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Showing 121 to 131 of 131 entries
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FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects.

Bioinformatics (Oxford, England)

Kim EE, Lee S, Lee CH, Oh H, Song K, Han B.
PMID: 29036405
Bioinformatics. 2017 Dec 15;33(24):3947-3954. doi: 10.1093/bioinformatics/btx463.

MOTIVATION: In genetic association studies, meta-analyses are widely used to increase the statistical power by aggregating information from multiple studies. In meta-analyses, participating studies often share the same individuals due to the shared use of publicly available control data...

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Kim EE, Lee S, Lee CH, et al. FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects. Bioinformatics. 2017;33(24):3947-3954doi: 10.1093/bioinformatics/btx463.
Kim, E. E., Lee, S., Lee, C. H., Oh, H., Song, K., & Han, B. (2017). FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects. Bioinformatics (Oxford, England), 33(24), 3947-3954. https://doi.org/10.1093/bioinformatics/btx463
Kim, Emma E, et al. "FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects." Bioinformatics (Oxford, England) vol. 33,24 (2017): 3947-3954. doi: https://doi.org/10.1093/bioinformatics/btx463
Kim EE, Lee S, Lee CH, Oh H, Song K, Han B. FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects. Bioinformatics. 2017 Dec 15;33(24):3947-3954. doi: 10.1093/bioinformatics/btx463. PMID: 29036405; PMCID: PMC5860085.
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Advancing precision medicine in healthcare: addressing implementation challenges to increase pharmacogenetic testing in the clinical setting.

Physiological genomics

Dong OM, Wiltshire T.
PMID: 28550089
Physiol Genomics. 2017 Jul 01;49(7):346-354. doi: 10.1152/physiolgenomics.00029.2017. Epub 2017 May 26.

The incorporation of precision medicine into the clinical setting is becoming increasingly feasible with the availability of more affordable genetic sequencing technologies and successful genetic associations with phenotypes, especially in the pharmacogenomic field. Although substantial progress has been made...

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Dong OM, Wiltshire T. Advancing precision medicine in healthcare: addressing implementation challenges to increase pharmacogenetic testing in the clinical setting. Physiol Genomics. 2017;49(7):346-354doi: 10.1152/physiolgenomics.00029.2017.
Dong, O. M., & Wiltshire, T. (2017). Advancing precision medicine in healthcare: addressing implementation challenges to increase pharmacogenetic testing in the clinical setting. Physiological genomics, 49(7), 346-354. https://doi.org/10.1152/physiolgenomics.00029.2017
Dong, Olivia M, and Wiltshire, Tim. "Advancing precision medicine in healthcare: addressing implementation challenges to increase pharmacogenetic testing in the clinical setting." Physiological genomics vol. 49,7 (2017): 346-354. doi: https://doi.org/10.1152/physiolgenomics.00029.2017
Dong OM, Wiltshire T. Advancing precision medicine in healthcare: addressing implementation challenges to increase pharmacogenetic testing in the clinical setting. Physiol Genomics. 2017 Jul 01;49(7):346-354. doi: 10.1152/physiolgenomics.00029.2017. Epub 2017 May 26. PMID: 28550089.
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Genotype Guidance.

South Dakota medicine : the journal of the South Dakota State Medical Association

Hansen K.
PMID: 29088517
S D Med. 2017 Nov;70(11):485.

No abstract available.

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Hansen K. Genotype Guidance. S D Med. 2017;70(11):485
Hansen, K. (2017). Genotype Guidance. South Dakota medicine : the journal of the South Dakota State Medical Association, 70(11), 485.
Hansen, Keith. "Genotype Guidance." South Dakota medicine : the journal of the South Dakota State Medical Association vol. 70,11 (2017): 485.
Hansen K. Genotype Guidance. S D Med. 2017 Nov;70(11):485. PMID: 29088517.
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Liquid-based cytology in lung adenocarcinoma: The way forward.

Diagnostic cytopathology

Aggarwal P.
PMID: 31407524
Diagn Cytopathol. 2019 Oct;47(10):1119. doi: 10.1002/dc.24300. Epub 2019 Aug 12.

No abstract available.

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Aggarwal P. Liquid-based cytology in lung adenocarcinoma: The way forward. Diagn Cytopathol. 2019;47(10):1119doi: 10.1002/dc.24300.
Aggarwal, P. (2019). Liquid-based cytology in lung adenocarcinoma: The way forward. Diagnostic cytopathology, 47(10), 1119. https://doi.org/10.1002/dc.24300
Aggarwal, Phiza. "Liquid-based cytology in lung adenocarcinoma: The way forward." Diagnostic cytopathology vol. 47,10 (2019): 1119. doi: https://doi.org/10.1002/dc.24300
Aggarwal P. Liquid-based cytology in lung adenocarcinoma: The way forward. Diagn Cytopathol. 2019 Oct;47(10):1119. doi: 10.1002/dc.24300. Epub 2019 Aug 12. PMID: 31407524.
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[Radiomics for Molecular Classification and Treatment Strategy].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics

Uchiyama Y.
PMID: 32238678
Igaku Butsuri. 2020;40(1):19-22. doi: 10.11323/jjmp.40.1_19.

After the end of human genome project, the cost of genetic analysis has rapidly declined with the advancement of next-generation sequencers. In addition, the relationship between various diseases and genes has been clarified. Therefore, it is likely that genetic...

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Uchiyama Y. [Radiomics for Molecular Classification and Treatment Strategy]. Igaku Butsuri. 2020;40(1):19-22doi: 10.11323/jjmp.40.1_19.
Uchiyama, Y. (2020). [Radiomics for Molecular Classification and Treatment Strategy]. Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics, 40(1), 19-22. https://doi.org/10.11323/jjmp.40.1_19
Uchiyama, Yoshikazu. "[Radiomics for Molecular Classification and Treatment Strategy]." Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics vol. 40,1 (2020): 19-22. doi: https://doi.org/10.11323/jjmp.40.1_19
Uchiyama Y. [Radiomics for Molecular Classification and Treatment Strategy]. Igaku Butsuri. 2020;40(1):19-22. doi: 10.11323/jjmp.40.1_19. Japanese. PMID: 32238678.
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Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition.

Nature communications

Dubé CE, Ziegler M, Mercière A, Boissin E, Planes S, Bourmaud CA, Voolstra CR.
PMID: 34737272
Nat Commun. 2021 Nov 04;12(1):6402. doi: 10.1038/s41467-021-26543-x.

Coral microbiomes are critical to holobiont functioning, but much remains to be understood about how prevailing environment and host genotype affect microbial communities in ecosystems. Resembling human identical twin studies, we examined bacterial community differences of naturally occurring fire...

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Dubé CE, Ziegler M, Mercière A, et al. Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition. Nat Commun. 2021;12(1):6402doi: 10.1038/s41467-021-26543-x.
Dubé, C. E., Ziegler, M., Mercière, A., Boissin, E., Planes, S., Bourmaud, C. A., & Voolstra, C. R. (2021). Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition. Nature communications, 12(1), 6402. https://doi.org/10.1038/s41467-021-26543-x
Dubé, C E, et al. "Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition." Nature communications vol. 12,1 (2021): 6402. doi: https://doi.org/10.1038/s41467-021-26543-x
Dubé CE, Ziegler M, Mercière A, Boissin E, Planes S, Bourmaud CA, Voolstra CR. Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition. Nat Commun. 2021 Nov 04;12(1):6402. doi: 10.1038/s41467-021-26543-x. PMID: 34737272; PMCID: PMC8568919.
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Nebula: ultra-efficient mapping-free structural variant genotyper.

Nucleic acids research

Khorsand P, Hormozdiari F.
PMID: 33503255
Nucleic Acids Res. 2021 May 07;49(8):e47. doi: 10.1093/nar/gkab025.

Large scale catalogs of common genetic variants (including indels and structural variants) are being created using data from second and third generation whole-genome sequencing technologies. However, the genotyping of these variants in newly sequenced samples is a nontrivial task...

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Khorsand P, Hormozdiari F. Nebula: ultra-efficient mapping-free structural variant genotyper. Nucleic Acids Res. 2021;49(8):e47doi: 10.1093/nar/gkab025.
Khorsand, P., & Hormozdiari, F. (2021). Nebula: ultra-efficient mapping-free structural variant genotyper. Nucleic acids research, 49(8), e47. https://doi.org/10.1093/nar/gkab025
Khorsand, Parsoa, and Hormozdiari, Fereydoun. "Nebula: ultra-efficient mapping-free structural variant genotyper." Nucleic acids research vol. 49,8 (2021): e47. doi: https://doi.org/10.1093/nar/gkab025
Khorsand P, Hormozdiari F. Nebula: ultra-efficient mapping-free structural variant genotyper. Nucleic Acids Res. 2021 May 07;49(8):e47. doi: 10.1093/nar/gkab025. PMID: 33503255; PMCID: PMC8096284.
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Congenital hyperinsulinism in three patients from the same family. Expanding the genotype of this disease.

Anales de pediatria

Herrera Azabache K, Muñoz Bermúdez Z, Ferrández Mengual D, Nso-Roca AP.
PMID: 34373074
An Pediatr (Engl Ed). 2021 Aug;95(2):123-124. doi: 10.1016/j.anpede.2020.07.017. Epub 2021 Apr 15.

No abstract available.

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Herrera Azabache K, Muñoz Bermúdez Z, Ferrández Mengual D, et al. Congenital hyperinsulinism in three patients from the same family. Expanding the genotype of this disease. An Pediatr (Engl Ed). 2021;95(2):123-124doi: 10.1016/j.anpede.2020.07.017.
Herrera Azabache, K., Muñoz Bermúdez, Z., Ferrández Mengual, D., & Nso-Roca, A. P. (2021). Congenital hyperinsulinism in three patients from the same family. Expanding the genotype of this disease. Anales de pediatria, 95(2), 123-124. https://doi.org/10.1016/j.anpede.2020.07.017
Herrera Azabache, Katia, et al. "Congenital hyperinsulinism in three patients from the same family. Expanding the genotype of this disease." Anales de pediatria vol. 95,2 (2021): 123-124. doi: https://doi.org/10.1016/j.anpede.2020.07.017
Herrera Azabache K, Muñoz Bermúdez Z, Ferrández Mengual D, Nso-Roca AP. Congenital hyperinsulinism in three patients from the same family. Expanding the genotype of this disease. An Pediatr (Engl Ed). 2021 Aug;95(2):123-124. doi: 10.1016/j.anpede.2020.07.017. Epub 2021 Apr 15. PMID: 34373074.
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Digging more deeply for genetic effects in psychiatric illness.

The American journal of psychiatry

Brzustowicz L, Freedman R.
PMID: 21969044
Am J Psychiatry. 2011 Oct;168(10):1017-20. doi: 10.1176/appi.ajp.2011.11060928.

No abstract available.

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Brzustowicz L, Freedman R. Digging more deeply for genetic effects in psychiatric illness. Am J Psychiatry. 2011;168(10):1017-20doi: 10.1176/appi.ajp.2011.11060928.
Brzustowicz, L., & Freedman, R. (2011). Digging more deeply for genetic effects in psychiatric illness. The American journal of psychiatry, 168(10), 1017-20. https://doi.org/10.1176/appi.ajp.2011.11060928
Brzustowicz, Linda, and Freedman, Robert. "Digging more deeply for genetic effects in psychiatric illness." The American journal of psychiatry vol. 168,10 (2011): 1017-20. doi: https://doi.org/10.1176/appi.ajp.2011.11060928
Brzustowicz L, Freedman R. Digging more deeply for genetic effects in psychiatric illness. Am J Psychiatry. 2011 Oct;168(10):1017-20. doi: 10.1176/appi.ajp.2011.11060928. PMID: 21969044.
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Discovery of DNA polymorphisms via whole genome resequencing and their functional relevance in salinity stress response in chickpea.

Physiologia plantarum

Rajkumar MS, Jain M, Garg R.
PMID: 34287918
Physiol Plant. 2021 Dec;173(4):1573-1586. doi: 10.1111/ppl.13507. Epub 2021 Jul 28.

Salinity stress is one of the major constraints for plant growth and yield. The salinity stress response of different genotypes of crop plants may largely be governed by DNA polymorphisms. To determine the molecular genetic factors involved in salinity...

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Rajkumar MS, Jain M, Garg R. Discovery of DNA polymorphisms via whole genome resequencing and their functional relevance in salinity stress response in chickpea. Physiol Plant. 2021;173(4):1573-1586doi: 10.1111/ppl.13507.
Rajkumar, M. S., Jain, M., & Garg, R. (2021). Discovery of DNA polymorphisms via whole genome resequencing and their functional relevance in salinity stress response in chickpea. Physiologia plantarum, 173(4), 1573-1586. https://doi.org/10.1111/ppl.13507
Rajkumar, Mohan Singh, et al. "Discovery of DNA polymorphisms via whole genome resequencing and their functional relevance in salinity stress response in chickpea." Physiologia plantarum vol. 173,4 (2021): 1573-1586. doi: https://doi.org/10.1111/ppl.13507
Rajkumar MS, Jain M, Garg R. Discovery of DNA polymorphisms via whole genome resequencing and their functional relevance in salinity stress response in chickpea. Physiol Plant. 2021 Dec;173(4):1573-1586. doi: 10.1111/ppl.13507. Epub 2021 Jul 28. PMID: 34287918.
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Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype.

Computational biology and chemistry

Bai R, Ling C, Cai L, Gao J.
PMID: 33810991
Comput Biol Chem. 2021 Oct;94:107417. doi: 10.1016/j.compbiolchem.2020.107417. Epub 2020 Nov 21.

Genotype plays a significant role in determining characteristics in an organism and genotype calling has been greatly accelerated by sequencing technologies. Furthermore, most parametric statistical models are unable to effectively call genotype, which is influenced by the size of...

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Bai R, Ling C, Cai L, et al. Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput Biol Chem. 2020;94:107417doi: 10.1016/j.compbiolchem.2020.107417.
Bai, R., Ling, C., Cai, L., & Gao, J. (2021). Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Computational biology and chemistry, 94107417. https://doi.org/10.1016/j.compbiolchem.2020.107417
Bai, Ruofei, et al. "Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype." Computational biology and chemistry vol. 94 (2021): 107417. doi: https://doi.org/10.1016/j.compbiolchem.2020.107417
Bai R, Ling C, Cai L, Gao J. Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput Biol Chem. 2021 Oct;94:107417. doi: 10.1016/j.compbiolchem.2020.107417. Epub 2020 Nov 21. PMID: 33810991.
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Showing 121 to 131 of 131 entries