IN SILICO BIOLOGY: HAPLOTYPE INFERENCE, LINKAGE DISEQUILIBRIUM ANALYSIS, AND MICROARRAY-BASED GENE SELECTION TECHNIQUES

Author(s):  
TIANHUA NIU
Author(s):  
ICHIRO YAMATO ◽  
TADASHI ANDO ◽  
AYUMI SUZUKI ◽  
KAZUO HARADA ◽  
SEIGO ITOH ◽  
...  
Keyword(s):  

2005 ◽  
Vol 108 (2) ◽  
pp. 137-142 ◽  
Author(s):  
Wenjie YANG ◽  
Jianfeng HUANG ◽  
Cailiang YAO ◽  
Shaoyong SU ◽  
Donghai LIU ◽  
...  

Elevated TG [triacylglycerol (triglyceride)] is a significant independent risk factor for cardiovascular disease. LPL (lipoprotein lipase) is one of the key enzymes in the metabolism of the TG-rich lipoproteins which hydrolyses TG from the chylomicrons and very-LDL (low-density lipoprotein). To investigate the relationship between the LPL gene and lipid profiles, especially TG, in 148 hypertensive families, we have chosen seven flanking microsatellite markers and four internal markers of the LPL gene and conducted linkage analysis by SOLAR and S.A.G.E. (statistical analysis for genetic epidemiology)/SIBPAL 2 programs, and linkage disequilibrium analysis by QTDT (quantitative transmission/disequilibrium test) and GOLD (graphical overview of linkage disequilibrium). There were statistically significant differences in lipid levels between subjects without and with hypertension within families. A maximum LOD score of 1.3 with TG at the marker D8S261 was observed by SOLAR. Using S.A.G.E./SIBPAL 2, we identified a linkage with TG at the marker ‘ATTT’ located within intron 6 of the LPL gene (P=0.0095). Two SNPs (single nucleotide polymorphisms), HindIII and HinfI, were found in linkage disequilibrium with LDL-cholesterol levels (P=0.0178 and P=0.0088 respectively). A strong linkage disequilibrium was observed between the HindIII in intron 8 and HinfI in the exon 9 (P<0.00001, D′=0.895). Linkage disequilibrium was also found between the ‘ATTT’ polymorphism in intron 6 and two SNPs (P=0.0021 and D′=0.611 for HindIII; and P=0.00004, D′=0.459 for HinfI). The present study in the Chinese families with hypertension suggested that the LPL gene might influence lipid levels, especially TG metabolism. Replication studies both in Chinese and other populations are warranted to confirm these results.


Author(s):  
Kongming Wang ◽  
Bernice Porjesz ◽  
Henri Begleiter ◽  
Kevin Jones

1999 ◽  
Vol 45 (4, Part 2 of 2) ◽  
pp. 137A-137A
Author(s):  
G A Diaz ◽  
B D Gelb ◽  
N Risch ◽  
T Nygaard ◽  
I Maire ◽  
...  

Author(s):  
Theresa Yuraszeck ◽  
Peter Chang ◽  
Kalyan Gayen ◽  
Eric Kwei ◽  
Henry Mirsky ◽  
...  

Author(s):  
L. Geris ◽  
J. Vander Sloten ◽  
H. Van Oosterwyck

Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms involved still remain to be elucidated. Over the last decade, many mathematical models have been established to investigate the regeneration process in silico . The first models considered only the influence of the mechanical environment as a regulator of the healing process. These models were followed by the development of bioregulatory models where mechanics was neglected and regeneration was regulated only by biological stimuli such as growth factors. The most recent mathematical models couple the influences of both biological and mechanical stimuli. Examples are given to illustrate the added value of mathematical regeneration research, specifically in the in silico design of treatment strategies for non-unions. Drawbacks of the current continuum-type models, together with possible solutions in extending the models towards other time and length scales are discussed. Finally, the demands for dedicated and more quantitative experimental research are presented.


2010 ◽  
Vol 2 (4) ◽  
pp. 210-223 ◽  
Author(s):  
Judy F. Flax ◽  
Abby Hare ◽  
Marco A. Azaro ◽  
Veronica J. Vieland ◽  
Linda M. Brzustowicz

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