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Network Analysis of Genome-Wide Association Studies for Chronic Obstructive Pulmonary Disease in the Context of Biological Pathways.

American journal of respiratory and critical care medicine

Mount S, Cirillo E, Stewart K, Coort S, Evelo CT, Wesselius A, Zeegers MP, Schols AMWJ.
PMID: 31343902
Am J Respir Crit Care Med. 2019 Dec 01;200(11):1439-1441. doi: 10.1164/rccm.201904-0902LE.

No abstract available.

Cite
Mount S, Cirillo E, Stewart K, et al. Network Analysis of Genome-Wide Association Studies for Chronic Obstructive Pulmonary Disease in the Context of Biological Pathways. Am J Respir Crit Care Med. 2019;200(11):1439-1441doi: 10.1164/rccm.201904-0902LE.
Mount, S., Cirillo, E., Stewart, K., Coort, S., Evelo, C. T., Wesselius, A., Zeegers, M. P., & Schols, A. M. W. J. (2019). Network Analysis of Genome-Wide Association Studies for Chronic Obstructive Pulmonary Disease in the Context of Biological Pathways. American journal of respiratory and critical care medicine, 200(11), 1439-1441. https://doi.org/10.1164/rccm.201904-0902LE
Mount, Sarah, et al. "Network Analysis of Genome-Wide Association Studies for Chronic Obstructive Pulmonary Disease in the Context of Biological Pathways." American journal of respiratory and critical care medicine vol. 200,11 (2019): 1439-1441. doi: https://doi.org/10.1164/rccm.201904-0902LE
Mount S, Cirillo E, Stewart K, Coort S, Evelo CT, Wesselius A, Zeegers MP, Schols AMWJ. Network Analysis of Genome-Wide Association Studies for Chronic Obstructive Pulmonary Disease in the Context of Biological Pathways. Am J Respir Crit Care Med. 2019 Dec 01;200(11):1439-1441. doi: 10.1164/rccm.201904-0902LE. PMID: 31343902.
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Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population.

Journal of translational medicine

Ma X, Wu Y, Zhang L, Yuan W, Yan L, Fan S, Lian Y, Zhu X, Gao J, Zhao J, Zhang P, Tang H, Jia W.
PMID: 32234053
J Transl Med. 2020 Mar 31;18(1):146. doi: 10.1186/s12967-020-02312-0.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major public health problem and cause of mortality worldwide. However, COPD in the early stage is usually not recognized and diagnosed. It is necessary to establish a risk model to predict...

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Ma X, Wu Y, Zhang L, et al. Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population. J Transl Med. 2020;18(1):146doi: 10.1186/s12967-020-02312-0.
Ma, X., Wu, Y., Zhang, L., Yuan, W., Yan, L., Fan, S., Lian, Y., Zhu, X., Gao, J., Zhao, J., Zhang, P., Tang, H., & Jia, W. (2020). Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population. Journal of translational medicine, 18(1), 146. https://doi.org/10.1186/s12967-020-02312-0
Ma, Xia, et al. "Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population." Journal of translational medicine vol. 18,1 (2020): 146. doi: https://doi.org/10.1186/s12967-020-02312-0
Ma X, Wu Y, Zhang L, Yuan W, Yan L, Fan S, Lian Y, Zhu X, Gao J, Zhao J, Zhang P, Tang H, Jia W. Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population. J Transl Med. 2020 Mar 31;18(1):146. doi: 10.1186/s12967-020-02312-0. PMID: 32234053; PMCID: PMC7110698.
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Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis.

Pain

Tang B, Meng W, Hägg S, Burgess S, Jiang X.
PMID: 34924553
Pain. 2022 Jan 01;163(1):e40-e48. doi: 10.1097/j.pain.0000000000002305.

ABSTRACT: To understand a putative causal link for depression and pain, we retrieved summary statistics from genome-wide association studies conducted for pain at 7 different body sites (N = 151,922-226,683) and major depression disorder (MDD, Ncase/control = 246,363/561,190). We...

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Tang B, Meng W, Hägg S, et al. Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain. 2022;163(1):e40-e48doi: 10.1097/j.pain.0000000000002305.
Tang, B., Meng, W., Hägg, S., Burgess, S., & Jiang, X. (2022). Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain, 163(1), e40-e48. https://doi.org/10.1097/j.pain.0000000000002305
Tang, Bowen, et al. "Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis." Pain vol. 163,1 (2022): e40-e48. doi: https://doi.org/10.1097/j.pain.0000000000002305
Tang B, Meng W, Hägg S, Burgess S, Jiang X. Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain. 2022 Jan 01;163(1):e40-e48. doi: 10.1097/j.pain.0000000000002305. PMID: 34924553; PMCID: PMC8675051.
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Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci.

Clinical and translational medicine

Wang Z, Zhu Q, Liu Y, Chen S, Zhang Y, Ma Q, Chen X, Liu C, Lei H, Chen H, Wang J, Zheng S, Li Z, Xiong L, Lai W, Zhong S.
PMID: 33634981
Clin Transl Med. 2021 Feb;11(2):e290. doi: 10.1002/ctm2.290.

No abstract available.

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Wang Z, Zhu Q, Liu Y, et al. Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci. Clin Transl Med. 2021;11(2):e290doi: 10.1002/ctm2.290.
Wang, Z., Zhu, Q., Liu, Y., Chen, S., Zhang, Y., Ma, Q., Chen, X., Liu, C., Lei, H., Chen, H., Wang, J., Zheng, S., Li, Z., Xiong, L., Lai, W., & Zhong, S. (2021). Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci. Clinical and translational medicine, 11(2), e290. https://doi.org/10.1002/ctm2.290
Wang, Zixian, et al. "Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci." Clinical and translational medicine vol. 11,2 (2021): e290. doi: https://doi.org/10.1002/ctm2.290
Wang Z, Zhu Q, Liu Y, Chen S, Zhang Y, Ma Q, Chen X, Liu C, Lei H, Chen H, Wang J, Zheng S, Li Z, Xiong L, Lai W, Zhong S. Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci. Clin Transl Med. 2021 Feb;11(2):e290. doi: 10.1002/ctm2.290. PMID: 33634981; PMCID: PMC7839954.
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Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.

Molecular psychiatry

Bigdeli TB, Genovese G, Georgakopoulos P, Meyers JL, Peterson RE, Iyegbe CO, Medeiros H, Valderrama J, Achtyes ED, Kotov R, Stahl EA, Abbott C, Azevedo MH, Belliveau RA, Bevilacqua E, Bromet EJ, Byerley W, Carvalho CB, Chapman SB, DeLisi LE, Dumont AL, O'Dushlaine C, Evgrafov OV, Fochtmann LJ, Gage D, Kennedy JL, Kinkead B, Macedo A, Moran JL, Morley CP, Dewan MJ, Nemesh J, Perkins DO, Purcell SM, Rakofsky JJ, Scolnick EM, Sklar BM, Sklar P, Smoller JW, Sullivan PF, Macciardi F, Marder SR, Gur RC, Gur RE, Braff DL, Nicolini H, Escamilla MA, Vawter MP, Sobell JL, Malaspina D, Lehrer DS, Buckley PF, Rapaport MH, Knowles JA, Fanous AH, Pato MT, McCarroll SA, Pato CN.
PMID: 31591465
Mol Psychiatry. 2020 Oct;25(10):2455-2467. doi: 10.1038/s41380-019-0517-y. Epub 2019 Oct 07.

Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting...

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Bigdeli TB, Genovese G, Georgakopoulos P, et al. Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. Mol Psychiatry. 2019;25(10):2455-2467doi: 10.1038/s41380-019-0517-y.
Bigdeli, T. B., Genovese, G., Georgakopoulos, P., Meyers, J. L., Peterson, R. E., Iyegbe, C. O., Medeiros, H., Valderrama, J., Achtyes, E. D., Kotov, R., Stahl, E. A., Abbott, C., Azevedo, M. H., Belliveau, R. A., Bevilacqua, E., Bromet, E. J., Byerley, W., Carvalho, C. B., Chapman, S. B., DeLisi, L. E., Dumont, A. L., O'Dushlaine, C., Evgrafov, O. V., Fochtmann, L. J., Gage, D., Kennedy, J. L., Kinkead, B., Macedo, A., Moran, J. L., Morley, C. P., Dewan, M. J., Nemesh, J., Perkins, D. O., Purcell, S. M., Rakofsky, J. J., Scolnick, E. M., Sklar, B. M., Sklar, P., Smoller, J. W., Sullivan, P. F., Macciardi, F., Marder, S. R., Gur, R. C., Gur, R. E., Braff, D. L., Nicolini, H., Escamilla, M. A., Vawter, M. P., Sobell, J. L., Malaspina, D., Lehrer, D. S., Buckley, P. F., Rapaport, M. H., Knowles, J. A., Fanous, A. H., Pato, M. T., McCarroll, S. A., & Pato, C. N. (2020). Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. Molecular psychiatry, 25(10), 2455-2467. https://doi.org/10.1038/s41380-019-0517-y
Bigdeli, Tim B, et al. "Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry." Molecular psychiatry vol. 25,10 (2020): 2455-2467. doi: https://doi.org/10.1038/s41380-019-0517-y
Bigdeli TB, Genovese G, Georgakopoulos P, Meyers JL, Peterson RE, Iyegbe CO, Medeiros H, Valderrama J, Achtyes ED, Kotov R, Stahl EA, Abbott C, Azevedo MH, Belliveau RA, Bevilacqua E, Bromet EJ, Byerley W, Carvalho CB, Chapman SB, DeLisi LE, Dumont AL, O'Dushlaine C, Evgrafov OV, Fochtmann LJ, Gage D, Kennedy JL, Kinkead B, Macedo A, Moran JL, Morley CP, Dewan MJ, Nemesh J, Perkins DO, Purcell SM, Rakofsky JJ, Scolnick EM, Sklar BM, Sklar P, Smoller JW, Sullivan PF, Macciardi F, Marder SR, Gur RC, Gur RE, Braff DL, Nicolini H, Escamilla MA, Vawter MP, Sobell JL, Malaspina D, Lehrer DS, Buckley PF, Rapaport MH, Knowles JA, Fanous AH, Pato MT, McCarroll SA, Pato CN. Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. Mol Psychiatry. 2020 Oct;25(10):2455-2467. doi: 10.1038/s41380-019-0517-y. Epub 2019 Oct 07. PMID: 31591465; PMCID: PMC7515843.
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Genetically modulated educational attainment and coronary disease risk.

European heart journal

Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H.
PMID: 31170283
Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328.

AIMS: Genetic disposition and lifestyle factors are understood as independent components underlying the risk of multiple diseases. In this study, we aim to investigate the interplay between genetics, educational attainment-an important denominator of lifestyle-and coronary artery disease (CAD) risk.METHODS...

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Zeng L, Ntalla I, Kessler T, et al. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019;40(29):2413-2420doi: 10.1093/eurheartj/ehz328.
Zeng, L., Ntalla, I., Kessler, T., Kastrati, A., Erdmann, J., Danesh, J., Watkins, H., Samani, N. J., Deloukas, P., & Schunkert, H. (2019). Genetically modulated educational attainment and coronary disease risk. European heart journal, 40(29), 2413-2420. https://doi.org/10.1093/eurheartj/ehz328
Zeng, Lingyao, et al. "Genetically modulated educational attainment and coronary disease risk." European heart journal vol. 40,29 (2019): 2413-2420. doi: https://doi.org/10.1093/eurheartj/ehz328
Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328. PMID: 31170283; PMCID: PMC6669407.
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The etiology of essential tremor: Genes versus environment.

Parkinsonism & related disorders

Hopfner F, Helmich RC.
PMID: 28735798
Parkinsonism Relat Disord. 2018 Jan;46:S92-S96. doi: 10.1016/j.parkreldis.2017.07.014. Epub 2017 Jul 17.

INTRODUCTION: Essential tremor (ET) is characterized by bilateral upper limb action tremor. Here we review the pathophysiology (cerebral mechanisms) and etiology (genetic and environmental risk factors) of ET.METHODS: We reviewed the literature (until June 2017) by searching PubMed for...

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Hopfner F, Helmich RC. The etiology of essential tremor: Genes versus environment. Parkinsonism Relat Disord. 2017;46:S92-S96doi: 10.1016/j.parkreldis.2017.07.014.
Hopfner, F., & Helmich, R. C. (2018). The etiology of essential tremor: Genes versus environment. Parkinsonism & related disorders, 46S92-S96. https://doi.org/10.1016/j.parkreldis.2017.07.014
Hopfner, Franziska, and Helmich, Rick C. "The etiology of essential tremor: Genes versus environment." Parkinsonism & related disorders vol. 46 (2018): S92-S96. doi: https://doi.org/10.1016/j.parkreldis.2017.07.014
Hopfner F, Helmich RC. The etiology of essential tremor: Genes versus environment. Parkinsonism Relat Disord. 2018 Jan;46:S92-S96. doi: 10.1016/j.parkreldis.2017.07.014. Epub 2017 Jul 17. PMID: 28735798.
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The future of genomic medicine is here.

Genome biology

Karczewski KJ.
PMID: 23651957
Genome Biol. 2013 Mar 27;14(3):304. doi: 10.1186/gb-2013-14-3-304.

A report on the 6th annual Future of Genomic Medicine conference, held at the Scripps Seaside Forum, La Jolla, CA, USA, March 7-8, 2013.

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Karczewski KJ. The future of genomic medicine is here. Genome Biol. 2013;14(3):304doi: 10.1186/gb-2013-14-3-304.
Karczewski, K. J. (2013). The future of genomic medicine is here. Genome biology, 14(3), 304. https://doi.org/10.1186/gb-2013-14-3-304
Karczewski, Konrad J. "The future of genomic medicine is here." Genome biology vol. 14,3 (2013): 304. doi: https://doi.org/10.1186/gb-2013-14-3-304
Karczewski KJ. The future of genomic medicine is here. Genome Biol. 2013 Mar 27;14(3):304. doi: 10.1186/gb-2013-14-3-304. PMID: 23651957; PMCID: PMC3663104.
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SNP-SIG Meeting 2011: identification and annotation of SNPs in the context of structure, function, and disease.

BMC genomics

Bromberg Y, Capriotti E.
PMID: 22759647
BMC Genomics. 2012 Jun 18;13:S1. doi: 10.1186/1471-2164-13-S4-S1.

No abstract available.

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Bromberg Y, Capriotti E. SNP-SIG Meeting 2011: identification and annotation of SNPs in the context of structure, function, and disease. BMC Genomics. 2012;13:S1doi: 10.1186/1471-2164-13-S4-S1.
Bromberg, Y., & Capriotti, E. (2012). SNP-SIG Meeting 2011: identification and annotation of SNPs in the context of structure, function, and disease. BMC genomics, 13S1. https://doi.org/10.1186/1471-2164-13-S4-S1
Bromberg, Yana, and Capriotti, Emidio. "SNP-SIG Meeting 2011: identification and annotation of SNPs in the context of structure, function, and disease." BMC genomics vol. 13 (2012): S1. doi: https://doi.org/10.1186/1471-2164-13-S4-S1
Bromberg Y, Capriotti E. SNP-SIG Meeting 2011: identification and annotation of SNPs in the context of structure, function, and disease. BMC Genomics. 2012 Jun 18;13:S1. doi: 10.1186/1471-2164-13-S4-S1. PMID: 22759647; PMCID: PMC3395891.
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The GoldenGate genotyping assay: custom design, processing, and data analysis.

Methods in molecular biology (Clifton, N.J.)

González-Neira A.
PMID: 23824854
Methods Mol Biol. 2013;1015:147-53. doi: 10.1007/978-1-62703-435-7_9.

The Illumina GoldenGate Assay is a technique that is widely used in molecular genetics to analyze up to thousands of single nucleotide polymorphism (SNPs) simultaneously, providing data of very high quality in a fast and efficient manner. This technique...

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González-Neira A. The GoldenGate genotyping assay: custom design, processing, and data analysis. Methods Mol Biol. 2013;1015:147-53doi: 10.1007/978-1-62703-435-7_9.
González-Neira, A. (2013). The GoldenGate genotyping assay: custom design, processing, and data analysis. Methods in molecular biology (Clifton, N.J.), 1015147-53. https://doi.org/10.1007/978-1-62703-435-7_9
González-Neira, Anna. "The GoldenGate genotyping assay: custom design, processing, and data analysis." Methods in molecular biology (Clifton, N.J.) vol. 1015 (2013): 147-53. doi: https://doi.org/10.1007/978-1-62703-435-7_9
González-Neira A. The GoldenGate genotyping assay: custom design, processing, and data analysis. Methods Mol Biol. 2013;1015:147-53. doi: 10.1007/978-1-62703-435-7_9. PMID: 23824854.
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Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array.

Genomics

Hoffmann TJ, Kvale MN, Hesselson SE, Zhan Y, Aquino C, Cao Y, Cawley S, Chung E, Connell S, Eshragh J, Ewing M, Gollub J, Henderson M, Hubbell E, Iribarren C, Kaufman J, Lao RZ, Lu Y, Ludwig D, Mathauda GK, McGuire W, Mei G, Miles S, Purdy MM, Quesenberry C, Ranatunga D, Rowell S, Sadler M, Shapero MH, Shen L, Shenoy TR, Smethurst D, Van den Eeden SK, Walter L, Wan E, Wearley R, Webster T, Wen CC, Weng L, Whitmer RA, Williams A, Wong SC, Zau C, Finn A, Schaefer C, Kwok PY, Risch N.
PMID: 21565264
Genomics. 2011 Aug;98(2):79-89. doi: 10.1016/j.ygeno.2011.04.005. Epub 2011 Apr 30.

The success of genome-wide association studies has paralleled the development of efficient genotyping technologies. We describe the development of a next-generation microarray based on the new highly-efficient Affymetrix Axiom genotyping technology that we are using to genotype individuals of...

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Hoffmann TJ, Kvale MN, Hesselson SE, et al. Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array. Genomics. 2011;98(2):79-89doi: 10.1016/j.ygeno.2011.04.005.
Hoffmann, T. J., Kvale, M. N., Hesselson, S. E., Zhan, Y., Aquino, C., Cao, Y., Cawley, S., Chung, E., Connell, S., Eshragh, J., Ewing, M., Gollub, J., Henderson, M., Hubbell, E., Iribarren, C., Kaufman, J., Lao, R. Z., Lu, Y., Ludwig, D., Mathauda, G. K., McGuire, W., Mei, G., Miles, S., Purdy, M. M., Quesenberry, C., Ranatunga, D., Rowell, S., Sadler, M., Shapero, M. H., Shen, L., Shenoy, T. R., Smethurst, D., Van den Eeden, S. K., Walter, L., Wan, E., Wearley, R., Webster, T., Wen, C. C., Weng, L., Whitmer, R. A., Williams, A., Wong, S. C., Zau, C., Finn, A., Schaefer, C., Kwok, P. Y., & Risch, N. (2011). Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array. Genomics, 98(2), 79-89. https://doi.org/10.1016/j.ygeno.2011.04.005
Hoffmann, Thomas J, et al. "Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array." Genomics vol. 98,2 (2011): 79-89. doi: https://doi.org/10.1016/j.ygeno.2011.04.005
Hoffmann TJ, Kvale MN, Hesselson SE, Zhan Y, Aquino C, Cao Y, Cawley S, Chung E, Connell S, Eshragh J, Ewing M, Gollub J, Henderson M, Hubbell E, Iribarren C, Kaufman J, Lao RZ, Lu Y, Ludwig D, Mathauda GK, McGuire W, Mei G, Miles S, Purdy MM, Quesenberry C, Ranatunga D, Rowell S, Sadler M, Shapero MH, Shen L, Shenoy TR, Smethurst D, Van den Eeden SK, Walter L, Wan E, Wearley R, Webster T, Wen CC, Weng L, Whitmer RA, Williams A, Wong SC, Zau C, Finn A, Schaefer C, Kwok PY, Risch N. Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array. Genomics. 2011 Aug;98(2):79-89. doi: 10.1016/j.ygeno.2011.04.005. Epub 2011 Apr 30. PMID: 21565264; PMCID: PMC3146553.
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[Genome-wide SNP typing].

Nihon rinsho. Japanese journal of clinical medicine

Isomura M.
PMID: 20979278
Nihon Rinsho. 2010 Aug;68:227-33.

No abstract available.

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Isomura M. [Genome-wide SNP typing]. Nihon Rinsho. 2010;68:227-33
Isomura, M. (2010). [Genome-wide SNP typing]. Nihon rinsho. Japanese journal of clinical medicine, 68227-33.
Isomura, Minoru. "[Genome-wide SNP typing]." Nihon rinsho. Japanese journal of clinical medicine vol. 68 (2010): 227-33.
Isomura M. [Genome-wide SNP typing]. Nihon Rinsho. 2010 Aug;68:227-33. Japanese. PMID: 20979278.
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