Year |
Citation |
Score |
2024 |
Zhu L, Yan S, Cao X, Zhang S, Sha Q. Integrating External Controls by Regression Calibration for Genome-Wide Association Study. Genes. 15. PMID 38254957 DOI: 10.3390/genes15010067 |
0.423 |
|
2023 |
Xie H, Cao X, Zhang S, Sha Q. Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network. Bioinformatics (Oxford, England). PMID 37991852 DOI: 10.1093/bioinformatics/btad707 |
0.428 |
|
2023 |
Wang M, Cao X, Zhang S, Sha Q. A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics. Scientific Reports. 13: 3389. PMID 36854754 DOI: 10.1038/s41598-023-30415-3 |
0.501 |
|
2023 |
Xie H, Cao X, Zhang S, Sha Q. Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies. Genetic Epidemiology. 47: 185-197. PMID 36691904 DOI: 10.1002/gepi.22513 |
0.405 |
|
2022 |
Cao X, Liang X, Zhang S, Sha Q. Gene selection by incorporating genetic networks into case-control association studies. European Journal of Human Genetics : Ejhg. PMID 36529820 DOI: 10.1038/s41431-022-01264-x |
0.313 |
|
2022 |
Liang X, Cao X, Sha Q, Zhang S. HCLC-FC: A novel statistical method for phenome-wide association studies. Plos One. 17: e0276646. PMID 36350801 DOI: 10.1371/journal.pone.0276646 |
0.421 |
|
2022 |
Yan S, Sha Q, Zhang S. Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data. Genes. 13. PMID 35885903 DOI: 10.3390/genes13071120 |
0.385 |
|
2022 |
Yan S, Sha Q, Zhang S. Control for population stratification in genetic association studies based on GWAS summary statistics. Genetic Epidemiology. PMID 35766057 DOI: 10.1002/gepi.22493 |
0.344 |
|
2022 |
Wang M, Zhang S, Sha Q. A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. Plos One. 17: e0260911. PMID 35482827 DOI: 10.1371/journal.pone.0260911 |
0.446 |
|
2022 |
Cao X, Wang X, Zhang S, Sha Q. Gene-based association tests using GWAS summary statistics and incorporating eQTL. Scientific Reports. 12: 3553. PMID 35241742 DOI: 10.1038/s41598-022-07465-0 |
0.45 |
|
2020 |
Gao C, Sha Q, Zhang S, Zhang K. MF-TOWmuT: Testing an optimally weighted combination of common and rare variants with multiple traits using family data. Genetic Epidemiology. PMID 33047835 DOI: 10.1002/gepi.22355 |
0.483 |
|
2020 |
Zhang J, Sha Q, Hao H, Zhang S, Gao XR, Wang X. Test Gene-Environment Interactions for Multiple Traits in Sequencing Association Studies. Human Heredity. 1-27. PMID 32417835 DOI: 10.1159/000506008 |
0.362 |
|
2020 |
Zhao Z, Zhang J, Sha Q, Hao H. Testing gene-environment interactions for rare and/or common variants in sequencing association studies. Plos One. 15: e0229217. PMID 32155162 DOI: 10.1371/journal.pone.0229217 |
0.412 |
|
2019 |
Li X, Zhang S, Sha Q. Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering. Genetic Epidemiology. PMID 31541490 DOI: 10.1002/Gepi.22263 |
0.461 |
|
2019 |
Zhang J, Wu B, Sha Q, Zhang S, Wang X. A general statistic to test an optimally weighted combination of common and/or rare variants. Genetic Epidemiology. PMID 31498476 DOI: 10.1002/Gepi.22255 |
0.454 |
|
2019 |
Zhang J, Sha Q, Liu G, Wang X. A gene based approach to test genetic association based on an optimally weighted combination of multiple traits. Plos One. 14: e0220914. PMID 31398229 DOI: 10.1371/journal.pone.0220914 |
0.527 |
|
2019 |
Yang X, Zhang S, Sha Q. Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error. Scientific Reports. 9: 1073. PMID 30705317 DOI: 10.1038/S41598-018-37538-Y |
0.566 |
|
2018 |
Sha Q, Wang Z, Zhang X, Zhang S. A Clustering Linear Combination Approach to Jointly Analyze Multiple Phenotypes for GWAS. Bioinformatics (Oxford, England). PMID 30239574 DOI: 10.1093/Bioinformatics/Bty810 |
0.452 |
|
2018 |
Wang Z, Sha Q, Fang S, Zhang K, Zhang S. Testing an optimally weighted combination of common and/or rare variants with multiple traits. Plos One. 13: e0201186. PMID 30048520 DOI: 10.1371/Journal.Pone.0201186 |
0.72 |
|
2018 |
Liang X, Sha Q, Zhang S. Joint analysis of multiple phenotypes in association studies using allele-based clustering approach for non-normal distributions. Annals of Human Genetics. PMID 29932453 DOI: 10.1111/Ahg.12260 |
0.562 |
|
2018 |
Liang X, Sha Q, Rho Y, Zhang S. A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes. Genetic Epidemiology. PMID 29682782 DOI: 10.1002/Gepi.22124 |
0.539 |
|
2018 |
Zhu H, Zhang S, Sha Q. A novel method to test associations between a weighted combination of phenotypes and genetic variants. Plos One. 13: e0190788. PMID 29329304 DOI: 10.1371/Journal.Pone.0190788 |
0.584 |
|
2017 |
Yang X, Wang S, Zhang S, Sha Q. Detecting association of rare and common variants based on cross-validation prediction error. Genetic Epidemiology. PMID 28176359 DOI: 10.1002/Gepi.22034 |
0.563 |
|
2016 |
Zhu H, Wang Z, Wang X, Sha Q. A novel statistical method for rare-variant association studies in general pedigrees. Bmc Proceedings. 10: 193-196. PMID 27980635 DOI: 10.1186/S12919-016-0029-6 |
0.528 |
|
2016 |
Sha Q, Zhang K, Zhang S. A Nonparametric Regression Approach to Control for Population Stratification in Rare Variant Association Studies. Scientific Reports. 6: 37444. PMID 27857226 DOI: 10.1038/Srep37444 |
0.487 |
|
2016 |
Liang X, Wang Z, Sha Q, Zhang S. An Adaptive Fisher's Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies. Scientific Reports. 6: 34323. PMID 27694844 DOI: 10.1038/Srep34323 |
0.581 |
|
2016 |
Zhu H, Zhang S, Sha Q. Power Comparisons of Methods for Joint Association Analysis of Multiple Phenotypes. Human Heredity. 80: 144-152. PMID 27344597 DOI: 10.1159/000446239 |
0.517 |
|
2016 |
Wang Z, Wang X, Sha Q, Zhang S. Joint Analysis of Multiple Traits in Rare Variant Association Studies. Annals of Human Genetics. PMID 26990300 DOI: 10.1111/Ahg.12149 |
0.588 |
|
2016 |
Wang Z, Sha Q, Zhang S. Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test. Plos One. 11: e0150975. PMID 26950849 DOI: 10.1371/Journal.Pone.0150975 |
0.54 |
|
2015 |
Wang X, Zhang S, Li Y, Li M, Sha Q. A powerful approach to test an optimally weighted combination of rare variants in admixed populations. Genetic Epidemiology. 39: 294-305. PMID 25758547 DOI: 10.1002/Gepi.21894 |
0.54 |
|
2015 |
Sha Q, Zhang S. Test of rare variant association based on affected sib-pairs. European Journal of Human Genetics : Ejhg. 23: 229-37. PMID 24667785 DOI: 10.1038/Ejhg.2014.43 |
0.575 |
|
2014 |
Wang S, Fang S, Sha Q, Zhang S. Detecting association of rare and common variants by testing an optimally weighted combination of variants with longitudinal data. Bmc Proceedings. 8: S91. PMID 25519418 DOI: 10.1186/1753-6561-8-S1-S91 |
0.68 |
|
2014 |
Zhao X, Sha Q, Zhang S, Wang X. Testing optimally weighted combination of variants for hypertension. Bmc Proceedings. 8: S59. PMID 25519394 DOI: 10.1186/1753-6561-8-S1-S59 |
0.446 |
|
2014 |
Sha Q, Zhang S. A rare variant association test based on combinations of single-variant tests. Genetic Epidemiology. 38: 494-501. PMID 25065727 DOI: 10.1002/Gepi.21834 |
0.489 |
|
2014 |
Sha Q, Zhang S. A novel test for testing the optimally weighted combination of rare and common variants based on data of parents and affected children. Genetic Epidemiology. 38: 135-43. PMID 24382753 DOI: 10.1002/Gepi.21787 |
0.517 |
|
2013 |
Fang S, Zhang S, Sha Q. Detecting association of rare variants by testing an optimally weighted combination of variants for quantitative traits in general families. Annals of Human Genetics. 77: 524-34. PMID 23968488 DOI: 10.1111/Ahg.12038 |
0.686 |
|
2013 |
Sha Q, Wang S, Zhang S. Adaptive clustering and adaptive weighting methods to detect disease associated rare variants. European Journal of Human Genetics : Ejhg. 21: 332-7. PMID 22781093 DOI: 10.1038/Ejhg.2012.143 |
0.517 |
|
2012 |
Sha Q, Wang X, Wang X, Zhang S. Detecting association of rare and common variants by testing an optimally weighted combination of variants. Genetic Epidemiology. 36: 561-71. PMID 22714994 DOI: 10.1002/Gepi.21649 |
0.519 |
|
2012 |
Fang S, Sha Q, Zhang S. Two adaptive weighting methods to test for rare variant associations in family-based designs. Genetic Epidemiology. 36: 499-507. PMID 22674630 DOI: 10.1002/Gepi.21646 |
0.686 |
|
2011 |
Zhang Z, Sha Q, Wang X, Zhang S. Detection of rare variant effects in association studies: extreme values, iterative regression, and a hybrid approach. Bmc Proceedings. 5: S112. PMID 22373188 DOI: 10.1186/1753-6561-5-S9-S112 |
0.481 |
|
2011 |
Niu A, Zhang S, Sha Q. A novel method to detect gene-gene interactions in structured populations: MDR-SP. Annals of Human Genetics. 75: 742-54. PMID 21972964 DOI: 10.1111/J.1469-1809.2011.00681.X |
0.602 |
|
2011 |
Sha Q, Zhang S. A test of Hardy-Weinberg equilibrium in structured populations. Genetic Epidemiology. 35: 671-8. PMID 21818775 DOI: 10.1002/Gepi.20617 |
0.447 |
|
2011 |
Sha Q, Zhang Z, Zhang S. Joint analysis for genome-wide association studies in family-based designs. Plos One. 6: e21957. PMID 21799758 DOI: 10.1371/Journal.Pone.0021957 |
0.445 |
|
2011 |
Sha Q, Zhang Z, Zhang S. An improved score test for genetic association studies. Genetic Epidemiology. 35: 350-9. PMID 21484862 DOI: 10.1002/Gepi.20583 |
0.469 |
|
2010 |
Zhang Z, Niu A, Sha Q. Identification of interacting genes in genome-wide association studies using a model-based two-stage approach. Annals of Human Genetics. 74: 406-15. PMID 20636464 DOI: 10.1111/J.1469-1809.2010.00594.X |
0.616 |
|
2010 |
Qin H, Feng T, Zhang S, Sha Q. A data-driven weighting scheme for family-based genome-wide association studies. European Journal of Human Genetics : Ejhg. 18: 596-603. PMID 19935828 DOI: 10.1038/Ejhg.2009.201 |
0.484 |
|
2009 |
Cui X, Sha Q, Zhang S, Chen HS. A combinatorial approach for detecting gene-gene interaction using multiple traits of Genetic Analysis Workshop 16 rheumatoid arthritis data. Bmc Proceedings. 3: S43. PMID 20018035 DOI: 10.1186/1753-6561-3-S7-S43 |
0.387 |
|
2009 |
Wang X, Qin H, Sha Q. Incorporating multiple-marker information to detect risk loci for rheumatoid arthritis. Bmc Proceedings. 3: S28. PMID 20018018 DOI: 10.1186/1753-6561-3-S7-S28 |
0.482 |
|
2009 |
Niu A, Zhang Z, Sha Q. Application of seventeen two-locus models in genome-wide association studies by two-stage strategy. Bmc Proceedings. 3: S26. PMID 20018016 DOI: 10.1186/1753-6561-3-S7-S26 |
0.625 |
|
2009 |
Sha Q, Tang R, Zhang S. Detecting susceptibility genes for rheumatoid arthritis based on a novel sliding-window approach. Bmc Proceedings. 3: S14. PMID 20018003 DOI: 10.1186/1753-6561-3-S7-S14 |
0.459 |
|
2009 |
Sha Q, Zhang Z, Schymick JC, Traynor BJ, Zhang S. Genome-wide association reveals three SNPs associated with sporadic amyotrophic lateral sclerosis through a two-locus analysis. Bmc Medical Genetics. 10: 86. PMID 19740415 DOI: 10.1186/1471-2350-10-86 |
0.472 |
|
2009 |
Tang R, Feng T, Sha Q, Zhang S. A variable-sized sliding-window approach for genetic association studies via principal component analysis. Annals of Human Genetics. 73: 631-7. PMID 19735491 DOI: 10.1111/J.1469-1809.2009.00543.X |
0.47 |
|
2009 |
Wang X, Zhang S, Sha Q. A new association test to test multiple-marker association. Genetic Epidemiology. 33: 164-71. PMID 18720476 DOI: 10.1002/Gepi.20369 |
0.42 |
|
2008 |
Zhang Z, Zhang S, Wong MY, Wareham NJ, Sha Q. An ensemble learning approach jointly modeling main and interaction effects in genetic association studies. Genetic Epidemiology. 32: 285-300. PMID 18205210 DOI: 10.1002/Gepi.20304 |
0.478 |
|
2007 |
Tang R, Wang F, Sha Q, Zhang S, Chen HS. Genome-wide association tests by using block information in family data. Bmc Proceedings. 1: S149. PMID 18466493 DOI: 10.1186/1753-6561-1-S1-S149 |
0.388 |
|
2007 |
Wang X, Zhang Z, Zhang S, Sha Q. Genome-wide association tests by two-stage approaches with unified analysis of families and unrelated individuals. Bmc Proceedings. 1: S140. PMID 18466484 DOI: 10.1186/1753-6561-1-S1-S140 |
0.413 |
|
2007 |
Zhang Z, Zhang S, Sha Q. A multi-marker test based on family data in genome-wide association study. Bmc Genetics. 8: 65. PMID 17894890 DOI: 10.1186/1471-2156-8-65 |
0.413 |
|
2007 |
Feng T, Zhang S, Sha Q. Two-stage association tests for genome-wide association studies based on family data with arbitrary family structure. European Journal of Human Genetics : Ejhg. 15: 1169-75. PMID 17653107 DOI: 10.1038/Sj.Ejhg.5201902 |
0.371 |
|
2007 |
Sha Q, Chen HS, Zhang S. A new association test using haplotype similarity. Genetic Epidemiology. 31: 577-93. PMID 17443704 DOI: 10.1002/Gepi.20230 |
0.508 |
|
2007 |
Zhang S, Sha Q. Association tests for complex disease genes while controlling population stratification Current Topics in Human Genetics: Studies in Complex Diseases. 255-268. DOI: 10.1142/9789812790811_00010 |
0.379 |
|
2006 |
Sha Q, Zhang X, Zhu X, Zhang S. Analytical correction for multiple testing in admixture mapping. Human Heredity. 62: 55-63. PMID 17047335 DOI: 10.1159/000096094 |
0.399 |
|
2006 |
Sha Q, Zhu X, Zuo Y, Cooper R, Zhang S. A combinatorial searching method for detecting a set of interacting loci associated with complex traits. Annals of Human Genetics. 70: 677-92. PMID 16907712 DOI: 10.1111/J.1469-1809.2006.00262.X |
0.321 |
|
2005 |
Sha Q, Dong J, Jiang R, Zhang S. Tests of association between quantitative traits and haplotypes in a reduced-dimensional space. Annals of Human Genetics. 69: 715-32. PMID 16266410 DOI: 10.1111/J.1529-8817.2005.00216.X |
0.644 |
|
2005 |
Sha Q, Dong J, Jiang R, Chen HS, Zhang S. Haplotype sharing transmission/disequilibrium tests that allow for genotyping errors. Genetic Epidemiology. 28: 341-51. PMID 15662724 DOI: 10.1002/Gepi.20066 |
0.611 |
|
2004 |
Zhang S, Sha Q, Chen H, Dong J, Jiang R. Reply to Knapp and Becker The American Journal of Human Genetics. 74: 591-593. DOI: 10.1086/382288 |
0.553 |
|
2003 |
Zhang S, Sha Q, Chen HS, Dong J, Jiang R. Transmission/disequilibrium test based on haplotype sharing for tightly linked markers. American Journal of Human Genetics. 73: 566-79. PMID 12929082 DOI: 10.1086/378205 |
0.621 |
|
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