Literature DB >> 15108119

The effects of scale: variation in the APOA1/C3/A4/A5 gene cluster.

Stephanie M Fullerton1, Anne V Buchanan, Vibhor A Sonpar, Scott L Taylor, Joshua D Smith, Christopher S Carlson, Veikko Salomaa, Jari H Stengård, Eric Boerwinkle, Andrew G Clark, Deborah A Nickerson, Kenneth M Weiss.   

Abstract

While there is considerable appeal to the idea of selecting a few SNPs to represent all, or much, of the DNA sequence variability in a local chromosomal region, it is also important to quantify what detail is lost in adopting such an approach. To address this issue, we compared high- and low-resolution depictions of sequence diversity for the same genomic region, the APOA1/C3/A4/A5 gene cluster on chromosome 11. First, extensive re-sequencing identified all nucleotide and sequence haplotype variation of the linked apolipoprotein genes in 72 individuals from three populations: African-Americans from Jackson, Miss., Europeans from North Karelia, Finland, and European-Americans from Rochester, Minn. We identified 124 SNPs in 17.7 kb and significant differences in variation among genes. APOC3 gene diversity was particularly distinctive at high resolution, showing large allele frequency differences ( F(ST) values >0.250) between Jackson and the other two samples, and divergent population-specific haplotype lineages. Next, we selected haplotype-tagging SNPs (htSNPs) for each gene, at a density of approximately one SNP per kb, using an algorithm suggested by Stram et al. (2003). The 17 htSNPs identified were then used to reconstruct low-resolution haplotypes, from which inferences about the structure of variation were also drawn. This comparison showed that while the htSNPs successfully tagged common haplotype variation, they also left much underlying sequence diversity undetected and failed, in some cases, to co-classify groups of closely related haplotypes. The implications of these findings for other haplotype-based descriptions of human variation are discussed.

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Year:  2004        PMID: 15108119     DOI: 10.1007/s00439-004-1106-x

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  77 in total

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2.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

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4.  A vision for the future of genomics research.

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5.  Extended haplotypes and linkage disequilibrium between 11 markers at the APOA1-C3-A4 gene cluster on chromosome 11.

Authors:  P Benlian; C Boileau; N Loux; D Pastier; J Masliah; M Coulon; M Nigou; A Ragab; J Guimard; J B Ruidavets
Journal:  Am J Hum Genet       Date:  1991-05       Impact factor: 11.025

6.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

7.  Restriction fragment length polymorphisms of the apolipoprotein A-I, C-III, A-IV gene locus. Relationships with lipids, apolipoproteins, and premature coronary artery disease.

Authors:  J M Ordovas; F Civeira; J Genest; S Craig; A H Robbins; T Meade; M Pocovi; P M Frossard; U Masharani; P W Wilson
Journal:  Atherosclerosis       Date:  1991-03       Impact factor: 5.162

8.  Statistical tests of neutrality of mutations.

Authors:  Y X Fu; W H Li
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

9.  Common genetic variation in the promoter of the human apo CIII gene abolishes regulation by insulin and may contribute to hypertriglyceridemia.

Authors:  W W Li; M M Dammerman; J D Smith; S Metzger; J L Breslow; T Leff
Journal:  J Clin Invest       Date:  1995-12       Impact factor: 14.808

10.  Changes in risk factors explain changes in mortality from ischaemic heart disease in Finland.

Authors:  E Vartiainen; P Puska; J Pekkanen; J Tuomilehto; P Jousilahti
Journal:  BMJ       Date:  1994-07-02
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  19 in total

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Journal:  Circ Cardiovasc Genet       Date:  2014-11-01

2.  Use of autosomal loci for clustering individuals and populations of East Asian origin.

Authors:  Jong-Jin Kim; Paul Verdu; Andrew J Pakstis; William C Speed; Judith R Kidd; Kenneth K Kidd
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3.  The contribution of individual and pairwise combinations of SNPs in the APOA1 and APOC3 genes to interindividual HDL-C variability.

Authors:  C M Brown; T J Rea; S C Hamon; J E Hixson; E Boerwinkle; A G Clark; C F Sing
Journal:  J Mol Med (Berl)       Date:  2006-05-17       Impact factor: 4.599

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Review 6.  Coronary heart disease and polymorphisms in genes affecting lipid metabolism and inflammation.

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7.  Vitamin D dependent effects of APOA5 polymorphisms on HDL cholesterol.

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8.  Pharmacogenetic association of the APOA1/C3/A4/A5 gene cluster and lipid responses to fenofibrate: the genetics of lipid-lowering drugs and diet network study.

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Journal:  Pharmacogenet Genomics       Date:  2009-02       Impact factor: 2.089

9.  Variation in 5' promoter region of the APOE gene contributes to predicting ischemic heart disease (IHD) in the population at large: the Copenhagen City Heart Study.

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10.  Targeted resequencing and analysis of the Diamond-Blackfan anemia disease locus RPS19.

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