Literature DB >> 18388691

Defining the spectrum of alleles that contribute to blood lipid concentrations in humans.

Sekar Kathiresan1, Kiran Musunuru, Marju Orho-Melander.   

Abstract

PURPOSE OF REVIEW: Recently, genome-wide genetic screening of common DNA sequence variants has proven a successful approach to identify novel genetic contributors to complex traits. This review summarizes recent genome-wide association studies for lipid phenotypes, and evaluates the next steps needed to obtain a full picture of genotype-phenotype correlation and apply these findings to inform clinical practice. RECENT
FINDINGS: So far, genome-wide association studies have defined at least 19 genomic regions that contain common DNA single nucleotide polymorphisms associated with LDL cholesterol, HDL cholesterol and/or triglycerides. Of these, eight represent novel loci in humans, whereas 11 genes have been previously implicated in lipoprotein metabolism. Many of the same loci with common variants have already been shown to lead to monogenic lipid disorders in humans and/or mice, suggesting that a spectrum of common and rare alleles at each validated locus contributes to blood lipid concentrations.
SUMMARY: At least 19 loci harbor common variations that contribute to blood lipid concentrations in humans. Larger scale genome-wide association studies should identify additional loci, and sequencing of these loci should pinpoint all relevant alleles. With a full catalog of DNA polymorphisms in hand, a panel of lipid-related variants can be studied to provide clinical risk stratification and targeting of therapeutic interventions.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18388691     DOI: 10.1097/MOL.0b013e3282f70296

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  27 in total

Review 1.  Genetic causes of high and low serum HDL-cholesterol.

Authors:  Daphna Weissglas-Volkov; Päivi Pajukanta
Journal:  J Lipid Res       Date:  2010-04-26       Impact factor: 5.922

2.  Nested association mapping for identification of functional markers.

Authors:  Baohong Guo; David A Sleper; William D Beavis
Journal:  Genetics       Date:  2010-06-15       Impact factor: 4.562

Review 3.  Plasma lipoproteins: genetic influences and clinical implications.

Authors:  Robert A Hegele
Journal:  Nat Rev Genet       Date:  2009-01-13       Impact factor: 53.242

4.  Genetic control of high density lipoprotein-cholesterol in AcB/BcA recombinant congenic strains of mice.

Authors:  Sean A Wiltshire; Eduardo Diez; Qianqian Miao; Marie-Pierre Dubé; Mireille Gagné; Olivier Paquette; Ronald G Lafrenière; Momar Ndao; Lawrence W Castellani; Emil Skamene; Silvia M Vidal; Anny Fortin
Journal:  Physiol Genomics       Date:  2012-07-17       Impact factor: 3.107

5.  Genetic polymorphisms in fatty acid metabolism genes and colorectal cancer.

Authors:  M Crous-Bou; G Rennert; R Salazar; F Rodriguez-Moranta; H S Rennert; F Lejbkowicz; L Kopelovich; S M Lipkin; S B Gruber; V Moreno
Journal:  Mutagenesis       Date:  2012-03       Impact factor: 3.000

Review 6.  From Loci to Biology: Functional Genomics of Genome-Wide Association for Coronary Disease.

Authors:  Sylvia T Nurnberg; Hanrui Zhang; Nicholas J Hand; Robert C Bauer; Danish Saleheen; Muredach P Reilly; Daniel J Rader
Journal:  Circ Res       Date:  2016-02-19       Impact factor: 17.367

7.  Effects of diet on genetic regulation of lipoprotein metabolism in baboons.

Authors:  David L Rainwater; John L VandeBerg; Michael C Mahaney
Journal:  Atherosclerosis       Date:  2010-09-28       Impact factor: 5.162

Review 8.  Metabolic syndrome: from epidemiology to systems biology.

Authors:  Aldons J Lusis; Alan D Attie; Karen Reue
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

9.  Genome-wide association study of biochemical traits in Korcula Island, Croatia.

Authors:  Tatijana Zemunik; Mladen Boban; Gordan Lauc; Stipan Janković; Kresimir Rotim; Zoran Vatavuk; Goran Bencić; Zoran Dogas; Vesna Boraska; Vesela Torlak; Jelena Susac; Ivana Zobić; Diana Rudan; Drazen Pulanić; Darko Modun; Ivana Mudnić; Grgo Gunjaca; Danijela Budimir; Caroline Hayward; Veronique Vitart; Alan F Wright; Harry Campbell; Igor Rudan
Journal:  Croat Med J       Date:  2009-02       Impact factor: 1.351

10.  Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.

Authors:  Kai Wang; Manikandan Narayanan; Hua Zhong; Martin Tompa; Eric E Schadt; Jun Zhu
Journal:  PLoS Comput Biol       Date:  2009-12-18       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.