Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 13 to 24 of 108 entries
Sorted by: Best Match Show Resources per page
[Human genetic susceptibility to tuberculosis].

Nihon rinsho. Japanese journal of clinical medicine

Keicho N, Hijikata M, Sakurada S.
PMID: 21838030
Nihon Rinsho. 2011 Aug;69(8):1363-7.

Similar to common diseases such as diabetes and hypertension, tuberculosis is a disease in which genetic predisposition is deeply involved. Linkage analysis, candidate gene association studies and animal models have been used to determine disease susceptibility genes to tuberculosis....

Cite
Keicho N, Hijikata M, Sakurada S. [Human genetic susceptibility to tuberculosis]. Nihon Rinsho. 2011;69(8):1363-7
Keicho, N., Hijikata, M., & Sakurada, S. (2011). [Human genetic susceptibility to tuberculosis]. Nihon rinsho. Japanese journal of clinical medicine, 69(8), 1363-7.
Keicho, Naoto, et al. "[Human genetic susceptibility to tuberculosis]." Nihon rinsho. Japanese journal of clinical medicine vol. 69,8 (2011): 1363-7.
Keicho N, Hijikata M, Sakurada S. [Human genetic susceptibility to tuberculosis]. Nihon Rinsho. 2011 Aug;69(8):1363-7. Japanese. PMID: 21838030.
Copy Download .nbib Format: NLM
Distribution of disease-associated copy number variants across distinct disorders of cognitive development.

Journal of the American Academy of Child and Adolescent Psychiatry

Pescosolido MF, Gamsiz ED, Nagpal S, Morrow EM.
PMID: 23582872
J Am Acad Child Adolesc Psychiatry. 2013 Apr;52(4):414-430.e14. doi: 10.1016/j.jaac.2013.01.003.

OBJECTIVE: The purpose of the present study was to discover the extent to which distinct DSM disorders share large, highly recurrent copy number variants (CNVs) as susceptibility factors. We also sought to identify gene mechanisms common to groups of...

Cite
Pescosolido MF, Gamsiz ED, Nagpal S, et al. Distribution of disease-associated copy number variants across distinct disorders of cognitive development. J Am Acad Child Adolesc Psychiatry. 2013;52(4):414-430.e14doi: 10.1016/j.jaac.2013.01.003.
Pescosolido, M. F., Gamsiz, E. D., Nagpal, S., & Morrow, E. M. (2013). Distribution of disease-associated copy number variants across distinct disorders of cognitive development. Journal of the American Academy of Child and Adolescent Psychiatry, 52(4), 414-430.e14. https://doi.org/10.1016/j.jaac.2013.01.003
Pescosolido, Matthew F, et al. "Distribution of disease-associated copy number variants across distinct disorders of cognitive development." Journal of the American Academy of Child and Adolescent Psychiatry vol. 52,4 (2013): 414-430.e14. doi: https://doi.org/10.1016/j.jaac.2013.01.003
Pescosolido MF, Gamsiz ED, Nagpal S, Morrow EM. Distribution of disease-associated copy number variants across distinct disorders of cognitive development. J Am Acad Child Adolesc Psychiatry. 2013 Apr;52(4):414-430.e14. doi: 10.1016/j.jaac.2013.01.003. PMID: 23582872; PMCID: PMC3774163.
Copy Download .nbib Format: NLM
SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction.

BioMed research international

Li X, Lin Y, Gu C, Li Z.
PMID: 29750163
Biomed Res Int. 2018 Mar 21;2018:5747489. doi: 10.1155/2018/5747489. eCollection 2018.

Aberrant expression of microRNAs (miRNAs) can be applied for the diagnosis, prognosis, and treatment of human diseases. Identifying the relationship between miRNA and human disease is important to further investigate the pathogenesis of human diseases. However, experimental identification of...

Cite
Li X, Lin Y, Gu C, et al. SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction. Biomed Res Int. 2018;2018:5747489doi: 10.1155/2018/5747489.
Li, X., Lin, Y., Gu, C., & Li, Z. (2018). SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction. BioMed research international, 20185747489. https://doi.org/10.1155/2018/5747489
Li, Xiaoying, et al. "SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction." BioMed research international vol. 2018 (2018): 5747489. doi: https://doi.org/10.1155/2018/5747489
Li X, Lin Y, Gu C, Li Z. SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction. Biomed Res Int. 2018 Mar 21;2018:5747489. doi: 10.1155/2018/5747489. eCollection 2018. PMID: 29750163; PMCID: PMC5884242.
Copy Download .nbib Format: NLM
A systematic review and critical appraisal of gene polymorphism association studies in medication-overuse headache.

Cephalalgia : an international journal of headache

Cargnin S, Viana M, Sances G, Tassorelli C, Terrazzino S.
PMID: 28870085
Cephalalgia. 2018 Jun;38(7):1361-1373. doi: 10.1177/0333102417728244. Epub 2017 Sep 04.

Purpose of review Medication-overuse headache is a secondary chronic headache disorder, evolving from an episodic primary headache type, caused by the frequent and excessive use of headache symptomatic drugs. While gene polymorphisms have been deeply investigated as susceptibility factors...

Cite
Cargnin S, Viana M, Sances G, et al. A systematic review and critical appraisal of gene polymorphism association studies in medication-overuse headache. Cephalalgia. 2017;38(7):1361-1373doi: 10.1177/0333102417728244.
Cargnin, S., Viana, M., Sances, G., Tassorelli, C., & Terrazzino, S. (2018). A systematic review and critical appraisal of gene polymorphism association studies in medication-overuse headache. Cephalalgia : an international journal of headache, 38(7), 1361-1373. https://doi.org/10.1177/0333102417728244
Cargnin, Sarah, et al. "A systematic review and critical appraisal of gene polymorphism association studies in medication-overuse headache." Cephalalgia : an international journal of headache vol. 38,7 (2018): 1361-1373. doi: https://doi.org/10.1177/0333102417728244
Cargnin S, Viana M, Sances G, Tassorelli C, Terrazzino S. A systematic review and critical appraisal of gene polymorphism association studies in medication-overuse headache. Cephalalgia. 2018 Jun;38(7):1361-1373. doi: 10.1177/0333102417728244. Epub 2017 Sep 04. PMID: 28870085.
Copy Download .nbib Format: NLM
The genomics of schizophrenia: Shortcomings and solutions.

Progress in neuro-psychopharmacology & biological psychiatry

Zhuo C, Hou W, Li G, Mao F, Li S, Lin X, Jiang D, Xu Y, Tian H, Wang W, Cheng L.
PMID: 30904563
Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jul 13;93:71-76. doi: 10.1016/j.pnpbp.2019.03.009. Epub 2019 Mar 20.

Due to recent advances in human genomic technologies, there have been explosive interests and extensive research on the genomics of schizophrenia, a severe psychiatric disorder characterized by social cognitive deficits, hallucinations, and delusions. These new technologies, including next-generation sequencing...

Cite
Zhuo C, Hou W, Li G, et al. The genomics of schizophrenia: Shortcomings and solutions. Prog Neuropsychopharmacol Biol Psychiatry. 2019;93:71-76doi: 10.1016/j.pnpbp.2019.03.009.
Zhuo, C., Hou, W., Li, G., Mao, F., Li, S., Lin, X., Jiang, D., Xu, Y., Tian, H., Wang, W., & Cheng, L. (2019). The genomics of schizophrenia: Shortcomings and solutions. Progress in neuro-psychopharmacology & biological psychiatry, 9371-76. https://doi.org/10.1016/j.pnpbp.2019.03.009
Zhuo, Chuanjun, et al. "The genomics of schizophrenia: Shortcomings and solutions." Progress in neuro-psychopharmacology & biological psychiatry vol. 93 (2019): 71-76. doi: https://doi.org/10.1016/j.pnpbp.2019.03.009
Zhuo C, Hou W, Li G, Mao F, Li S, Lin X, Jiang D, Xu Y, Tian H, Wang W, Cheng L. The genomics of schizophrenia: Shortcomings and solutions. Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jul 13;93:71-76. doi: 10.1016/j.pnpbp.2019.03.009. Epub 2019 Mar 20. PMID: 30904563.
Copy Download .nbib Format: NLM
Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs.

International journal of molecular sciences

Ohi K, Sumiyoshi C, Fujino H, Yasuda Y, Yamamori H, Fujimoto M, Shiino T, Sumiyoshi T, Hashimoto R.
PMID: 30513630
Int J Mol Sci. 2018 Nov 30;19(12). doi: 10.3390/ijms19123822.

General cognitive (intelligence) function is substantially heritable, and is a major determinant of economic and health-related life outcomes. Cognitive impairments and intelligence decline are core features of schizophrenia which are evident before the onset of the illness. Genetic overlaps...

Cite
Ohi K, Sumiyoshi C, Fujino H, et al. Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs. Int J Mol Sci. 2018;19(12)doi: 10.3390/ijms19123822.
Ohi, K., Sumiyoshi, C., Fujino, H., Yasuda, Y., Yamamori, H., Fujimoto, M., Shiino, T., Sumiyoshi, T., & Hashimoto, R. (2018). Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs. International journal of molecular sciences, 19(12), . https://doi.org/10.3390/ijms19123822
Ohi, Kazutaka, et al. "Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs." International journal of molecular sciences vol. 19,12 (2018). doi: https://doi.org/10.3390/ijms19123822
Ohi K, Sumiyoshi C, Fujino H, Yasuda Y, Yamamori H, Fujimoto M, Shiino T, Sumiyoshi T, Hashimoto R. Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs. Int J Mol Sci. 2018 Nov 30;19(12). doi: 10.3390/ijms19123822. PMID: 30513630; PMCID: PMC6320986.
Copy Download .nbib Format: NLM
Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.

International journal of cancer

Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H.
PMID: 31577861
Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31.

Genome-wide association studies (GWAS) have identified 45 susceptibility loci associated with lung cancer. Only less than SNPs, small insertions and deletions (INDELs) are the second most abundant genetic polymorphisms in the human genome. INDELs are highly associated with multiple...

Cite
Dai J, Huang M, Amos CI, et al. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2019;146(10):2855-2864doi: 10.1002/ijc.32698.
Dai, J., Huang, M., Amos, C. I., Hung, R. J., Tardon, A., Andrew, A., Chen, C., Christiani, D. C., Albanes, D., Rennert, G., Fan, J., Goodman, G., Liu, G., Field, J. K., Grankvist, K., Kiemeney, L. A., Le Marchand, L., Schabath, M. B., Johansson, M., Aldrich, M. C., Johansson, M., Caporaso, N., Lazarus, P., Lam, S., Bojesen, S. E., Arnold, S., Landi, M. T., Risch, A., Wichmann, H. E., Bickeboller, H., Brennan, P., Shete, S., Melander, O., Brunnstrom, H., Zienolddiny, S., Woll, P., Stevens, V., Hu, Z., & Shen, H. (2020). Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. International journal of cancer, 146(10), 2855-2864. https://doi.org/10.1002/ijc.32698
Dai, Juncheng, et al. "Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk." International journal of cancer vol. 146,10 (2020): 2855-2864. doi: https://doi.org/10.1002/ijc.32698
Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31. PMID: 31577861; PMCID: PMC7101262.
Copy Download .nbib Format: NLM
Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease.

Scientific reports

Miao X, Chen X, Xie Z, Lin H.
PMID: 30065343
Sci Rep. 2018 Jul 31;8(1):11492. doi: 10.1038/s41598-018-29904-7.

Coronary artery disease (CAD) is a leading cause of death worldwide. Recent genome-wide association studies have identified more than one hundred susceptibility loci associated with CAD. However, the underlying mechanism of these genetic loci to CAD susceptibility is still...

Cite
Miao X, Chen X, Xie Z, et al. Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Sci Rep. 2018;8(1):11492doi: 10.1038/s41598-018-29904-7.
Miao, X., Chen, X., Xie, Z., & Lin, H. (2018). Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Scientific reports, 8(1), 11492. https://doi.org/10.1038/s41598-018-29904-7
Miao, Xiao, et al. "Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease." Scientific reports vol. 8,1 (2018): 11492. doi: https://doi.org/10.1038/s41598-018-29904-7
Miao X, Chen X, Xie Z, Lin H. Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Sci Rep. 2018 Jul 31;8(1):11492. doi: 10.1038/s41598-018-29904-7. PMID: 30065343; PMCID: PMC6068195.
Copy Download .nbib Format: NLM
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.
Copy Download .nbib Format: NLM
Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus.

Nutrients

Gkouskou K, Lazou E, Skoufas E, Eliopoulos AG.
PMID: 33503923
Nutrients. 2021 Jan 25;13(2). doi: 10.3390/nu13020355.

The current consensus for the prevention and management of type 2 diabetes mellitus (T2DM) is that high-quality diets and adherence to a healthy lifestyle provide significant health benefits. Remarkably, however, there is little agreement on the proportions of macronutrients...

Cite
Gkouskou K, Lazou E, Skoufas E, et al. Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus. Nutrients. 2021;13(2)doi: 10.3390/nu13020355.
Gkouskou, K., Lazou, E., Skoufas, E., & Eliopoulos, A. G. (2021). Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus. Nutrients, 13(2), . https://doi.org/10.3390/nu13020355
Gkouskou, Kalliopi, et al. "Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus." Nutrients vol. 13,2 (2021). doi: https://doi.org/10.3390/nu13020355
Gkouskou K, Lazou E, Skoufas E, Eliopoulos AG. Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus. Nutrients. 2021 Jan 25;13(2). doi: 10.3390/nu13020355. PMID: 33503923; PMCID: PMC7912380.
Copy Download .nbib Format: NLM
Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci.

Communications biology

Qu HQ, Qu J, Bradfield J, Marchand L, Glessner J, Chang X, March M, Li J, Connolly JJ, Roizen JD, Sleiman P, Polychronakos C, Hakonarson H.
PMID: 34302048
Commun Biol. 2021 Jul 23;4(1):908. doi: 10.1038/s42003-021-02368-8.

Type 1 diabetes (T1D) patients with low genetic risk scores (GRS) may be non-autoimmune or autoimmune mediated by other genetic loci. The T1D-GRS2 provides us an opportunity to look into the genetic architecture of these patients. A total of...

Cite
Qu HQ, Qu J, Bradfield J, et al. Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci. Commun Biol. 2021;4(1):908doi: 10.1038/s42003-021-02368-8.
Qu, H. Q., Qu, J., Bradfield, J., Marchand, L., Glessner, J., Chang, X., March, M., Li, J., Connolly, J. J., Roizen, J. D., Sleiman, P., Polychronakos, C., & Hakonarson, H. (2021). Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci. Communications biology, 4(1), 908. https://doi.org/10.1038/s42003-021-02368-8
Qu, Hui-Qi, et al. "Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci." Communications biology vol. 4,1 (2021): 908. doi: https://doi.org/10.1038/s42003-021-02368-8
Qu HQ, Qu J, Bradfield J, Marchand L, Glessner J, Chang X, March M, Li J, Connolly JJ, Roizen JD, Sleiman P, Polychronakos C, Hakonarson H. Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci. Commun Biol. 2021 Jul 23;4(1):908. doi: 10.1038/s42003-021-02368-8. PMID: 34302048; PMCID: PMC8302754.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
Showing 13 to 24 of 108 entries