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SNPTransformer: a lightweight toolkit for genome-wide association studies.

Genomics, proteomics & bioinformatics

Dong C.
PMID: 21382596
Genomics Proteomics Bioinformatics. 2010 Dec;8(4):268-73. doi: 10.1016/S1672-0229(10)60029-0.

High-throughput genotyping chips have produced huge datasets for genome-wide association studies (GWAS) that have contributed greatly to discovering susceptibility genes for complex diseases. There are two strategies for performing data analysis for GWAS. One strategy is to use open-source...

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Dong C. SNPTransformer: a lightweight toolkit for genome-wide association studies. Genomics Proteomics Bioinformatics. 2010;8(4):268-73doi: 10.1016/S1672-0229(10)60029-0.
Dong, C. (2010). SNPTransformer: a lightweight toolkit for genome-wide association studies. Genomics, proteomics & bioinformatics, 8(4), 268-73. https://doi.org/10.1016/S1672-0229(10)60029-0
Dong, Changzheng. "SNPTransformer: a lightweight toolkit for genome-wide association studies." Genomics, proteomics & bioinformatics vol. 8,4 (2010): 268-73. doi: https://doi.org/10.1016/S1672-0229(10)60029-0
Dong C. SNPTransformer: a lightweight toolkit for genome-wide association studies. Genomics Proteomics Bioinformatics. 2010 Dec;8(4):268-73. doi: 10.1016/S1672-0229(10)60029-0. PMID: 21382596; PMCID: PMC5054149.
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GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits.

BMC genetics

Feng S, Wang S, Chen CC, Lan L.
PMID: 21255436
BMC Genet. 2011 Jan 21;12:12. doi: 10.1186/1471-2156-12-12.

BACKGROUND: In designing genome-wide association (GWA) studies it is important to calculate statistical power. General statistical power calculation procedures for quantitative measures often require information concerning summary statistics of distributions such as mean and variance. However, with genetic studies,...

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Feng S, Wang S, Chen CC, et al. GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genet. 2011;12:12doi: 10.1186/1471-2156-12-12.
Feng, S., Wang, S., Chen, C. C., & Lan, L. (2011). GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC genetics, 1212. https://doi.org/10.1186/1471-2156-12-12
Feng, Sheng, et al. "GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits." BMC genetics vol. 12 (2011): 12. doi: https://doi.org/10.1186/1471-2156-12-12
Feng S, Wang S, Chen CC, Lan L. GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genet. 2011 Jan 21;12:12. doi: 10.1186/1471-2156-12-12. PMID: 21255436; PMCID: PMC3036643.
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Recent genomic advances in schizophrenia.

Clinical genetics

Doherty JL, O'Donovan MC, Owen MJ.
PMID: 21895634
Clin Genet. 2012 Feb;81(2):103-9. doi: 10.1111/j.1399-0004.2011.01773.x. Epub 2011 Oct 05.

Recent studies have supported the hypothesis based upon expectations from population genetics that the high heritability of schizophrenia reflects a combination of relatively common alleles of small effect and rare alleles some with relatively large effects. Genome-wide association studies...

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Doherty JL, O'Donovan MC, Owen MJ. Recent genomic advances in schizophrenia. Clin Genet. 2011;81(2):103-9doi: 10.1111/j.1399-0004.2011.01773.x.
Doherty, J. L., O'Donovan, M. C., & Owen, M. J. (2012). Recent genomic advances in schizophrenia. Clinical genetics, 81(2), 103-9. https://doi.org/10.1111/j.1399-0004.2011.01773.x
Doherty, J L, et al. "Recent genomic advances in schizophrenia." Clinical genetics vol. 81,2 (2012): 103-9. doi: https://doi.org/10.1111/j.1399-0004.2011.01773.x
Doherty JL, O'Donovan MC, Owen MJ. Recent genomic advances in schizophrenia. Clin Genet. 2012 Feb;81(2):103-9. doi: 10.1111/j.1399-0004.2011.01773.x. Epub 2011 Oct 05. PMID: 21895634.
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What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?.

Schizophrenia bulletin

Corvin A, Sullivan PF.
PMID: 26994396
Schizophr Bull. 2016 May;42(3):538-41. doi: 10.1093/schbul/sbw014. Epub 2016 Mar 18.

No abstract available.

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Corvin A, Sullivan PF. What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophr Bull. 2016;42(3):538-41doi: 10.1093/schbul/sbw014.
Corvin, A., & Sullivan, P. F. (2016). What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophrenia bulletin, 42(3), 538-41. https://doi.org/10.1093/schbul/sbw014
Corvin, Aiden, and Sullivan, Patrick F. "What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?." Schizophrenia bulletin vol. 42,3 (2016): 538-41. doi: https://doi.org/10.1093/schbul/sbw014
Corvin A, Sullivan PF. What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophr Bull. 2016 May;42(3):538-41. doi: 10.1093/schbul/sbw014. Epub 2016 Mar 18. PMID: 26994396; PMCID: PMC4838114.
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FAPI: Fast and accurate P-value Imputation for genome-wide association study.

European journal of human genetics : EJHG

Kwan JS, Li MX, Deng JE, Sham PC.
PMID: 26306642
Eur J Hum Genet. 2016 May;24(5):761-6. doi: 10.1038/ejhg.2015.190. Epub 2015 Aug 26.

Imputing individual-level genotypes (or genotype imputation) is now a standard procedure in genome-wide association studies (GWAS) to examine disease associations at untyped common genetic variants. Meta-analysis of publicly available GWAS summary statistics can allow more disease-associated loci to be...

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Kwan JS, Li MX, Deng JE, et al. FAPI: Fast and accurate P-value Imputation for genome-wide association study. Eur J Hum Genet. 2015;24(5):761-6doi: 10.1038/ejhg.2015.190.
Kwan, J. S., Li, M. X., Deng, J. E., & Sham, P. C. (2016). FAPI: Fast and accurate P-value Imputation for genome-wide association study. European journal of human genetics : EJHG, 24(5), 761-6. https://doi.org/10.1038/ejhg.2015.190
Kwan, Johnny S H, et al. "FAPI: Fast and accurate P-value Imputation for genome-wide association study." European journal of human genetics : EJHG vol. 24,5 (2016): 761-6. doi: https://doi.org/10.1038/ejhg.2015.190
Kwan JS, Li MX, Deng JE, Sham PC. FAPI: Fast and accurate P-value Imputation for genome-wide association study. Eur J Hum Genet. 2016 May;24(5):761-6. doi: 10.1038/ejhg.2015.190. Epub 2015 Aug 26. PMID: 26306642; PMCID: PMC4930094.
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From Locus Association to Mechanism of Gene Causality: The Devil Is in the Details.

Arteriosclerosis, thrombosis, and vascular biology

Miller CL, Pjanic M, Quertermous T.
PMID: 26399919
Arterioscler Thromb Vasc Biol. 2015 Oct;35(10):2079-2080. doi: 10.1161/ATVBAHA.115.306366.

No abstract available.

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Miller CL, Pjanic M, Quertermous T. From Locus Association to Mechanism of Gene Causality: The Devil Is in the Details. Arterioscler Thromb Vasc Biol. 2015;35(10):2079-2080doi: 10.1161/ATVBAHA.115.306366.
Miller, C. L., Pjanic, M., & Quertermous, T. (2015). From Locus Association to Mechanism of Gene Causality: The Devil Is in the Details. Arteriosclerosis, thrombosis, and vascular biology, 35(10), 2079-2080. https://doi.org/10.1161/ATVBAHA.115.306366
Miller, Clint L, et al. "From Locus Association to Mechanism of Gene Causality: The Devil Is in the Details." Arteriosclerosis, thrombosis, and vascular biology vol. 35,10 (2015): 2079-2080. doi: https://doi.org/10.1161/ATVBAHA.115.306366
Miller CL, Pjanic M, Quertermous T. From Locus Association to Mechanism of Gene Causality: The Devil Is in the Details. Arterioscler Thromb Vasc Biol. 2015 Oct;35(10):2079-2080. doi: 10.1161/ATVBAHA.115.306366. PMID: 26399919; PMCID: PMC4594207.
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Towards an integrative genomics of lung function.

The Lancet. Respiratory medicine

Cho MH.
PMID: 26404119
Lancet Respir Med. 2015 Oct;3(10):739-41. doi: 10.1016/S2213-2600(15)00362-8. Epub 2015 Sep 21.

No abstract available.

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Cho MH. Towards an integrative genomics of lung function. Lancet Respir Med. 2015;3(10):739-41doi: 10.1016/S2213-2600(15)00362-8.
Cho, M. H. (2015). Towards an integrative genomics of lung function. The Lancet. Respiratory medicine, 3(10), 739-41. https://doi.org/10.1016/S2213-2600(15)00362-8
Cho, Michael H. "Towards an integrative genomics of lung function." The Lancet. Respiratory medicine vol. 3,10 (2015): 739-41. doi: https://doi.org/10.1016/S2213-2600(15)00362-8
Cho MH. Towards an integrative genomics of lung function. Lancet Respir Med. 2015 Oct;3(10):739-41. doi: 10.1016/S2213-2600(15)00362-8. Epub 2015 Sep 21. PMID: 26404119.
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Genome-wide association studies in pediatric chronic kidney disease.

Pediatric nephrology (Berlin, Germany)

Gupta J, Kanetsky PA, Wuttke M, Köttgen A, Schaefer F, Wong CS.
PMID: 26490952
Pediatr Nephrol. 2016 Aug;31(8):1241-52. doi: 10.1007/s00467-015-3235-y. Epub 2015 Oct 21.

The genome-wide association study (GWAS) has become an established scientific method that provides an unbiased screen for genetic loci potentially associated with phenotypes of clinical interest, such as chronic kidney disease (CKD). Thus, GWAS provides opportunities to gain new...

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Gupta J, Kanetsky PA, Wuttke M, et al. Genome-wide association studies in pediatric chronic kidney disease. Pediatr Nephrol. 2015;31(8):1241-52doi: 10.1007/s00467-015-3235-y.
Gupta, J., Kanetsky, P. A., Wuttke, M., Köttgen, A., Schaefer, F., & Wong, C. S. (2016). Genome-wide association studies in pediatric chronic kidney disease. Pediatric nephrology (Berlin, Germany), 31(8), 1241-52. https://doi.org/10.1007/s00467-015-3235-y
Gupta, Jayanta, et al. "Genome-wide association studies in pediatric chronic kidney disease." Pediatric nephrology (Berlin, Germany) vol. 31,8 (2016): 1241-52. doi: https://doi.org/10.1007/s00467-015-3235-y
Gupta J, Kanetsky PA, Wuttke M, Köttgen A, Schaefer F, Wong CS. Genome-wide association studies in pediatric chronic kidney disease. Pediatr Nephrol. 2016 Aug;31(8):1241-52. doi: 10.1007/s00467-015-3235-y. Epub 2015 Oct 21. PMID: 26490952; PMCID: PMC5287054.
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Progress and issues of the genome-wide association study for hypertension.

Current medicinal chemistry

Pan S, Naruse H, Nakayama T.
PMID: 25511780
Curr Med Chem. 2015;22(8):1016-29. doi: 10.2174/0929867321666141216124537.

Over the past few years, use of the genome-wide association study (GWAS) has made it possible to identify the primary genetic mechanisms of essential hypertension. GWAS results have helped identify many loci in or near genes that generally were...

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Pan S, Naruse H, Nakayama T. Progress and issues of the genome-wide association study for hypertension. Curr Med Chem. 2015;22(8):1016-29doi: 10.2174/0929867321666141216124537.
Pan, S., Naruse, H., & Nakayama, T. (2015). Progress and issues of the genome-wide association study for hypertension. Current medicinal chemistry, 22(8), 1016-29. https://doi.org/10.2174/0929867321666141216124537
Pan, Shuo, et al. "Progress and issues of the genome-wide association study for hypertension." Current medicinal chemistry vol. 22,8 (2015): 1016-29. doi: https://doi.org/10.2174/0929867321666141216124537
Pan S, Naruse H, Nakayama T. Progress and issues of the genome-wide association study for hypertension. Curr Med Chem. 2015;22(8):1016-29. doi: 10.2174/0929867321666141216124537. PMID: 25511780.
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Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease.

Arteriosclerosis, thrombosis, and vascular biology

Ghosh S, Vivar J, Nelson CP, Willenborg C, Segrè AV, Mäkinen VP, Nikpay M, Erdmann J, Blankenberg S, O'Donnell C, März W, Laaksonen R, Stewart AF, Epstein SE, Shah SH, Granger CB, Hazen SL, Kathiresan S, Reilly MP, Yang X, Quertermous T, Samani NJ, Schunkert H, Assimes TL, McPherson R.
PMID: 25977570
Arterioscler Thromb Vasc Biol. 2015 Jul;35(7):1712-22. doi: 10.1161/ATVBAHA.115.305513. Epub 2015 May 14.

OBJECTIVE: Genome-wide association studies have identified multiple genetic variants affecting the risk of coronary artery disease (CAD). However, individually these explain only a small fraction of the heritability of CAD and for most, the causal biological mechanisms remain unclear....

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Ghosh S, Vivar J, Nelson CP, et al. Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease. Arterioscler Thromb Vasc Biol. 2015;35(7):1712-22doi: 10.1161/ATVBAHA.115.305513.
Ghosh, S., Vivar, J., Nelson, C. P., Willenborg, C., Segrè, A. V., Mäkinen, V. P., Nikpay, M., Erdmann, J., Blankenberg, S., O'Donnell, C., März, W., Laaksonen, R., Stewart, A. F., Epstein, S. E., Shah, S. H., Granger, C. B., Hazen, S. L., Kathiresan, S., Reilly, M. P., Yang, X., Quertermous, T., Samani, N. J., Schunkert, H., Assimes, T. L., & McPherson, R. (2015). Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease. Arteriosclerosis, thrombosis, and vascular biology, 35(7), 1712-22. https://doi.org/10.1161/ATVBAHA.115.305513
Ghosh, Sujoy, et al. "Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease." Arteriosclerosis, thrombosis, and vascular biology vol. 35,7 (2015): 1712-22. doi: https://doi.org/10.1161/ATVBAHA.115.305513
Ghosh S, Vivar J, Nelson CP, Willenborg C, Segrè AV, Mäkinen VP, Nikpay M, Erdmann J, Blankenberg S, O'Donnell C, März W, Laaksonen R, Stewart AF, Epstein SE, Shah SH, Granger CB, Hazen SL, Kathiresan S, Reilly MP, Yang X, Quertermous T, Samani NJ, Schunkert H, Assimes TL, McPherson R. Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease. Arterioscler Thromb Vasc Biol. 2015 Jul;35(7):1712-22. doi: 10.1161/ATVBAHA.115.305513. Epub 2015 May 14. PMID: 25977570; PMCID: PMC4841833.
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[Progress of colorectal cancer by study the association of genome-wide].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

Wu YJ, Yi HG.
PMID: 24378003
Zhonghua Liu Xing Bing Xue Za Zhi. 2013 Oct;34(10):1035-9.

No abstract available.

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Wu YJ, Yi HG. [Progress of colorectal cancer by study the association of genome-wide]. Zhonghua Liu Xing Bing Xue Za Zhi. 2013;34(10):1035-9
Wu, Y. J., & Yi, H. G. (2013). [Progress of colorectal cancer by study the association of genome-wide]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 34(10), 1035-9.
Wu, Ye-jiao, and Yi, Hong-gang. "[Progress of colorectal cancer by study the association of genome-wide]." Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi vol. 34,10 (2013): 1035-9.
Wu YJ, Yi HG. [Progress of colorectal cancer by study the association of genome-wide]. Zhonghua Liu Xing Bing Xue Za Zhi. 2013 Oct;34(10):1035-9. Chinese. PMID: 24378003.
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[Strategies for elucidating functional significance of complex disease related loci].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]

Jin G, Du J, Hu Z, Shen H.
PMID: 26081530
Zhonghua Yu Fang Yi Xue Za Zhi. 2015 Apr;49(4):299-302.

Genome-wide association studies (GWAS) have identified thousands of genetic loci associated with complex diseases or traits. However, the exact biological functions of these loci are largely unknown. Recent functional annotation indicates that the majority of disease/trait associated loci are...

Cite
Jin G, Du J, Hu Z, et al. [Strategies for elucidating functional significance of complex disease related loci]. Zhonghua Yu Fang Yi Xue Za Zhi. 2015;49(4):299-302
Jin, G., Du, J., Hu, Z., & Shen, H. (2015). [Strategies for elucidating functional significance of complex disease related loci]. Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine], 49(4), 299-302.
Jin, Guangfu, et al. "[Strategies for elucidating functional significance of complex disease related loci]." Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] vol. 49,4 (2015): 299-302.
Jin G, Du J, Hu Z, Shen H. [Strategies for elucidating functional significance of complex disease related loci]. Zhonghua Yu Fang Yi Xue Za Zhi. 2015 Apr;49(4):299-302. Chinese. PMID: 26081530.
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Showing 1 to 12 of 461 entries