2003
DOI: 10.1161/01.atv.0000078520.89539.77
|View full text |Cite
|
Sign up to set email alerts
|

Efflux and Atherosclerosis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
114
0

Year Published

2004
2004
2017
2017

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 229 publications
(116 citation statements)
references
References 90 publications
1
114
0
Order By: Relevance
“…The accumulated literature supports the existence of functionally different alleles of ABCA1 that affect both discrete disease states (Singaraja et al 2003) and quantitative traits (Wang et al 2000;Clee et al 2001;FrikkeSchmidt et al 2004). One of the principal problems has been that the sample sizes of most studies have been small, typically entailing less than 1,000 individuals.…”
Section: Introductionmentioning
confidence: 89%
“…The accumulated literature supports the existence of functionally different alleles of ABCA1 that affect both discrete disease states (Singaraja et al 2003) and quantitative traits (Wang et al 2000;Clee et al 2001;FrikkeSchmidt et al 2004). One of the principal problems has been that the sample sizes of most studies have been small, typically entailing less than 1,000 individuals.…”
Section: Introductionmentioning
confidence: 89%
“…More than 70 mutations have been identified in the ABCA1 gene. Indeed, mutations in ABCA1 lead to Tangier disease, which is characterized by plasma HDL deficiency (6)(7)(8)(9)(10). ABCA1 has two large extracellular domains (ECDs), and the two intramolecular disulfide bonds between them are necessary for apoA-I binding and HDL formation (11)(12)(13) (Fig.…”
mentioning
confidence: 99%
“…As it is difficult to choose and study the SNPs which are more likely to contribute in disease development hence in this condition in silico approach is a convenient way to distinguish the damaging SNPs using specific algorithms that can discriminate between neutral and deleterious SNPs [48].Hence an effort was made to identify SNPs that can modify the structure, function and expression of the PCNA gene. As most of the disease associated SNPs are found in the exons or coding regions, also known as non-synonymous SNPs [49,50] have submitted the 42 nsSNPs of PCNA to various in silico SNP characterizing tools and out of these 42 nsSNPs, 5 nsSNPs (Q38R, S39R, E104G, L182W and K248N) were found to be damaging.…”
Section: Discussionmentioning
confidence: 99%