Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease

Karina Banasik; Johanne Marie Justesen; Malene Hornbak; Nikolaj Thure Krarup; Anette P Gjesing; Camilla Helene Sandholt; Thomas Jensen; Niels Grarup; Asa Andersson; Torben Jørgensen; Daniel Rinse Witte; Annelli Sandbæk; Torsten Lauritzen; Bernard Thorens; Søren Brunak; Thorkild I A Sørensen; Oluf Borbye Pedersen; Torben Hansen

doi:10.1371/journal.pone.0016542

Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease

Karina Banasik, Johanne Marie Justesen, Malene Hornbak, Nikolaj Thure Krarup, Anette P Gjesing, Camilla Helene Sandholt, Thomas Jensen, Niels Grarup, Asa Andersson, Torben Jørgensen, Daniel Rinse Witte, Annelli Sandbæk, Torsten Lauritzen, Bernard Thorens, Søren Brunak, Thorkild I A Sørensen, Oluf Borbye Pedersen, Torben Hansen

25 Citationer (Scopus)

Abstract

Candidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes.

Originalsprog	Engelsk
Tidsskrift	P L o S One
Vol/bind	6
Udgave nummer	1
Sider (fra-til)	e16542
ISSN	1932-6203
DOI	https://doi.org/10.1371/journal.pone.0016542
Status	Udgivet - 2011

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10.1371/journal.pone.0016542

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Banasik, K., Justesen, J. M., Hornbak, M., Krarup, N. T., Gjesing, A. P., Sandholt, C. H., Jensen, T., Grarup, N., Andersson, A., Jørgensen, T., Witte, D. R., Sandbæk, A., Lauritzen, T., Thorens, B., Brunak, S., Sørensen, T. I. A., Pedersen, O. B., & Hansen, T. (2011). Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease. P L o S One, 6(1), e16542. https://doi.org/10.1371/journal.pone.0016542

Banasik, K, Justesen, JM, Hornbak, M, Krarup, NT, Gjesing, AP, Sandholt, CH, Jensen, T, Grarup, N, Andersson, A, Jørgensen, T, Witte, DR, Sandbæk, A, Lauritzen, T, Thorens, B, Brunak, S, Sørensen, TIA, Pedersen, OB & Hansen, T 2011, 'Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease', P L o S One, bind 6, nr. 1, s. e16542. https://doi.org/10.1371/journal.pone.0016542

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abstract = "Candidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes.",

keywords = "Case-Control Studies, Computational Biology, Data Mining, Denmark, Diabetes Mellitus, Type 2, Fatty Liver, Humans, Metabolic Syndrome X, Middle Aged, Obesity, Phenotype, Polymorphism, Single Nucleotide, Protein Binding, Quantitative Trait Loci",

author = "Karina Banasik and Justesen, {Johanne Marie} and Malene Hornbak and Krarup, {Nikolaj Thure} and Gjesing, {Anette P} and Sandholt, {Camilla Helene} and Thomas Jensen and Niels Grarup and Asa Andersson and Torben J{\o}rgensen and Witte, {Daniel Rinse} and Annelli Sandb{\ae}k and Torsten Lauritzen and Bernard Thorens and S{\o}ren Brunak and S{\o}rensen, {Thorkild I A} and Pedersen, {Oluf Borbye} and Torben Hansen",

year = "2011",

doi = "10.1371/journal.pone.0016542",

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AU - Banasik, Karina

AU - Justesen, Johanne Marie

AU - Hornbak, Malene

AU - Krarup, Nikolaj Thure

AU - Gjesing, Anette P

AU - Sandholt, Camilla Helene

AU - Jensen, Thomas

AU - Grarup, Niels

AU - Andersson, Asa

AU - Jørgensen, Torben

AU - Witte, Daniel Rinse

AU - Sandbæk, Annelli

AU - Lauritzen, Torsten

AU - Thorens, Bernard

AU - Brunak, Søren

AU - Sørensen, Thorkild I A

AU - Pedersen, Oluf Borbye

AU - Hansen, Torben

PY - 2011

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N2 - Candidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes.

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KW - Case-Control Studies

KW - Computational Biology

KW - Data Mining

KW - Denmark

KW - Diabetes Mellitus, Type 2

KW - Fatty Liver

KW - Humans

KW - Metabolic Syndrome X

KW - Middle Aged

KW - Obesity

KW - Phenotype

KW - Polymorphism, Single Nucleotide

KW - Protein Binding

KW - Quantitative Trait Loci

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Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease

Abstract

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