Literature DB >> 30279535

Genome-wide polygenic risk predictors for kidney disease.

Lili Liu1, Krzysztof Kiryluk2.   

Abstract

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Mesh：

Year:  2018        PMID： 30279535     DOI： 10.1038/s41581-018-0067-6

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN： 1759-5061            Impact factor:   28.314


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  12 in total

1.  Genome-Wide Association Studies of CKD and Related Traits.

Authors:  Adrienne Tin; Anna Köttgen
Journal:  Clin J Am Soc Nephrol       Date:  2020-05-14       Impact factor: 8.237

Review 2.  Machine learning for risk stratification in kidney disease.

Authors:  Faris F Gulamali; Ashwin S Sawant; Girish N Nadkarni
Journal:  Curr Opin Nephrol Hypertens       Date:  2022-08-10       Impact factor: 3.416

3.  From Genotype to Phenotype: Polygenic Prediction of Complex Human Traits.

Authors:  Timothy G Raben; Louis Lello; Erik Widen; Stephen D H Hsu
Journal:  Methods Mol Biol       Date:  2022

4.  Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations.

Authors:  Laurent C A M Tellier; Jennifer Eccles; Nathan R Treff; Louis Lello; Simon Fishel; Stephen Hsu
Journal:  Genes (Basel)       Date:  2021-07-21       Impact factor: 4.096

Review 5.  Rare genetic causes of complex kidney and urological diseases.

Authors:  Emily E Groopman; Gundula Povysil; David B Goldstein; Ali G Gharavi
Journal:  Nat Rev Nephrol       Date:  2020-08-17       Impact factor: 28.314

Review 6.  Clinical Integration of Genome Diagnostics for Congenital Anomalies of the Kidney and Urinary Tract.

Authors:  Rik Westland; Kirsten Y Renkema; Nine V A M Knoers
Journal:  Clin J Am Soc Nephrol       Date:  2020-04-20       Impact factor: 8.237

Review 7.  Genetic background and transplantation outcomes: insights from genome-wide association studies.

Authors:  Francesca Zanoni; Krzysztof Kiryluk
Journal:  Curr Opin Organ Transplant       Date:  2020-02       Impact factor: 2.269

8.  Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.

Authors:  Ning Shang; Atlas Khan; Fernanda Polubriaginof; Francesca Zanoni; Karla Mehl; David Fasel; Paul E Drawz; Robert J Carrol; Joshua C Denny; Matthew A Hathcock; Adelaide M Arruda-Olson; Peggy L Peissig; Richard A Dart; Murray H Brilliant; Eric B Larson; David S Carrell; Sarah Pendergrass; Shefali Setia Verma; Marylyn D Ritchie; Barbara Benoit; Vivian S Gainer; Elizabeth W Karlson; Adam S Gordon; Gail P Jarvik; Ian B Stanaway; David R Crosslin; Sumit Mohan; Iuliana Ionita-Laza; Nicholas P Tatonetti; Ali G Gharavi; George Hripcsak; Chunhua Weng; Krzysztof Kiryluk
Journal:  NPJ Digit Med       Date:  2021-04-13

Review 9.  A practical approach to the genomics of kidney disorders.

Authors:  Eleanor Hay; Thomas Cullup; Angela Barnicoat
Journal:  Pediatr Nephrol       Date:  2021-03-06       Impact factor: 3.714

10.  Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank.

Authors:  Erik Widen; Timothy G Raben; Louis Lello; Stephen D H Hsu
Journal:  Genes (Basel)       Date:  2021-06-29       Impact factor: 4.141
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