2015
DOI: 10.1097/mol.0000000000000156
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Next-generation gene discovery for variants of large impact on lipid traits

Abstract: Purpose of review Detection of high impact variants on lipid traits is complicated by complex genetic architecture. Although genome-wide association studies (GWAS) successfully identified many novel genes associated with lipid traits, it was less successful in identifying variants with a large impact on the phenotype. This is not unexpected, as the more common variants detectable by GWAS typically have small effects. The availability of large familial datasets and sequence data has changed the paradigm for suc… Show more

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Cited by 3 publications
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“…It is usually believed that using unrelated individuals in the GWAS of a quantitative phenotype is better than using related family members because related individuals could be “over-matched” for genotypes. However, researchers reported that for GWAS on a quantitative phenotype with related individuals, little power was lost whilst there are manifold additional advantages, including better quality control, more robust population stratification and fewer false positive (Visscher et al, 2008 ; Benyamin et al, 2009 ; Rosenthal et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…It is usually believed that using unrelated individuals in the GWAS of a quantitative phenotype is better than using related family members because related individuals could be “over-matched” for genotypes. However, researchers reported that for GWAS on a quantitative phenotype with related individuals, little power was lost whilst there are manifold additional advantages, including better quality control, more robust population stratification and fewer false positive (Visscher et al, 2008 ; Benyamin et al, 2009 ; Rosenthal et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…Analyses of related individuals can have advantages over those of unrelated individuals because they allow for the efficient detection of high-impact variants with a relatively small sample size and increased power for follow-up association studies. 1 Linkage studies, which analyze phenotypic similarity among related individuals with respect to identity by descent (IBD) in a given region, may efficiently detect regions which contain multiple functional variants and they do not require functional variants to be highly concordant with genotyped markers. However, conventional linkage studies have been limited by only analyzing allele sharing among individuals with known relationships.…”
mentioning
confidence: 99%