Design of association studies with pooled or un-pooled next-generation sequencing data

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Design of association studies with pooled or un-pooled next-generation sequencing data. / Kim, Su Yeon; Li, Yingrui; Guo, Yiran; Li, Ruiqiang; Holmkvist, Johan; Hansen, Torben; Pedersen, Oluf Borbye; Wang, Jun; Nielsen, Rasmus.

In: Genetic Epidemiology, Vol. 34, No. 5, 2010, p. 479-491.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kim, SY, Li, Y, Guo, Y, Li, R, Holmkvist, J, Hansen, T, Pedersen, OB, Wang, J & Nielsen, R 2010, 'Design of association studies with pooled or un-pooled next-generation sequencing data', Genetic Epidemiology, vol. 34, no. 5, pp. 479-491. https://doi.org/10.1002/gepi.20501

APA

Kim, S. Y., Li, Y., Guo, Y., Li, R., Holmkvist, J., Hansen, T., Pedersen, O. B., Wang, J., & Nielsen, R. (2010). Design of association studies with pooled or un-pooled next-generation sequencing data. Genetic Epidemiology, 34(5), 479-491. https://doi.org/10.1002/gepi.20501

Vancouver

Kim SY, Li Y, Guo Y, Li R, Holmkvist J, Hansen T et al. Design of association studies with pooled or un-pooled next-generation sequencing data. Genetic Epidemiology. 2010;34(5):479-491. https://doi.org/10.1002/gepi.20501

Author

Kim, Su Yeon ; Li, Yingrui ; Guo, Yiran ; Li, Ruiqiang ; Holmkvist, Johan ; Hansen, Torben ; Pedersen, Oluf Borbye ; Wang, Jun ; Nielsen, Rasmus. / Design of association studies with pooled or un-pooled next-generation sequencing data. In: Genetic Epidemiology. 2010 ; Vol. 34, No. 5. pp. 479-491.

Bibtex

@article{673f7c3bafe94e188b05f047aa4c4581,
title = "Design of association studies with pooled or un-pooled next-generation sequencing data",
abstract = "Most common hereditary diseases in humans are complex and multifactorial. Large-scale genome-wide association studies based on SNP genotyping have only identified a small fraction of the heritable variation of these diseases. One explanation may be that many rare variants (a minor allele frequency, MAF ",
keywords = "Alleles, Chromosome Mapping, Computer Simulation, Denmark, Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Models, Statistical, Polymorphism, Single Nucleotide, Research Design, Sequence Analysis, DNA",
author = "Kim, {Su Yeon} and Yingrui Li and Yiran Guo and Ruiqiang Li and Johan Holmkvist and Torben Hansen and Pedersen, {Oluf Borbye} and Jun Wang and Rasmus Nielsen",
note = "(c) 2010 Wiley-Liss, Inc.",
year = "2010",
doi = "10.1002/gepi.20501",
language = "English",
volume = "34",
pages = "479--491",
journal = "Genetic Epidemiology",
issn = "0741-0395",
publisher = "JohnWiley & Sons, Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Design of association studies with pooled or un-pooled next-generation sequencing data

AU - Kim, Su Yeon

AU - Li, Yingrui

AU - Guo, Yiran

AU - Li, Ruiqiang

AU - Holmkvist, Johan

AU - Hansen, Torben

AU - Pedersen, Oluf Borbye

AU - Wang, Jun

AU - Nielsen, Rasmus

N1 - (c) 2010 Wiley-Liss, Inc.

PY - 2010

Y1 - 2010

N2 - Most common hereditary diseases in humans are complex and multifactorial. Large-scale genome-wide association studies based on SNP genotyping have only identified a small fraction of the heritable variation of these diseases. One explanation may be that many rare variants (a minor allele frequency, MAF

AB - Most common hereditary diseases in humans are complex and multifactorial. Large-scale genome-wide association studies based on SNP genotyping have only identified a small fraction of the heritable variation of these diseases. One explanation may be that many rare variants (a minor allele frequency, MAF

KW - Alleles

KW - Chromosome Mapping

KW - Computer Simulation

KW - Denmark

KW - Genetic Predisposition to Disease

KW - Genetic Variation

KW - Genetics, Population

KW - Genome-Wide Association Study

KW - Genotype

KW - Humans

KW - Models, Genetic

KW - Models, Statistical

KW - Polymorphism, Single Nucleotide

KW - Research Design

KW - Sequence Analysis, DNA

U2 - 10.1002/gepi.20501

DO - 10.1002/gepi.20501

M3 - Journal article

C2 - 20552648

VL - 34

SP - 479

EP - 491

JO - Genetic Epidemiology

JF - Genetic Epidemiology

SN - 0741-0395

IS - 5

ER -

ID: 35312360