211 related articles for article (PubMed ID: 19223937)
1. Joint analysis of tightly linked SNPs in screening step of genome-wide association studies leads to increased power.
Becker T; Herold C
Eur J Hum Genet; 2009 Aug; 17(8):1043-9. PubMed ID: 19223937
[TBL] [Abstract][Full Text] [Related]
2. Performance of a blockwise approach in variable selection using linkage disequilibrium information.
Dehman A; Ambroise C; Neuvial P
BMC Bioinformatics; 2015 May; 16():148. PubMed ID: 25951947
[TBL] [Abstract][Full Text] [Related]
3. Selecting Closely-Linked SNPs Based on Local Epistatic Effects for Haplotype Construction Improves Power of Association Mapping.
Liu F; Schmidt RH; Reif JC; Jiang Y
G3 (Bethesda); 2019 Dec; 9(12):4115-4126. PubMed ID: 31604824
[TBL] [Abstract][Full Text] [Related]
4. A hidden Markov random field model for genome-wide association studies.
Li H; Wei Z; Maris J
Biostatistics; 2010 Jan; 11(1):139-50. PubMed ID: 19822692
[TBL] [Abstract][Full Text] [Related]
5. Genome-wide two-marker linkage disequilibrium mapping of quantitative trait loci.
Yang J; Zhu W; Chen J; Zhang Q; Wu S
BMC Genet; 2014 Feb; 15():20. PubMed ID: 24507412
[TBL] [Abstract][Full Text] [Related]
6. Comparison of multimarker logistic regression models, with application to a genomewide scan of schizophrenia.
Wason JM; Dudbridge F
BMC Genet; 2010 Sep; 11():80. PubMed ID: 20828390
[TBL] [Abstract][Full Text] [Related]
7. Multi-marker linkage disequilibrium mapping of quantitative trait loci.
Lee S; Yang J; Huang J; Chen H; Hou W; Wu S
Brief Bioinform; 2017 Mar; 18(2):195-204. PubMed ID: 26966282
[TBL] [Abstract][Full Text] [Related]
8. Single-marker and two-marker association tests for unphased case-control genotype data, with a power comparison.
Kim S; Morris NJ; Won S; Elston RC
Genet Epidemiol; 2010 Jan; 34(1):67-77. PubMed ID: 19557751
[TBL] [Abstract][Full Text] [Related]
9. Little loss of information due to unknown phase for fine-scale linkage-disequilibrium mapping with single-nucleotide-polymorphism genotype data.
Morris AP; Whittaker JC; Balding DJ
Am J Hum Genet; 2004 May; 74(5):945-53. PubMed ID: 15077198
[TBL] [Abstract][Full Text] [Related]
10. Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.
Carlsen M; Fu G; Bushman S; Corcoran C
Genetics; 2016 Feb; 202(2):411-26. PubMed ID: 26661113
[TBL] [Abstract][Full Text] [Related]
11. Exploiting genome structure in association analysis.
Kim S; Xing EP
J Comput Biol; 2014 Apr; 21(4):345-60. PubMed ID: 21548809
[TBL] [Abstract][Full Text] [Related]
12. Haplotype block structure and its applications to association studies: power and study designs.
Zhang K; Calabrese P; Nordborg M; Sun F
Am J Hum Genet; 2002 Dec; 71(6):1386-94. PubMed ID: 12439824
[TBL] [Abstract][Full Text] [Related]
13. Genotyping-by-sequencing and SNP-arrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies.
Negro SS; Millet EJ; Madur D; Bauland C; Combes V; Welcker C; Tardieu F; Charcosset A; Nicolas SD
BMC Plant Biol; 2019 Jul; 19(1):318. PubMed ID: 31311506
[TBL] [Abstract][Full Text] [Related]
14. Genome-wide association study of inflorescence length of cultivated soybean based on the high-throughout single-nucleotide markers.
Wang J; Zhao X; Wang W; Qu Y; Teng W; Qiu L; Zheng H; Han Y; Li W
Mol Genet Genomics; 2019 Jun; 294(3):607-620. PubMed ID: 30739204
[TBL] [Abstract][Full Text] [Related]
15. HapBoost: a fast approach to boosting haplotype association analyses in genome-wide association studies.
Wan X; Yang C; Yang Q; Zhao H; Yu W
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(1):207-12. PubMed ID: 23702557
[TBL] [Abstract][Full Text] [Related]
16. Efficiency and power in genetic association studies.
de Bakker PI; Yelensky R; Pe'er I; Gabriel SB; Daly MJ; Altshuler D
Nat Genet; 2005 Nov; 37(11):1217-23. PubMed ID: 16244653
[TBL] [Abstract][Full Text] [Related]
17. A joint association test for multiple SNPs in genetic case-control studies.
Wang T; Jacob H; Ghosh S; Wang X; Zeng ZB
Genet Epidemiol; 2009 Feb; 33(2):151-63. PubMed ID: 18770519
[TBL] [Abstract][Full Text] [Related]
18. Multi-SNP Haplotype Analysis Methods for Association Analysis.
Stram DO
Methods Mol Biol; 2017; 1666():485-504. PubMed ID: 28980261
[TBL] [Abstract][Full Text] [Related]
19. Combined genotype and haplotype tests for region-based association studies.
Zakharov S; Wong TY; Aung T; Vithana EN; Khor CC; Salim A; Thalamuthu A
BMC Genomics; 2013 Aug; 14():569. PubMed ID: 23964661
[TBL] [Abstract][Full Text] [Related]
20. Accounting for linkage disequilibrium among markers in linkage analysis: impact of haplotype frequency estimation and molecular haplotypes for a gene in a candidate region for Alzheimer's disease.
Sieh W; Yu CE; Bird TD; Schellenberg GD; Wijsman EM
Hum Hered; 2007; 63(1):26-34. PubMed ID: 17215579
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
