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1. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

3. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

4. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

6. Fine-mapping analysis including over 254 000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

8. Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysis

10. Supplementary Table 1 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

11. Supplementary Table 3 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

12. Supplementary Table 4 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

13. Supplementary Table 2 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

14. Supplementary Table 5 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

15. Supplementary Table 6 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

16. Supplementary Figures 1-19, supplementary methods and extended literature evaluation of the candidate genes from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

17. Supplementary Table 7 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

18. Retrotransposon insertions can initiate colorectal cancer and are associated with poor survival

19. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

20. Impact of constitutional TET2 haploinsufficiency on molecular and clinical phenotype in humans

22. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

23. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

24. Combined burden and functional impact tests for cancer driver discovery using DriverPower

25. Integrative pathway enrichment analysis of multivariate omics data

26. Pathway and network analysis of more than 2500 whole cancer genomes

27. Divergent mutational processes distinguish hypoxic and normoxic tumours

28. Genomic footprints of activated telomere maintenance mechanisms in cancer

30. Genome‐wide association study and meta‐analysis in Northern European populations replicate multiple colorectal cancer risk loci

31. Contribution of allelic imbalance to colorectal cancer

32. Comprehensive evaluation of coding region point mutations in microsatellite‐unstable colorectal cancer

34. The impact of the COVID ‐19 pandemic on cancer diagnosis based on pathology notifications: A comparison across the Nordic countries during 2020

37. Genetic and Epigenetic Characteristics of Inflammatory Bowel Disease–Associated Colorectal Cancer

39. Exome sequencing reveals frequent inactivating mutations in ARID1A, ARID1B, ARID2 and ARID4A in microsatellite unstable colorectal cancer

40. Pan-cancer analysis of whole genomes

43. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

44. Genetic predisposition to colorectal cancer in young patients and in the general population

45. Exome and immune cell score analyses reveal great variation within synchronous primary colorectal cancers

46. Retrotransposon insertions can initiate colorectal cancer and are associated with poor survival

47. Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability

48. Author response: Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability

49. Abstract LB-382: Identification of predisposing genes for small bowel adenocarcinoma by exome sequencing

50. ESR1, WT1, WNT4, ATM and TERT loci are major contributors to uterine leiomyoma predisposition

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