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[Fine mapping of complex disease susceptibility loci].

Yi chuan = Hereditas

Song Q, Zhang H, Ma Y, Zhou G.
PMID: 24846913
Yi Chuan. 2014 Jan;36(1):2-10. doi: 10.3724/sp.j.1005.2014.00002.

Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers have identified more than 3800 susceptibility loci for more than 660 diseases or traits. However, the most significantly associated variants or causative variants in these loci and their biological...

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Song Q, Zhang H, Ma Y, et al. [Fine mapping of complex disease susceptibility loci]. Yi Chuan. 2014;36(1):2-10doi: 10.3724/sp.j.1005.2014.00002.
Song, Q., Zhang, H., Ma, Y., & Zhou, G. (2014). [Fine mapping of complex disease susceptibility loci]. Yi chuan = Hereditas, 36(1), 2-10. https://doi.org/10.3724/sp.j.1005.2014.00002
Song, Qingfeng, et al. "[Fine mapping of complex disease susceptibility loci]." Yi chuan = Hereditas vol. 36,1 (2014): 2-10. doi: https://doi.org/10.3724/sp.j.1005.2014.00002
Song Q, Zhang H, Ma Y, Zhou G. [Fine mapping of complex disease susceptibility loci]. Yi Chuan. 2014 Jan;36(1):2-10. doi: 10.3724/sp.j.1005.2014.00002. Chinese. PMID: 24846913.
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Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet.

PloS one

Basava RK, Hash CT, Mahendrakar MD, Kishor P B K, Satyavathi CT, Kumar S, Singh RB, Yadav RS, Gupta R, Srivastava RK.
PMID: 31461465
PLoS One. 2019 Aug 28;14(8):e0218916. doi: 10.1371/journal.pone.0218916. eCollection 2019.

Pearl millet is an important crop for arid and semi-arid regions of the world. Genomic regions associated with combining ability for yield-related traits under irrigated and drought conditions are useful in heterosis breeding programs. Chromosome segment substitution lines (CSSLs)...

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Basava RK, Hash CT, Mahendrakar MD, et al. Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet. PLoS One. 2019;14(8):e0218916doi: 10.1371/journal.pone.0218916.
Basava, R. K., Hash, C. T., Mahendrakar, M. D., Kishor P B, K., Satyavathi, C. T., Kumar, S., Singh, R. B., Yadav, R. S., Gupta, R., & Srivastava, R. K. (2019). Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet. PloS one, 14(8), e0218916. https://doi.org/10.1371/journal.pone.0218916
Basava, Ramana Kumari, et al. "Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet." PloS one vol. 14,8 (2019): e0218916. doi: https://doi.org/10.1371/journal.pone.0218916
Basava RK, Hash CT, Mahendrakar MD, Kishor P B K, Satyavathi CT, Kumar S, Singh RB, Yadav RS, Gupta R, Srivastava RK. Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet. PLoS One. 2019 Aug 28;14(8):e0218916. doi: 10.1371/journal.pone.0218916. eCollection 2019. PMID: 31461465; PMCID: PMC6713397.
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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...

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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.
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CasLocusAnno: a web-based server for annotating cas loci and their corresponding (sub)types.

FEBS letters

Dong C, Zeng Z, Pu DK, Wen QF, Liu S, Du MZ, Sun Y, Gao YZ, Rao N, Huang J, Guo FB.
PMID: 31260103
FEBS Lett. 2019 Sep;593(18):2646-2654. doi: 10.1002/1873-3468.13519. Epub 2019 Jul 17.

In prokaryotes, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated protein (Cas) systems constitute adaptive immune systems against mobile genetic elements (MGEs). Here, we introduce the Markov cluster algorithm (MCL) to Makarova et al.'s method in order to...

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Dong C, Zeng Z, Pu DK, et al. CasLocusAnno: a web-based server for annotating cas loci and their corresponding (sub)types. FEBS Lett. 2019;593(18):2646-2654doi: 10.1002/1873-3468.13519.
Dong, C., Zeng, Z., Pu, D. K., Wen, Q. F., Liu, S., Du, M. Z., Sun, Y., Gao, Y. Z., Rao, N., Huang, J., & Guo, F. B. (2019). CasLocusAnno: a web-based server for annotating cas loci and their corresponding (sub)types. FEBS letters, 593(18), 2646-2654. https://doi.org/10.1002/1873-3468.13519
Dong, Chuan, et al. "CasLocusAnno: a web-based server for annotating cas loci and their corresponding (sub)types." FEBS letters vol. 593,18 (2019): 2646-2654. doi: https://doi.org/10.1002/1873-3468.13519
Dong C, Zeng Z, Pu DK, Wen QF, Liu S, Du MZ, Sun Y, Gao YZ, Rao N, Huang J, Guo FB. CasLocusAnno: a web-based server for annotating cas loci and their corresponding (sub)types. FEBS Lett. 2019 Sep;593(18):2646-2654. doi: 10.1002/1873-3468.13519. Epub 2019 Jul 17. PMID: 31260103.
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Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.

Neuron

Sanders SJ, He X, Willsey AJ, Ercan-Sencicek AG, Samocha KE, Cicek AE, Murtha MT, Bal VH, Bishop SL, Dong S, Goldberg AP, Jinlu C, Keaney JF, Klei L, Mandell JD, Moreno-De-Luca D, Poultney CS, Robinson EB, Smith L, Solli-Nowlan T, Su MY, Teran NA, Walker MF, Werling DM, Beaudet AL, Cantor RM, Fombonne E, Geschwind DH, Grice DE, Lord C, Lowe JK, Mane SM, Martin DM, Morrow EM, Talkowski ME, Sutcliffe JS, Walsh CA, Yu TW, Ledbetter DH, Martin CL, Cook EH, Buxbaum JD, Daly MJ, Devlin B, Roeder K, State MW.
PMID: 26402605
Neuron. 2015 Sep 23;87(6):1215-1233. doi: 10.1016/j.neuron.2015.09.016.

Analysis of de novo CNVs (dnCNVs) from the full Simons Simplex Collection (SSC) (N = 2,591 families) replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci (1q21.1, 3q29, 7q11.23, 16p11.2, 15q11.2-13, and...

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Sanders SJ, He X, Willsey AJ, et al. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci. Neuron. 2015;87(6):1215-1233doi: 10.1016/j.neuron.2015.09.016.
Sanders, S. J., He, X., Willsey, A. J., Ercan-Sencicek, A. G., Samocha, K. E., Cicek, A. E., Murtha, M. T., Bal, V. H., Bishop, S. L., Dong, S., Goldberg, A. P., Jinlu, C., Keaney, J. F., Klei, L., Mandell, J. D., Moreno-De-Luca, D., Poultney, C. S., Robinson, E. B., Smith, L., Solli-Nowlan, T., Su, M. Y., Teran, N. A., Walker, M. F., Werling, D. M., Beaudet, A. L., Cantor, R. M., Fombonne, E., Geschwind, D. H., Grice, D. E., Lord, C., Lowe, J. K., Mane, S. M., Martin, D. M., Morrow, E. M., Talkowski, M. E., Sutcliffe, J. S., Walsh, C. A., Yu, T. W., Ledbetter, D. H., Martin, C. L., Cook, E. H., Buxbaum, J. D., Daly, M. J., Devlin, B., Roeder, K., & State, M. W. (2015). Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci. Neuron, 87(6), 1215-1233. https://doi.org/10.1016/j.neuron.2015.09.016
Sanders, Stephan J, et al. "Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci." Neuron vol. 87,6 (2015): 1215-1233. doi: https://doi.org/10.1016/j.neuron.2015.09.016
Sanders SJ, He X, Willsey AJ, Ercan-Sencicek AG, Samocha KE, Cicek AE, Murtha MT, Bal VH, Bishop SL, Dong S, Goldberg AP, Jinlu C, Keaney JF, Klei L, Mandell JD, Moreno-De-Luca D, Poultney CS, Robinson EB, Smith L, Solli-Nowlan T, Su MY, Teran NA, Walker MF, Werling DM, Beaudet AL, Cantor RM, Fombonne E, Geschwind DH, Grice DE, Lord C, Lowe JK, Mane SM, Martin DM, Morrow EM, Talkowski ME, Sutcliffe JS, Walsh CA, Yu TW, Ledbetter DH, Martin CL, Cook EH, Buxbaum JD, Daly MJ, Devlin B, Roeder K, State MW. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci. Neuron. 2015 Sep 23;87(6):1215-1233. doi: 10.1016/j.neuron.2015.09.016. PMID: 26402605; PMCID: PMC4624267.
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The power to detect recent fragmentation events using genetic differentiation methods.

PloS one

Lloyd MW, Campbell L, Neel MC.
PMID: 23704965
PLoS One. 2013 May 21;8(5):e63981. doi: 10.1371/journal.pone.0063981. Print 2013.

Habitat loss and fragmentation are imminent threats to biological diversity worldwide and thus are fundamental issues in conservation biology. Increased isolation alone has been implicated as a driver of negative impacts in populations associated with fragmented landscapes. Genetic monitoring...

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Lloyd MW, Campbell L, Neel MC. The power to detect recent fragmentation events using genetic differentiation methods. PLoS One. 2013;8(5):e63981doi: 10.1371/journal.pone.0063981.
Lloyd, M. W., Campbell, L., & Neel, M. C. (2013). The power to detect recent fragmentation events using genetic differentiation methods. PloS one, 8(5), e63981. https://doi.org/10.1371/journal.pone.0063981
Lloyd, Michael W, et al. "The power to detect recent fragmentation events using genetic differentiation methods." PloS one vol. 8,5 (2013): e63981. doi: https://doi.org/10.1371/journal.pone.0063981
Lloyd MW, Campbell L, Neel MC. The power to detect recent fragmentation events using genetic differentiation methods. PLoS One. 2013 May 21;8(5):e63981. doi: 10.1371/journal.pone.0063981. Print 2013. PMID: 23704965; PMCID: PMC3660580.
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Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease.

PLoS genetics

Do CB, Tung JY, Dorfman E, Kiefer AK, Drabant EM, Francke U, Mountain JL, Goldman SM, Tanner CM, Langston JW, Wojcicki A, Eriksson N.
PMID: 21738487
PLoS Genet. 2011 Jun;7(6):e1002141. doi: 10.1371/journal.pgen.1002141. Epub 2011 Jun 23.

Although the causes of Parkinson's disease (PD) are thought to be primarily environmental, recent studies suggest that a number of genes influence susceptibility. Using targeted case recruitment and online survey instruments, we conducted the largest case-control genome-wide association study...

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Do CB, Tung JY, Dorfman E, et al. Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease. PLoS Genet. 2011;7(6):e1002141doi: 10.1371/journal.pgen.1002141.
Do, C. B., Tung, J. Y., Dorfman, E., Kiefer, A. K., Drabant, E. M., Francke, U., Mountain, J. L., Goldman, S. M., Tanner, C. M., Langston, J. W., Wojcicki, A., & Eriksson, N. (2011). Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease. PLoS genetics, 7(6), e1002141. https://doi.org/10.1371/journal.pgen.1002141
Do, Chuong B, et al. "Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease." PLoS genetics vol. 7,6 (2011): e1002141. doi: https://doi.org/10.1371/journal.pgen.1002141
Do CB, Tung JY, Dorfman E, Kiefer AK, Drabant EM, Francke U, Mountain JL, Goldman SM, Tanner CM, Langston JW, Wojcicki A, Eriksson N. Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease. PLoS Genet. 2011 Jun;7(6):e1002141. doi: 10.1371/journal.pgen.1002141. Epub 2011 Jun 23. PMID: 21738487; PMCID: PMC3121750.
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Identification of novel therapeutics for complex diseases from genome-wide association data.

BMC medical genomics

Grover MP, Ballouz S, Mohanasundaram KA, George RA, Sherman CD, Crowley TM, Wouters MA.
PMID: 25077696
BMC Med Genomics. 2014;7:S8. doi: 10.1186/1755-8794-7-S1-S8. Epub 2014 May 08.

BACKGROUND: Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively translate this data to the clinic has not kept pace. Over the past 60 years, pharmaceutical companies have successfully demonstrated the...

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Grover MP, Ballouz S, Mohanasundaram KA, et al. Identification of novel therapeutics for complex diseases from genome-wide association data. BMC Med Genomics. 2014;7:S8doi: 10.1186/1755-8794-7-S1-S8.
Grover, M. P., Ballouz, S., Mohanasundaram, K. A., George, R. A., Sherman, C. D., Crowley, T. M., & Wouters, M. A. (2014). Identification of novel therapeutics for complex diseases from genome-wide association data. BMC medical genomics, 7S8. https://doi.org/10.1186/1755-8794-7-S1-S8
Grover, Mani P, et al. "Identification of novel therapeutics for complex diseases from genome-wide association data." BMC medical genomics vol. 7 (2014): S8. doi: https://doi.org/10.1186/1755-8794-7-S1-S8
Grover MP, Ballouz S, Mohanasundaram KA, George RA, Sherman CD, Crowley TM, Wouters MA. Identification of novel therapeutics for complex diseases from genome-wide association data. BMC Med Genomics. 2014;7:S8. doi: 10.1186/1755-8794-7-S1-S8. Epub 2014 May 08. PMID: 25077696; PMCID: PMC4101352.
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Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis.

The Lancet. Respiratory medicine

Cho MH, McDonald ML, Zhou X, Mattheisen M, Castaldi PJ, Hersh CP, Demeo DL, Sylvia JS, Ziniti J, Laird NM, Lange C, Litonjua AA, Sparrow D, Casaburi R, Barr RG, Regan EA, Make BJ, Hokanson JE, Lutz S, Dudenkov TM, Farzadegan H, Hetmanski JB, Tal-Singer R, Lomas DA, Bakke P, Gulsvik A, Crapo JD, Silverman EK, Beaty TH.
PMID: 24621683
Lancet Respir Med. 2014 Mar;2(3):214-25. doi: 10.1016/S2213-2600(14)70002-5. Epub 2014 Feb 07.

BACKGROUND: The genetic risk factors for susceptibility to chronic obstructive pulmonary disease (COPD) are still largely unknown. Additional genetic variants are likely to be identified by genome-wide association studies in larger cohorts or specific subgroups. We sought to identify...

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Cho MH, McDonald ML, Zhou X, et al. Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis. Lancet Respir Med. 2014;2(3):214-25doi: 10.1016/S2213-2600(14)70002-5.
Cho, M. H., McDonald, M. L., Zhou, X., Mattheisen, M., Castaldi, P. J., Hersh, C. P., Demeo, D. L., Sylvia, J. S., Ziniti, J., Laird, N. M., Lange, C., Litonjua, A. A., Sparrow, D., Casaburi, R., Barr, R. G., Regan, E. A., Make, B. J., Hokanson, J. E., Lutz, S., Dudenkov, T. M., Farzadegan, H., Hetmanski, J. B., Tal-Singer, R., Lomas, D. A., Bakke, P., Gulsvik, A., Crapo, J. D., Silverman, E. K., Beaty, T. H. (2014). Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis. The Lancet. Respiratory medicine, 2(3), 214-25. https://doi.org/10.1016/S2213-2600(14)70002-5
Cho, Michael H, et al. "Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis." The Lancet. Respiratory medicine vol. 2,3 (2014): 214-25. doi: https://doi.org/10.1016/S2213-2600(14)70002-5
Cho MH, McDonald ML, Zhou X, Mattheisen M, Castaldi PJ, Hersh CP, Demeo DL, Sylvia JS, Ziniti J, Laird NM, Lange C, Litonjua AA, Sparrow D, Casaburi R, Barr RG, Regan EA, Make BJ, Hokanson JE, Lutz S, Dudenkov TM, Farzadegan H, Hetmanski JB, Tal-Singer R, Lomas DA, Bakke P, Gulsvik A, Crapo JD, Silverman EK, Beaty TH. Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis. Lancet Respir Med. 2014 Mar;2(3):214-25. doi: 10.1016/S2213-2600(14)70002-5. Epub 2014 Feb 07. PMID: 24621683; PMCID: PMC4176924.
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Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutk.

Urologic oncology

Olumi AF.
PMID: 24445293
Urol Oncol. 2014 Feb;32(2):211. doi: 10.1016/j.urolonc.2013.08.019.

Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom Illumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and...

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Olumi AF. Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutk. Urol Oncol. 2014;32(2):211doi: 10.1016/j.urolonc.2013.08.019.
Olumi, A. F. (2014). Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutk. Urologic oncology, 32(2), 211. https://doi.org/10.1016/j.urolonc.2013.08.019
Olumi, Aria F. "Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutk." Urologic oncology vol. 32,2 (2014): 211. doi: https://doi.org/10.1016/j.urolonc.2013.08.019
Olumi AF. Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutk. Urol Oncol. 2014 Feb;32(2):211. doi: 10.1016/j.urolonc.2013.08.019. PMID: 24445293.
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The DisGeNET knowledge platform for disease genomics: 2019 update.

Nucleic acids research

Piñero J, Ramírez-Anguita JM, Saüch-Pitarch J, Ronzano F, Centeno E, Sanz F, Furlong LI.
PMID: 31680165
Nucleic Acids Res. 2020 Jan 08;48:D845-D855. doi: 10.1093/nar/gkz1021.

One of the most pressing challenges in genomic medicine is to understand the role played by genetic variation in health and disease. Thanks to the exploration of genomic variants at large scale, hundreds of thousands of disease-associated loci have...

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Piñero J, Ramírez-Anguita JM, Saüch-Pitarch J, et al. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Res. 2020;48:D845-D855doi: 10.1093/nar/gkz1021.
Piñero, J., Ramírez-Anguita, J. M., Saüch-Pitarch, J., Ronzano, F., Centeno, E., Sanz, F., & Furlong, L. I. (2020). The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic acids research, 48D845-D855. https://doi.org/10.1093/nar/gkz1021
Piñero, Janet, et al. "The DisGeNET knowledge platform for disease genomics: 2019 update." Nucleic acids research vol. 48 (2020): D845-D855. doi: https://doi.org/10.1093/nar/gkz1021
Piñero J, Ramírez-Anguita JM, Saüch-Pitarch J, Ronzano F, Centeno E, Sanz F, Furlong LI. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Res. 2020 Jan 08;48:D845-D855. doi: 10.1093/nar/gkz1021. PMID: 31680165; PMCID: PMC7145631.
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The great hairball gambit.

PLoS genetics

Flint J, Ideker T.
PMID: 31770365
PLoS Genet. 2019 Nov 26;15(11):e1008519. doi: 10.1371/journal.pgen.1008519. eCollection 2019 Nov.

No abstract available.

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Flint J, Ideker T. The great hairball gambit. PLoS Genet. 2019;15(11):e1008519doi: 10.1371/journal.pgen.1008519.
Flint, J., & Ideker, T. (2019). The great hairball gambit. PLoS genetics, 15(11), e1008519. https://doi.org/10.1371/journal.pgen.1008519
Flint, Jonathan, and Ideker, Trey. "The great hairball gambit." PLoS genetics vol. 15,11 (2019): e1008519. doi: https://doi.org/10.1371/journal.pgen.1008519
Flint J, Ideker T. The great hairball gambit. PLoS Genet. 2019 Nov 26;15(11):e1008519. doi: 10.1371/journal.pgen.1008519. eCollection 2019 Nov. PMID: 31770365; PMCID: PMC6910700.
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