Polygenic risk modeling with latent trait-related genetic components
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Trevor Hastie | Robert Tibshirani | Yosuke Tanigawa | Manuel A. Rivas | Matthew Aguirre | Guhan R. Venkataraman | R. Tibshirani | T. Hastie | M. Rivas | Yosuke Tanigawa | Matthew Aguirre | G. Venkataraman
[1] Trevor Hastie,et al. A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank , 2019, bioRxiv.
[2] William A. Richardson,et al. SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout , 2008, Nature Genetics.
[3] M. Rivas,et al. Phenome-wide Burden of Copy Number Variation in the UK Biobank. , 2019, American journal of human genetics.
[4] M. Rivas,et al. Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study , 2018, Nature Communications.
[5] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[6] W. Willett,et al. Alcohol intake and risk of incident gout in men: a prospective study , 2004, The Lancet.
[7] Alkes L. Price,et al. Multi-ethnic polygenic risk scores improve risk prediction in diverse populations , 2016, bioRxiv.
[8] M. McCarthy,et al. Painting a new picture of personalised medicine for diabetes , 2017, Diabetologia.
[9] M. Paquette,et al. SLC22A3 is associated with lipoprotein (a) concentration and cardiovascular disease in familial hypercholesterolemia. , 2019, Clinical biochemistry.
[10] Kathryn S. Burch,et al. Leveraging polygenic functional enrichment to improve GWAS power , 2017, bioRxiv.
[11] M. Preece,et al. Silver-Russell syndrome and ring chromosome 7 , 2000, Journal of medical genetics.
[12] Hyon K. Choi,et al. Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study. , 2005, Archives of internal medicine.
[13] Yurii S. Aulchenko,et al. Multiple loci associated with indices of renal function and chronic kidney disease , 2009, Nature Genetics.
[14] A. Skol,et al. Genome-wide associations reveal human-mouse genetic convergence and modifiers of myogenesis, CPNE1 and STC2 , 2018, bioRxiv.
[15] M. Perola,et al. Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics , 2019, bioRxiv.
[16] E. H. Goulding,et al. Brain-derived neurotrophic factor regulates energy balance downstream of melanocortin-4 receptor , 2003, Nature Neuroscience.
[17] David M. Evans,et al. Edinburgh Research Explorer Genome-wide association analysis identifies 20 loci that influence adult height , 2022 .
[18] Christopher M. DeBoever,et al. Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics , 2018, bioRxiv.
[19] Independent effects of ADH1B and ALDH2 common dysfunctional variants on gout risk , 2017, Scientific Reports.
[20] Peng Chen,et al. A generic approach towards afterglow luminescent nanoparticles for ultrasensitive in vivo imaging , 2019, Nature Communications.
[21] E. Zabarovsky,et al. Cloning of two candidate tumor suppressor genes within a 10 kb region on chromosome 13q14, frequently deleted in chronic lymphocytic leukemia , 1997, Oncogene.
[22] M. Jarvelin,et al. A Common Variant in the FTO Gene Is Associated with Body Mass Index and Predisposes to Childhood and Adult Obesity , 2007, Science.
[23] Harlan M. Krumholz,et al. Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction , 2019, Circulation.
[24] Trevor Hastie,et al. A Fast and Flexible Algorithm for Solving the Lasso in Large-scale and Ultrahigh-dimensional Problems , 2019 .
[25] Stephanie E. Moser,et al. Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative , 2017, bioRxiv.
[26] Tamara S. Roman,et al. New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.
[27] K. D. Sørensen,et al. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci , 2018, Nature Genetics.
[28] L. P. Van den Heuvel,et al. Hyperuricemia influences tryptophan metabolism via inhibition of multidrug resistance protein 4 (MRP4) and breast cancer resistance protein (BCRP). , 2013, Biochimica et biophysica acta.
[29] N. Hamasaki,et al. Variants of STAT6 (signal transducer and activator of transcription 6) in atopic asthma , 2000, Journal of medical genetics.
[30] Matthew S. Lebo,et al. Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood , 2019, Cell.
[31] Trevor Hastie,et al. Genetics of 35 blood and urine biomarkers in the UK Biobank , 2020, Nature Genetics.
[32] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[33] Tjerk P. Straatsma,et al. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations , 2010, Comput. Phys. Commun..
[34] V. M. V. Program. A catalog of genetic loci associated with kidney function from analyses of a million individuals , 2019 .
[35] E. Hardeman,et al. The murine stanniocalcin 2 gene is a negative regulator of postnatal growth. , 2008, Endocrinology.
[36] W. Ryu,et al. Serum Uric Acid Levels and Cerebral Microbleeds in Patients with Acute Ischemic Stroke , 2013, PloS one.
[37] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[38] Y. Tao. Molecular mechanisms of the neural melanocortin receptor dysfunction in severe early onset obesity , 2005, Molecular and Cellular Endocrinology.
[39] Hyon K. Choi,et al. Epidemiology of gout in women: Fifty-two-year followup of a prospective cohort. , 2010, Arthritis and rheumatism.
[40] Andres Metspalu,et al. Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores , 2016, Genetics in Medicine.
[41] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[42] B. Nordestgaard,et al. Alcoholism and alcohol drinking habits predicted from alcohol dehydrogenase genes , 2006, The Pharmacogenomics Journal.
[43] R. Dripps. Lung function. , 1949, The American journal of roentgenology and radium therapy.
[44] Christopher M. DeBoever,et al. Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight novel adipocyte biology , 2018, bioRxiv.
[45] Donal N. Gorman,et al. GWAS of self-reported mosquito bite size, itch intensity and attractiveness to mosquitoes implicates immune-related predisposition loci , 2017, Human molecular genetics.
[46] P. D. Rango. Prospective Cohort Studies. , 2016 .
[47] Christopher M. DeBoever,et al. Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology , 2019, Nature Communications.
[48] P. Visscher,et al. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores , 2015, bioRxiv.
[49] Mary E. Haas,et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations , 2018, Nature Genetics.
[50] A. Valdes,et al. Familial aggregation of gout and relative genetic and environmental contributions: a nationwide population study in Taiwan , 2013, Annals of the rheumatic diseases.
[51] Manuel A. R. Ferreira,et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.
[52] Kristen S Purrington,et al. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes , 2018, American Journal of Human Genetics.
[53] Krista A. Zanetti,et al. The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. , 2019, American journal of epidemiology.
[54] Nathan Halko,et al. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions , 2009, SIAM Rev..
[55] Alberto Piazza,et al. Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants , 2009, Nature Genetics.
[56] Christopher M. DeBoever,et al. Assessing digital phenotyping to enhance genetic studies of human diseases , 2019, bioRxiv.
[57] Haniye Sadat Sajadi,et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 , 2018, The Lancet.
[58] Chang-Fu Kuo,et al. Rheumatoid arthritis prevalence, incidence, and mortality rates: a nationwide population study in Taiwan , 2013, Rheumatology International.
[59] C McRae,et al. Myocardial infarction. , 2019, Australian family physician.
[60] R. Tibshirani,et al. Estimating the number of clusters in a data set via the gap statistic , 2000 .
[61] Karsten B. Sieber,et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals , 2019, Nature Genetics.
[62] Karl-Hans Englmeier,et al. A comparison of Gap statistic definitions with and without logarithm function , 2011, ArXiv.
[63] C. Gieger,et al. A genome-wide association meta-analysis on lipoprotein (a) concentrations adjusted for apolipoprotein (a) isoforms[S] , 2017, Journal of Lipid Research.
[64] C. Sudlow,et al. Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population , 2017, American journal of epidemiology.
[65] Christopher. Simons,et al. Machine learning with Python , 2017 .
[66] Manolis Kellis,et al. FTO Obesity Variant Circuitry and Adipocyte Browning in Humans. , 2015, The New England journal of medicine.
[67] Jack Euesden,et al. PRSice: Polygenic Risk Score software , 2014, Bioinform..
[68] D. Belsky,et al. Development and Evaluation of a Genetic Risk Score for Obesity , 2013, Biodemography and social biology.