Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited." />

Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.

Gina M Peloso | Paul L Auer | Joshua C Bis | Arend Voorman | Alanna C Morrison | Nathan O Stitziel | Jennifer A Brody | Sumeet A Khetarpal | Jacy R Crosby | Myriam Fornage | Aaron Isaacs | Johanna Jakobsdottir | Mary F Feitosa | Gail Davies | Jennifer E Huffman | Ani Manichaikul | Brian Davis | Kurt Lohman | Aron Y Joon | Albert V Smith | Megan L Grove | Paolo Zanoni | Valeska Redon | Serkalem Demissie | Kim Lawson | Ulrike Peters | Christopher Carlson | Rebecca D Jackson | Kelli K Ryckman | Rachel H Mackey | Jennifer G Robinson | David S Siscovick | Pamela J Schreiner | Josyf C Mychaleckyj | James S Pankow | Albert Hofman | Andre G Uitterlinden | Tamara B Harris | Kent D Taylor | Jeanette M Stafford | Lindsay M Reynolds | Riccardo E Marioni | Abbas Dehghan | Oscar H Franco | Aniruddh P Patel | Yingchang Lu | George Hindy | Omri Gottesman | Erwin P Bottinger | Olle Melander | Marju Orho-Melander | Ruth J F Loos | Stefano Duga | Piera Angelica Merlini | Martin Farrall | Anuj Goel | Rosanna Asselta | Domenico Girelli | Nicola Martinelli | Svati H Shah | William E Kraus | Mingyao Li | Daniel J Rader | Muredach P Reilly | Ruth McPherson | Hugh Watkins | Diego Ardissino | NHLBI GO Exome Sequencing Project | Qunyuan Zhang | Judy Wang | Michael Y Tsai | Herman A Taylor | Adolfo Correa | Michael E Griswold | Leslie A Lange | John M Starr | Igor Rudan | Gudny Eiriksdottir | Lenore J Launer | Jose M Ordovas | Daniel Levy | Y-D Ida Chen | Alexander P Reiner | Caroline Hayward | Ozren Polasek | Ian J Deary | Ingrid B Borecki | Yongmei Liu | Vilmundur Gudnason | James G Wilson | Cornelia M van Duijn | Charles Kooperberg | Stephen S Rich | Bruce M Psaty | Jerome I Rotter | Christopher J O'Donnell | Kenneth Rice | Eric Boerwinkle | Sekar Kathiresan | L Adrienne Cupples
American journal of human genetics | 2014

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

Pubmed ID: 24507774 RIS Download

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL102923
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL120393
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL-102926
  • Agency: NHLBI NIH HHS, United States
    Id: R01HL107816
  • Agency: NHLBI NIH HHS, United States
    Id: HL105756
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL-102923
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000124
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL105756
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG006380
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL-102925
  • Agency: NHLBI NIH HHS, United States
    Id: T32HL007208
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL103010
  • Agency: NHLBI NIH HHS, United States
    Id: K08-HL114642
  • Agency: Medical Research Council, United Kingdom
    Id: MR/K026992/1
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL107816
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL102926
  • Agency: Chief Scientist Office, United Kingdom
    Id: ETM/55
  • Agency: Medical Research Council, United Kingdom
    Id: G0700704
  • Agency: NHLBI NIH HHS, United States
    Id: T32 HL007208
  • Agency: NHLBI NIH HHS, United States
    Id: K08 HL114642
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK063491
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL-102924
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL102924
  • Agency: Wellcome Trust, United Kingdom
    Id: 090532
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_U127561128
  • Agency: Chief Scientist Office, United Kingdom
    Id: CZB/4/505
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL-103010
  • Agency: NHLBI NIH HHS, United States
    Id: RC2 HL102925
  • Agency: NHLBI NIH HHS, United States
    Id: R21 HL121422
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/F019394/1

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


dbNSFP (tool)

RRID:SCR_005178

A database for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. Version 2.0 is based on the Gencode release 9 / Ensembl version 64 and includes a total of 87,347,043 nsSNVs and 2,270,742 essential splice site SNVs. It compiles prediction scores from six prediction algorithms (SIFT, Polyphen2, LRT, MutationTaster, MutationAssessor and FATHMM), three conservation scores (PhyloP, GERP++ and SiPhy) and other related information including allele frequencies observed in the 1000 Genomes Project phase 1 data and the NHLBI Exome Sequencing Project, various gene IDs from different databases, functional descriptions of genes, gene expression and gene interaction information, etc. Some dbNSFP contents (may not be up-to-date though) can also be accessed through variant tools, ANNOVAR, KGGSeq, UCSC Genome Browser''s Variant Annotation Integrator, Ensembl Variant Effect Predictor and HGMD.

View all literature mentions

UCSC Genome Browser (tool)

RRID:SCR_005780

Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data.

View all literature mentions

OMIM (tool)

RRID:SCR_006437

Online catalog of human genes and genetic disorders, for clinical features, phenotypes and genes. Collection of human genes and genetic phenotypes, focusing on relationship between phenotype and genotype. Referenced overviews in OMIM contain information on all known mendelian disorders and variety of related genes. It is updated daily, and entries contain copious links to other genetics resources.

View all literature mentions

GENETIC POWER CALCULATOR (tool)

RRID:SCR_009198

Software application for automated power analysis for variance components (VC) quantitative trait locis (QTL) linkage and association tests in sibships, and other common tests (entry from Genetic Analysis Software)

View all literature mentions