Combinations of Genetic Variants Occurring Exclusively in Patients

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Combinations of Genetic Variants Occurring Exclusively in Patients. / Mellerup, Erling Thyge; Møller, Gert Lykke.

I: Computational and Structural Biotechnology Journal, Bind 15, 2017, s. 286-289 .

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mellerup, ET & Møller, GL 2017, 'Combinations of Genetic Variants Occurring Exclusively in Patients', Computational and Structural Biotechnology Journal, bind 15, s. 286-289 . https://doi.org/10.1016/j.csbj.2017.03.001

APA

Mellerup, E. T., & Møller, G. L. (2017). Combinations of Genetic Variants Occurring Exclusively in Patients. Computational and Structural Biotechnology Journal, 15, 286-289 . https://doi.org/10.1016/j.csbj.2017.03.001

Vancouver

Mellerup ET, Møller GL. Combinations of Genetic Variants Occurring Exclusively in Patients. Computational and Structural Biotechnology Journal. 2017;15:286-289 . https://doi.org/10.1016/j.csbj.2017.03.001

Author

Mellerup, Erling Thyge ; Møller, Gert Lykke. / Combinations of Genetic Variants Occurring Exclusively in Patients. I: Computational and Structural Biotechnology Journal. 2017 ; Bind 15. s. 286-289 .

Bibtex

@article{8adc3e4ceb4847938391c96d00fb21d2,
title = "Combinations of Genetic Variants Occurring Exclusively in Patients",
abstract = "The main objective of the study was to find genetic variants that in combination are significantly associated with bipolar disorder. In previous studies of bipolar disorder, combinations of three and four single nucleotide polymorphisms (SNP) genotypes taken from 803 SNPs were analyzed, and five clusters of combinations were found to be significantly associated with bipolar disorder. In the present study, combinations of ten SNP genotypes taken from the same 803 SNPs were analyzed, and one cluster of combinations was found to be significantly associated with bipolar disorder. Combinations from the new cluster and from the five previous clusters were identified in the genomes of 266 or 44{\%} of the 607 patients in the study whereas none of the 1355 control participants had any of these combinations in their genome.The SNP genotypes in the smaller combinations were the normal homozygote, heterozygote or variant homozygote. In the combinations containing 10 SNP genotypes almost all the genotypes were the normal homozygote. Such a finding may indicate that accumulation in the genome of combinations containing few SNP genotypes may be a risk factor for bipolar disorder when those combinations contain relatively many rare SNP genotypes, whereas combinations need to contain many SNP genotypes to be a risk factor when most of the SNP genotypes are the normal homozygote.",
author = "Mellerup, {Erling Thyge} and M{\o}ller, {Gert Lykke}",
year = "2017",
doi = "10.1016/j.csbj.2017.03.001",
language = "English",
volume = "15",
pages = "286--289",
journal = "Computational and Structural Biotechnology Journal",
issn = "2001-0370",
publisher = "Research Network of Computational and Structural Biotechnology (RNCSB)",

}

RIS

TY - JOUR

T1 - Combinations of Genetic Variants Occurring Exclusively in Patients

AU - Mellerup, Erling Thyge

AU - Møller, Gert Lykke

PY - 2017

Y1 - 2017

N2 - The main objective of the study was to find genetic variants that in combination are significantly associated with bipolar disorder. In previous studies of bipolar disorder, combinations of three and four single nucleotide polymorphisms (SNP) genotypes taken from 803 SNPs were analyzed, and five clusters of combinations were found to be significantly associated with bipolar disorder. In the present study, combinations of ten SNP genotypes taken from the same 803 SNPs were analyzed, and one cluster of combinations was found to be significantly associated with bipolar disorder. Combinations from the new cluster and from the five previous clusters were identified in the genomes of 266 or 44% of the 607 patients in the study whereas none of the 1355 control participants had any of these combinations in their genome.The SNP genotypes in the smaller combinations were the normal homozygote, heterozygote or variant homozygote. In the combinations containing 10 SNP genotypes almost all the genotypes were the normal homozygote. Such a finding may indicate that accumulation in the genome of combinations containing few SNP genotypes may be a risk factor for bipolar disorder when those combinations contain relatively many rare SNP genotypes, whereas combinations need to contain many SNP genotypes to be a risk factor when most of the SNP genotypes are the normal homozygote.

AB - The main objective of the study was to find genetic variants that in combination are significantly associated with bipolar disorder. In previous studies of bipolar disorder, combinations of three and four single nucleotide polymorphisms (SNP) genotypes taken from 803 SNPs were analyzed, and five clusters of combinations were found to be significantly associated with bipolar disorder. In the present study, combinations of ten SNP genotypes taken from the same 803 SNPs were analyzed, and one cluster of combinations was found to be significantly associated with bipolar disorder. Combinations from the new cluster and from the five previous clusters were identified in the genomes of 266 or 44% of the 607 patients in the study whereas none of the 1355 control participants had any of these combinations in their genome.The SNP genotypes in the smaller combinations were the normal homozygote, heterozygote or variant homozygote. In the combinations containing 10 SNP genotypes almost all the genotypes were the normal homozygote. Such a finding may indicate that accumulation in the genome of combinations containing few SNP genotypes may be a risk factor for bipolar disorder when those combinations contain relatively many rare SNP genotypes, whereas combinations need to contain many SNP genotypes to be a risk factor when most of the SNP genotypes are the normal homozygote.

U2 - 10.1016/j.csbj.2017.03.001

DO - 10.1016/j.csbj.2017.03.001

M3 - Journal article

C2 - 28377798

VL - 15

SP - 286

EP - 289

JO - Computational and Structural Biotechnology Journal

JF - Computational and Structural Biotechnology Journal

SN - 2001-0370

ER -

ID: 188446775