These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

92 related articles for article (PubMed ID: 18652601)

  • 1. Probability that a two-stage genome-wide association study will detect a disease-associated snp and implications for multistage designs.
    Gail MH; Pfeiffer RM; Wheeler W; Pee D
    Ann Hum Genet; 2008 Nov; 72(Pt 6):812-20. PubMed ID: 18652601
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Probability of detecting disease-associated single nucleotide polymorphisms in case-control genome-wide association studies.
    Gail MH; Pfeiffer RM; Wheeler W; Pee D
    Biostatistics; 2008 Apr; 9(2):201-15. PubMed ID: 17873152
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prioritize and select SNPs for association studies with multi-stage designs.
    Li J
    J Comput Biol; 2008 Apr; 15(3):241-57. PubMed ID: 18352819
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The power of genome-wide association studies of complex disease genes: statistical limitations of indirect approaches using SNP markers.
    Ohashi J; Tokunaga K
    J Hum Genet; 2001; 46(8):478-82. PubMed ID: 11501946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The expected power of genome-wide linkage disequilibrium testing using single nucleotide polymorphism markers for detecting a low-frequency disease variant.
    Ohashi J; Tokunaga K
    Ann Hum Genet; 2002 Jul; 66(Pt 4):297-306. PubMed ID: 12418970
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies.
    Gorlov I; Xiao X; Mayes M; Gorlova O; Amos C
    BMC Genet; 2019 Nov; 20(1):85. PubMed ID: 31718536
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Designing a multistage, SNP-based, genome screen for common diseases.
    Sato Y; Suganami H; Hamada C; Yoshimura I; Yoshida T; Yoshimura K
    J Hum Genet; 2004; 49(12):669-676. PubMed ID: 15635486
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detailed analysis of the relative power of direct and indirect association studies and the implications for their interpretation.
    Moskvina V; O'Donovan MC
    Hum Hered; 2007; 64(1):63-73. PubMed ID: 17483598
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Replication and meta-analysis of previous genome-wide association studies confirm vezatin as the locus with the strongest evidence for association with endometriosis.
    Pagliardini L; Gentilini D; Sanchez AM; Candiani M; Viganò P; Di Blasio AM
    Hum Reprod; 2015 Apr; 30(4):987-93. PubMed ID: 25678572
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimal multistage designs--a general framework for efficient genome-wide association studies.
    Pahl R; Schäfer H; Müller HH
    Biostatistics; 2009 Apr; 10(2):297-309. PubMed ID: 19075295
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficient association study design via power-optimized tag SNP selection.
    Han B; Kang HM; Seo MS; Zaitlen N; Eskin E
    Ann Hum Genet; 2008 Nov; 72(Pt 6):834-47. PubMed ID: 18702637
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal two-stage genotyping designs for genome-wide association scans.
    Wang H; Thomas DC; Pe'er I; Stram DO
    Genet Epidemiol; 2006 May; 30(4):356-68. PubMed ID: 16607626
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sample-size properties of a case-control association analysis of multistage SNP studies for identifying disease susceptibility genes.
    Kitamura N; Akazawa K; Toyabe SI; Miyashita A; Kuwano R; Nakamura J
    J Hum Genet; 2008; 53(5):390-400. PubMed ID: 18288444
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Strategies for developing prediction models from genome-wide association studies.
    Wu J; Pfeiffer RM; Gail MH
    Genet Epidemiol; 2013 Dec; 37(8):768-77. PubMed ID: 24166696
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Programs for calculating the statistical powers of detecting susceptibility genes in case-control studies based on multistage designs.
    Kitamura N; Akazawa K; Miyashita A; Kuwano R; Toyabe S; Nakamura J; Nakamura N; Sato T; Hoque MA
    Bioinformatics; 2009 Jan; 25(2):272-3. PubMed ID: 19043077
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Power analysis for genome-wide association studies.
    Klein RJ
    BMC Genet; 2007 Aug; 8():58. PubMed ID: 17725844
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Two-Stage sampling designs for gene association studies.
    Thomas D; Xie R; Gebregziabher M
    Genet Epidemiol; 2004 Dec; 27(4):401-14. PubMed ID: 15543639
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Extent of genome-wide linkage disequilibrium in Australian Holstein-Friesian cattle based on a high-density SNP panel.
    Khatkar MS; Nicholas FW; Collins AR; Zenger KR; Cavanagh JA; Barris W; Schnabel RD; Taylor JF; Raadsma HW
    BMC Genomics; 2008 Apr; 9():187. PubMed ID: 18435834
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Power of genome-wide linkage disequilibrium testing by using microsatellite markers.
    Ohashi J; Tokunaga K
    J Hum Genet; 2003; 48(9):487-491. PubMed ID: 12938017
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Efficient study designs for test of genetic association using sibship data and unrelated cases and controls.
    Li M; Boehnke M; Abecasis GR
    Am J Hum Genet; 2006 May; 78(5):778-792. PubMed ID: 16642434
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.