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Gene-environment interactions--the BioBank UK study.

The pharmacogenomics journal

Wright AF, Carothers AD, Campbell H.
PMID: 12049178
Pharmacogenomics J. 2002;2(2):75-82. doi: 10.1038/sj.tpj.6500085.

No abstract available.

Cite
Wright AF, Carothers AD, Campbell H. Gene-environment interactions--the BioBank UK study. Pharmacogenomics J. 2002;2(2):75-82doi: 10.1038/sj.tpj.6500085.
Wright, A. F., Carothers, A. D., & Campbell, H. (2002). Gene-environment interactions--the BioBank UK study. The pharmacogenomics journal, 2(2), 75-82. https://doi.org/10.1038/sj.tpj.6500085
Wright, A F, et al. "Gene-environment interactions--the BioBank UK study." The pharmacogenomics journal vol. 2,2 (2002): 75-82. doi: https://doi.org/10.1038/sj.tpj.6500085
Wright AF, Carothers AD, Campbell H. Gene-environment interactions--the BioBank UK study. Pharmacogenomics J. 2002;2(2):75-82. doi: 10.1038/sj.tpj.6500085. PMID: 12049178.
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Han Chinese population data for ten STR loci in Changsha, China.

Journal of forensic sciences

Ma Y, Gong B, Xia J, Deng H, Pan Q, Li Q, Dai H, Wen S, Xia K.
PMID: 11908620
J Forensic Sci. 2002 Mar;47(2):404-5.

No abstract available.

Cite
Ma Y, Gong B, Xia J, et al. Han Chinese population data for ten STR loci in Changsha, China. J Forensic Sci. 2002;47(2):404-5
Ma, Y., Gong, B., Xia, J., Deng, H., Pan, Q., Li, Q., Dai, H., Wen, S., & Xia, K. (2002). Han Chinese population data for ten STR loci in Changsha, China. Journal of forensic sciences, 47(2), 404-5.
Ma, Yanlin, et al. "Han Chinese population data for ten STR loci in Changsha, China." Journal of forensic sciences vol. 47,2 (2002): 404-5.
Ma Y, Gong B, Xia J, Deng H, Pan Q, Li Q, Dai H, Wen S, Xia K. Han Chinese population data for ten STR loci in Changsha, China. J Forensic Sci. 2002 Mar;47(2):404-5. PMID: 11908620.
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GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size.

Molecular psychiatry

Asif H, Alliey-Rodriguez N, Keedy S, Tamminga CA, Sweeney JA, Pearlson G, Clementz BA, Keshavan MS, Buckley P, Liu C, Neale B, Gershon ES.
PMID: 32066829
Mol Psychiatry. 2021 Jun;26(6):2048-2055. doi: 10.1038/s41380-020-0670-3. Epub 2020 Feb 17.

An important issue affecting genome-wide association studies with deep phenotyping (multiple correlated phenotypes) is determining the suitable family-wise significance threshold. Straightforward family-wise correction (Bonferroni) of p 

Cite
Asif H, Alliey-Rodriguez N, Keedy S, et al. GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size. Mol Psychiatry. 2020;26(6):2048-2055doi: 10.1038/s41380-020-0670-3.
Asif, H., Alliey-Rodriguez, N., Keedy, S., Tamminga, C. A., Sweeney, J. A., Pearlson, G., Clementz, B. A., Keshavan, M. S., Buckley, P., Liu, C., Neale, B., & Gershon, E. S. (2021). GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size. Molecular psychiatry, 26(6), 2048-2055. https://doi.org/10.1038/s41380-020-0670-3
Asif, Huma, et al. "GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size." Molecular psychiatry vol. 26,6 (2021): 2048-2055. doi: https://doi.org/10.1038/s41380-020-0670-3
Asif H, Alliey-Rodriguez N, Keedy S, Tamminga CA, Sweeney JA, Pearlson G, Clementz BA, Keshavan MS, Buckley P, Liu C, Neale B, Gershon ES. GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size. Mol Psychiatry. 2021 Jun;26(6):2048-2055. doi: 10.1038/s41380-020-0670-3. Epub 2020 Feb 17. PMID: 32066829; PMCID: PMC7429341.
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Evolutionary diagnosis method for variants in personal exomes.

Nature methods

Kumar S, Sanderford M, Gray VE, Ye J, Liu L.
PMID: 22936163
Nat Methods. 2012 Sep;9(9):855-6. doi: 10.1038/nmeth.2147.

No abstract available.

Cite
Kumar S, Sanderford M, Gray VE, et al. Evolutionary diagnosis method for variants in personal exomes. Nat Methods. 2012;9(9):855-6doi: 10.1038/nmeth.2147.
Kumar, S., Sanderford, M., Gray, V. E., Ye, J., & Liu, L. (2012). Evolutionary diagnosis method for variants in personal exomes. Nature methods, 9(9), 855-6. https://doi.org/10.1038/nmeth.2147
Kumar, Sudhir, et al. "Evolutionary diagnosis method for variants in personal exomes." Nature methods vol. 9,9 (2012): 855-6. doi: https://doi.org/10.1038/nmeth.2147
Kumar S, Sanderford M, Gray VE, Ye J, Liu L. Evolutionary diagnosis method for variants in personal exomes. Nat Methods. 2012 Sep;9(9):855-6. doi: 10.1038/nmeth.2147. PMID: 22936163; PMCID: PMC3810944.
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Showing 1 to 4 of 4 entries