Literature DB >> 19075393

Rare loss-of-function mutations in ANGPTL family members contribute to plasma triglyceride levels in humans.

Stefano Romeo1, Wu Yin, Julia Kozlitina, Len A Pennacchio, Eric Boerwinkle, Helen H Hobbs, Jonathan C Cohen.   

Abstract

The relative activity of lipoprotein lipase (LPL) in different tissues controls the partitioning of lipoprotein-derived fatty acids between sites of fat storage (adipose tissue) and oxidation (heart and skeletal muscle). Here we used a reverse genetic strategy to test the hypothesis that 4 angiopoietin-like proteins (ANGPTL3, -4, -5, and -6) play key roles in triglyceride (TG) metabolism in humans. We re-sequenced the coding regions of the genes encoding these proteins and identified multiple rare nonsynonymous (NS) sequence variations that were associated with low plasma TG levels but not with other metabolic phenotypes. Functional studies revealed that all mutant alleles of ANGPTL3 and ANGPTL4 that were associated with low plasma TG levels interfered either with the synthesis or secretion of the protein or with the ability of the ANGPTL protein to inhibit LPL. A total of 1% of the Dallas Heart Study population and 4% of those participants with a plasma TG in the lowest quartile had a rare loss-of-function mutation in ANGPTL3, ANGPTL4, or ANGPTL5. Thus, ANGPTL3, ANGPTL4, and ANGPTL5, but not ANGPTL6, play nonredundant roles in TG metabolism, and multiple alleles at these loci cumulatively contribute to variability in plasma TG levels in humans.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19075393      PMCID: PMC2613476          DOI: 10.1172/JCI37118

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  36 in total

1.  Multiple rare alleles contribute to low plasma levels of HDL cholesterol.

Authors:  Jonathan C Cohen; Robert S Kiss; Alexander Pertsemlidis; Yves L Marcel; Ruth McPherson; Helen H Hobbs
Journal:  Science       Date:  2004-08-06       Impact factor: 47.728

2.  Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population.

Authors:  Lidia S Szczepaniak; Pamela Nurenberg; David Leonard; Jeffrey D Browning; Jason S Reingold; Scott Grundy; Helen H Hobbs; Robert L Dobbins
Journal:  Am J Physiol Endocrinol Metab       Date:  2004-08-31       Impact factor: 4.310

3.  A stable, radioactive substrate emulsion for assay of lipoprotein lipase.

Authors:  P Nilsson-Ehle; M C Schotz
Journal:  J Lipid Res       Date:  1976-09       Impact factor: 5.922

4.  Identification of a novel human angiopoietin-like gene expressed mainly in heart.

Authors:  Li Zeng; Jianliang Dai; Kang Ying; Enpeng Zhao; Wei Jin; Yin Ye; Jianfeng Dai; Jian Xu; Yi Xie; Yumin Mao
Journal:  J Hum Genet       Date:  2003       Impact factor: 3.172

5.  Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9.

Authors:  Jonathan Cohen; Alexander Pertsemlidis; Ingrid K Kotowski; Randall Graham; Christine Kim Garcia; Helen H Hobbs
Journal:  Nat Genet       Date:  2005-01-16       Impact factor: 38.330

Review 6.  Lipoprotein lipase: genetics, lipid uptake, and regulation.

Authors:  Martin Merkel; Robert H Eckel; Ira J Goldberg
Journal:  J Lipid Res       Date:  2002-12       Impact factor: 5.922

7.  The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health.

Authors:  Ronald G Victor; Robert W Haley; DuWayne L Willett; Ronald M Peshock; Patrice C Vaeth; David Leonard; Mujeeb Basit; Richard S Cooper; Vincent G Iannacchione; Wendy A Visscher; Jennifer M Staab; Helen H Hobbs
Journal:  Am J Cardiol       Date:  2004-06-15       Impact factor: 2.778

8.  Oligomerization and regulated proteolytic processing of angiopoietin-like protein 4.

Authors:  Hongfei Ge; Guoqing Yang; Lu Huang; Daniel L Motola; Tiffany Pourbahrami; Cai Li
Journal:  J Biol Chem       Date:  2003-10-21       Impact factor: 5.157

9.  Protein region important for regulation of lipid metabolism in angiopoietin-like 3 (ANGPTL3): ANGPTL3 is cleaved and activated in vivo.

Authors:  Mitsuru Ono; Tetsuya Shimizugawa; Mitsuru Shimamura; Kenichi Yoshida; Chisa Noji-Sakikawa; Yosuke Ando; Ryuta Koishi; Hidehiko Furukawa
Journal:  J Biol Chem       Date:  2003-08-08       Impact factor: 5.157

10.  Oligomerization state-dependent hyperlipidemic effect of angiopoietin-like protein 4.

Authors:  Hongfei Ge; Guoqing Yang; Xinxin Yu; Tiffany Pourbahrami; Cai Li
Journal:  J Lipid Res       Date:  2004-08-01       Impact factor: 5.922

View more
  191 in total

1.  A flexible likelihood framework for detecting associations with secondary phenotypes in genetic studies using selected samples: application to sequence data.

Authors:  Dajiang J Liu; Suzanne M Leal
Journal:  Eur J Hum Genet       Date:  2011-12-14       Impact factor: 4.246

2.  Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

Authors:  Aldi T Kraja; Heather A Lawson; Donna K Arnett; Ingrid B Borecki; Ulrich Broeckel; Lisa de las Fuentes; Steven C Hunt; Michael A Province; James Cheverud; D C Rao
Journal:  Metabolism       Date:  2012-03-03       Impact factor: 8.694

3.  Clan genomics and the complex architecture of human disease.

Authors:  James R Lupski; John W Belmont; Eric Boerwinkle; Richard A Gibbs
Journal:  Cell       Date:  2011-09-30       Impact factor: 41.582

4.  Exome sequencing and the genetic basis of complex traits.

Authors:  Adam Kiezun; Kiran Garimella; Ron Do; Nathan O Stitziel; Benjamin M Neale; Paul J McLaren; Namrata Gupta; Pamela Sklar; Patrick F Sullivan; Jennifer L Moran; Christina M Hultman; Paul Lichtenstein; Patrik Magnusson; Thomas Lehner; Yin Yao Shugart; Alkes L Price; Paul I W de Bakker; Shaun M Purcell; Shamil R Sunyaev
Journal:  Nat Genet       Date:  2012-05-29       Impact factor: 38.330

5.  A novel genome-information content-based statistic for genome-wide association analysis designed for next-generation sequencing data.

Authors:  Li Luo; Yun Zhu; Momiao Xiong
Journal:  J Comput Biol       Date:  2012-05-31       Impact factor: 1.479

6.  Adaptive clustering and adaptive weighting methods to detect disease associated rare variants.

Authors:  Qiuying Sha; Shuaicheng Wang; Shuanglin Zhang
Journal:  Eur J Hum Genet       Date:  2012-07-11       Impact factor: 4.246

7.  Variation across the allele frequency spectrum.

Authors:  Anna L Gloyn; Mark I McCarthy
Journal:  Nat Genet       Date:  2010-08       Impact factor: 38.330

8.  Interpretation of association signals and identification of causal variants from genome-wide association studies.

Authors:  Kai Wang; Samuel P Dickson; Catherine A Stolle; Ian D Krantz; David B Goldstein; Hakon Hakonarson
Journal:  Am J Hum Genet       Date:  2010-04-29       Impact factor: 11.025

9.  Pooled association tests for rare variants in exon-resequencing studies.

Authors:  Alkes L Price; Gregory V Kryukov; Paul I W de Bakker; Shaun M Purcell; Jeff Staples; Lee-Jen Wei; Shamil R Sunyaev
Journal:  Am J Hum Genet       Date:  2010-05-13       Impact factor: 11.025

10.  Replication strategies for rare variant complex trait association studies via next-generation sequencing.

Authors:  Dajiang J Liu; Suzanne M Leal
Journal:  Am J Hum Genet       Date:  2010-12-10       Impact factor: 11.025

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.