: 3
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 11 authors...
BACKGROUND Diffusion magnetic resonance imaging (MRI) is integral to detection of prostate cancer (PCa), but conventional apparent diffusion coefficient (ADC) cannot capture the complexity of prostate tissues and tends to yield noisy images that do not distinctly highlight cancer. A four-compartment restriction spectrum imaging (RSI4 ) model was recently found to optimally characterize pelvic diffusion signals, and the model coefficient for the slowest diffusion compartment, RSI4 -C1 , yielded g...
1 CitationsSource
#1Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 13 authors...
BACKGROUND Clinical variables-age, family history, genetics-are used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as associated with age at prostate cancer diagnosis. While polygenic scores are associated with all prostate cancer (not specific for fatal cancers), PHS46 was also associated with age at prostate cancer death. We evaluated if adding PHS to clinical variables improves associations with prostate cancer death. METHODS Genotyp...
3 CitationsSource
#1Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 13 authors...
65Background: Clinical variables (age, family history, and genetics) are commonly used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as a...
Source
#1Minh-Phuong Huynh-Le (UCSD: University of California, San Diego)H-Index: 10
#2Chun Chieh Fan (UCSD: University of California, San Diego)H-Index: 26
view all 81 authors...
Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ...
11 CitationsSource