Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Charles F. Sing"'
Autor:
Jari H. Stengård, Sharon L.R. Kardia, Sara C. Hamon, Ruth Frikke-Schmidt, Anne Tybjærg-Hansen, Veikko Salomaa, Eric Boerwinkle, Charles F. Sing
Publikováno v:
Journal of Lipid Research, Vol 47, Iss 2, Pp 318-328 (2006)
The objective of this study was to evaluate 1) whether non single nucleotide polymorphisms-coding (non-cSNP) in the apolipoprotein E gene (APOE) identified by resequencing studies contribute to statistically explaining dyslipidemia if variations in t
Externí odkaz:
https://doaj.org/article/43f0a37909e147dd8b9164ff82ef4da9
Publikováno v:
Journal of Lipid Research, Vol 46, Iss 3, Pp 564-570 (2005)
Genetic variation in the apolipoprotein A-V gene (APOA5) has been associated with variation in plasma triglyceride (TG) levels in African American and white females and males older than 40 years and/or at increased risk of coronary artery disease. We
Externí odkaz:
https://doaj.org/article/32ec7c20793c48e58cf91a0db9c5625e
Autor:
Pathik D Wadhwa, Hyagriv N Simhan, Sonja Entringer, Claudia Buss, Roger Smith, Calvin J Hobel, Naveed Farhana, Lawrence Shimmin, James E Hixson, Charles F Sing
Publikováno v:
PLoS ONE, Vol 7, Iss 9, p e43931 (2012)
Given the unique role of the corticotrophin-releasing hormone (CRH) system in human fetal development, the aim of our study was to estimate the association of birth weight with DNA sequence variation in three maternal genes involved in regulating CRH
Externí odkaz:
https://doaj.org/article/17e7025ebaa9443e97c07eeb88c770c8
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e29889 (2012)
In this paper, we use a statistical estimator developed in astrophysics to study the distribution and organization of features of the human genome. Using the human reference sequence we quantify the global distribution of CpG islands (CGI) in each ch
Externí odkaz:
https://doaj.org/article/127ad1ec073047d6a3a76dde6f0132b8
Autor:
Charles F. Sing, David B. Sing
Publikováno v:
Encyclopedia of Soil Science, Third Edition ISBN: 9781315161860
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6bf100e14c45b0e5e291b122e758d84
https://doi.org/10.1081/e-ess3-120044519
https://doi.org/10.1081/e-ess3-120044519
Autor:
Greg Dyson, Ruth Frikke-Schmidt, Charles F. Sing, Marianne Benn, Christiane L Haase, Børge G. Nordestgaard, Anne Tybjærg-Hansen
Publikováno v:
International Journal of Epidemiology. 44:117-128
The aetiology of ischaemic heart disease (IHD) is complex and is influenced by a spectrum of environmental factors and susceptibility genes. Traditional statistical modelling considers such factors to act independently in an additive manner. The Pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35aeb8344f413e223509a51f07b4d1a7
https://doi.org/10.1093/ije/dyu215
https://doi.org/10.1093/ije/dyu215
Publikováno v:
Clinical Genetics. 46:6-14
An emerging challenge facing those who are concerned about the efficacy of public health programs is to understand how information from the DNA revolution might be used to improve our ability to predict the initiation, progression and severity of a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1331b3eaaa191599d8e126115f5d7e0
https://doi.org/10.1111/j.1399-0004.1994.tb04196.x
https://doi.org/10.1111/j.1399-0004.1994.tb04196.x
Publikováno v:
Genetic Epidemiology. 31:515-527
Different combinations of genetic and environmental risk factors are known to contribute to the complex etiology of ischemic heart disease (IHD) in different subsets of individuals. We employed the Patient Rule-Induction Method (PRIM) to select the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2748f4fb0c83149576172e25df856dbd
https://doi.org/10.1002/gepi.20225
https://doi.org/10.1002/gepi.20225
Autor:
James E. Hixson, Eric Boerwinkle, Andrew G. Clark, Aida M. Andrés, Lawrence C. Shimmin, Charles F. Sing
Publikováno v:
Genetic Epidemiology. 31:659-671
Statistical methods for haplotype inference from multi-site genotypes of unrelated individuals have important application in association studies and population genetics. Understanding the factors that affect the accuracy of this inference is importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a02a4f5b9d3ad8c250fb7a9a52197256
https://doi.org/10.1002/gepi.20185
https://doi.org/10.1002/gepi.20185