Covariate linkage analysis of GAW14 simulated data incorporating subclinical phenotype, sex, population, parent-of-origin, and interaction.

Hamshere ML, MacGregor S, Moskvina V, Nikolov IN, Holmans PA

DOI: 10.1186/1471-2156-6-s1-s45
Published: 2005 Dec 30
Container: BMC genetics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/1471-2156-6-s1-s45,
  title = {Covariate linkage analysis of GAW14 simulated data incorporating subclinical phenotype, sex, population, parent-of-origin, and interaction.},
  author = {Hamshere ML and MacGregor S and Moskvina V and Nikolov IN and Holmans PA},
  year = {2005},
  journal = {BMC genetics},
  doi = {10.1186/1471-2156-6-s1-s45},
  url = {https://doi.org/10.1186/1471-2156-6-s1-s45}
}

RIS

TY  - JOUR
TI  - Covariate linkage analysis of GAW14 simulated data incorporating subclinical phenotype, sex, population, parent-of-origin, and interaction.
AU  - Hamshere ML
AU  - MacGregor S
AU  - Moskvina V
AU  - Nikolov IN
AU  - Holmans PA
PY  - 2005
JO  - BMC genetics
DO  - 10.1186/1471-2156-6-s1-s45
UR  - https://doi.org/10.1186/1471-2156-6-s1-s45
ER  -

APA

ML, H., S, M., V, M., IN, N., & PA, H. (2005). Covariate linkage analysis of GAW14 simulated data incorporating subclinical phenotype, sex, population, parent-of-origin, and interaction.. BMC genetics. https://doi.org/10.1186/1471-2156-6-s1-s45

Source records

pubmed · retrieved 2026-09-26T16:01:34.222Z