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Peritubular and Tubulointerstitial Inflammation as Predictors of Impaired Viral Clearance in Polyomavirus Nephropathy.
Omić H, Eder M, Schrag TA, Kozakowski N, Kläger J, Bond G, Kikić Ž
J Clin Med, 13(19):5714, 25 Sep 2024
Cited by: 0 articles | PMID: 39407774 | PMCID: PMC11476510
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Polyomavirus Nephropathy in ABO Blood Group-Incompatible Kidney Transplantation: Torque Teno Virus and Immunosuppressive Burden as an Approximation to the Problem.
Eder M, Schrag TA, Havel EF, Kainz A, Omic H, Doberer K, Kozakowski N, Körmöczi GF, Schönbacher M, Fischer G, Strassl R, Breuer M, Weseslindtner L, Haupenthal F, Böhmig GA, Puchhammer-Stöckl E, Bond G, Görzer I, Eskandary F
Kidney Int Rep, 9(6):1730-1741, 03 Apr 2024
Cited by: 0 articles | PMID: 38899213 | PMCID: PMC11184242
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Prevention, diagnosis, and treatment of urolithiasis in geriatric patients - differences, similarities and caveats in comparison to the general population.
Schrag TA, Diarra D, Veser J
Curr Opin Urol, 34(3):154-165, 05 Mar 2024
Cited by: 0 articles | PMID: 38445376
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Clinical Relevance of Absolute BK Polyoma Viral Load Kinetics in Patients With Biopsy Proven BK Polyomavirus Associated Nephropathy.
Omić H, Kläger JP, Herkner H, Aberle SW, Regele H, Weseslindtner L, Schrag TA, Bond G, Hohenstein K, Watschinger B, Werzowa J, Strassl R, Eder M, Kikić Ž
Front Med (Lausanne), 8:791087, 06 Jan 2022
Cited by: 1 article | PMID: 35071271 | PMCID: PMC8770438
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High-resolution association mapping with libraries of immortalized lines from ancestral landraces.
Würschum T, Weiß TM, Renner J, Friedrich Utz H, Gierl A, Jonczyk R, Römisch-Margl L, Schipprack W, Schön CC, Schrag TA, Leiser WL, Melchinger AE
Theor Appl Genet, 135(1):243-256, 20 Oct 2021
Cited by: 1 article | PMID: 34668978 | PMCID: PMC8741726
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Across-years prediction of hybrid performance in maize using genomics.
Schrag TA, Schipprack W, Melchinger AE
Theor Appl Genet, 132(4):933-946, 29 Nov 2018
Cited by: 18 articles | PMID: 30498894
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Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize.
Schrag TA, Westhues M, Schipprack W, Seifert F, Thiemann A, Scholten S, Melchinger AE
Genetics, 208(4):1373-1385, 23 Jan 2018
Cited by: 74 articles | PMID: 29363551 | PMCID: PMC5887136
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Small RNA-based prediction of hybrid performance in maize.
Seifert F, Thiemann A, Schrag TA, Rybka D, Melchinger AE, Frisch M, Scholten S
BMC Genomics, 19(1):371, 21 May 2018
Cited by: 15 articles | PMID: 29783940 | PMCID: PMC5963143
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Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population.
Seifert F, Thiemann A, Grant-Downton R, Edelmann S, Rybka D, Schrag TA, Frisch M, Dickinson HG, Melchinger AE, Scholten S
Front Plant Sci, 9:13, 30 Jan 2018
Cited by: 9 articles | PMID: 29441076 | PMCID: PMC5797689
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Omics-based Hybrid Prediction in Maize
Westhues M, Schrag TA, Heuer C, Thaller G, Friedrich Utz H, Schipprack W, Thiemann A, Seifert F, Ehret A, Schlereth A, Stitt M, Nikoloski Z, Willmitzer L, Schön CC, Scholten S, Melchinger AE
bioRxiv, 05 May 2017
Cited by: 0 articles | PPR: PPR21871
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Safeguarding Our Genetic Resources with Libraries of Doubled-Haploid Lines.
Melchinger AE, Schopp P, Müller D, Schrag TA, Bauer E, Unterseer S, Homann L, Schipprack W, Schön CC
Genetics, 206(3):1611-1619, 03 May 2017
Cited by: 14 articles | PMID: 28468909 | PMCID: PMC5500154
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Omics-based hybrid prediction in maize.
Westhues M, Schrag TA, Heuer C, Thaller G, Thaller G, Utz HF, Schipprack W, Thiemann A, Seifert F, Ehret A, Schlereth A, Stitt M, Nikoloski Z, Willmitzer L, Schön CC, Scholten S, Melchinger AE
Theor Appl Genet, 130(9):1927-1939, 24 Jun 2017
Cited by: 58 articles | PMID: 28647896
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Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.
Han S, Utz HF, Liu W, Schrag TA, Schrag TA, Stange M, Würschum T, Miedaner T, Bauer E, Schön CC, Melchinger AE
Theor Appl Genet, 129(2):431-444, 10 Dec 2015
Cited by: 17 articles | PMID: 26660464
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Low validation rate of quantitative trait loci for Gibberella ear rot resistance in European maize.
Brauner PC, Melchinger AE, Schrag TA, Utz HF, Schipprack W, Kessel B, Ouzunova M, Miedaner T
Theor Appl Genet, 130(1):175-186, 05 Oct 2016
Cited by: 10 articles | PMID: 27709251
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The Genetic Basis of Haploid Induction in Maize Identified with a Novel Genome-Wide Association Method.
Hu H, Schrag TA, Peis R, Unterseer S, Schipprack W, Chen S, Lai J, Yan J, Prasanna BM, Nair SK, Chaikam V, Rotarenco V, Shatskaya OA, Zavalishina A, Scholten S, Schön CC, Melchinger AE
Genetics, 202(4):1267-1276, 19 Feb 2016
Cited by: 33 articles | PMID: 26896330 | PMCID: PMC4905542
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High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.
Stange M, Utz HF, Schrag TA, Schrag TA, Melchinger AE, Würschum T
Theor Appl Genet, 126(10):2563-2574, 17 Jul 2013
Cited by: 41 articles | PMID: 23860723
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Identification of key ancestors of modern germplasm in a breeding program of maize.
Technow F, Schrag TA, Schrag TA, Schipprack W, Melchinger AE
Theor Appl Genet, 127(12):2545-2553, 11 Sep 2014
Cited by: 9 articles | PMID: 25208647
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Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.
Technow F, Schrag TA, Schrag TA, Schipprack W, Bauer E, Simianer H, Melchinger AE
Genetics, 197(4):1343-1355, 21 May 2014
Cited by: 103 articles | PMID: 24850820 | PMCID: PMC4125404
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Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci.
Thiemann A, Fu J, Seifert F, Grant-Downton RT, Schrag TA, Schrag TA, Pospisil H, Frisch M, Melchinger AE, Scholten S
BMC Plant Biol, 14:88, 02 Apr 2014
Cited by: 19 articles | PMID: 24693880 | PMCID: PMC4234143
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High-density linkage mapping of yield components and epistatic interactions in maize with doubled haploid lines from four crosses
Stange M, Schrag TA, Utz HF, Riedelsheimer C, Bauer E, Melchinger AE
Mol Breed, 32(3):533-546, 01 Oct 2013
Cited by: 4 articles | AGR: IND500694527
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Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects.
Technow F, Riedelsheimer C, Schrag TA, Schrag TA, Melchinger AE
Theor Appl Genet, 125(6):1181-1194, 26 Jun 2012
Cited by: 85 articles | PMID: 22733443
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Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments.
Strigens A, Freitag NM, Gilbert X, Grieder C, Riedelsheimer C, Schrag TA, Schrag TA, Messmer R, Melchinger AE
Plant Cell Environ, 36(10):1871-1887, 13 May 2013
Cited by: 40 articles | PMID: 23488576
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Genetic diversity analysis of elite European maize (Zea mays L.) inbred lines using AFLP, SSR, and SNP markers reveals ascertainment bias for a subset of SNPs.
Frascaroli E, Schrag TA, Melchinger AE
Theor Appl Genet, 126(1):133-141, 04 Sep 2012
Cited by: 43 articles | PMID: 22945268
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Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data.
Fu J, Falke KC, Thiemann A, Schrag TA, Melchinger AE, Scholten S, Frisch M
Theor Appl Genet, 124(5):825-833, 19 Nov 2011
Cited by: 22 articles | PMID: 22101908
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Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds.
Schrag TA, Möhring J, Melchinger AE, Kusterer B, Dhillon BS, Piepho HP, Frisch M
Theor Appl Genet, 120(2):451-461, 15 Nov 2009
Cited by: 40 articles | PMID: 19916002
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1-25 of 32 results

1 2

Search life-sciences literature (45,104,931 articles, preprints and more)

Search results

Peritubular and Tubulointerstitial Inflammation as Predictors of Impaired Viral Clearance in Polyomavirus Nephropathy.

Polyomavirus Nephropathy in ABO Blood Group-Incompatible Kidney Transplantation: Torque Teno Virus and Immunosuppressive Burden as an Approximation to the Problem.

Prevention, diagnosis, and treatment of urolithiasis in geriatric patients - differences, similarities and caveats in comparison to the general population.

Clinical Relevance of Absolute BK Polyoma Viral Load Kinetics in Patients With Biopsy Proven BK Polyomavirus Associated Nephropathy.

High-resolution association mapping with libraries of immortalized lines from ancestral landraces.

Across-years prediction of hybrid performance in maize using genomics.

Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize.

Small RNA-based prediction of hybrid performance in maize.

Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population.

Omics-based Hybrid Prediction in Maize

Safeguarding Our Genetic Resources with Libraries of Doubled-Haploid Lines.

Omics-based hybrid prediction in maize.

Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.

Low validation rate of quantitative trait loci for Gibberella ear rot resistance in European maize.

The Genetic Basis of Haploid Induction in Maize Identified with a Novel Genome-Wide Association Method.

High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.

Identification of key ancestors of modern germplasm in a breeding program of maize.

Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.

Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci.

High-density linkage mapping of yield components and epistatic interactions in maize with doubled haploid lines from four crosses

Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects.

Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments.

Genetic diversity analysis of elite European maize (Zea mays L.) inbred lines using AFLP, SSR, and SNP markers reveals ascertainment bias for a subset of SNPs.

Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data.

Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds.

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