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Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traits.

Benjamin S Glicksberg | Letizia Amadori | Nicholas K Akers | Katyayani Sukhavasi | Oscar Franzén | Li Li | Gillian M Belbin | Kristin L Ayers | Khader Shameer | Marcus A Badgeley | Kipp W Johnson | Ben Readhead | Bruce J Darrow | Eimear E Kenny | Christer Betsholtz | Raili Ermel | Josefin Skogsberg | Arno Ruusalepp | Eric E Schadt | Joel T Dudley | Hongxia Ren | Jason C Kovacic | Chiara Giannarelli | Shuyu D Li | Johan L M Björkegren | Rong Chen
BMC medical genomics | 2019

Genetic loss-of-function variants (LoFs) associated with disease traits are increasingly recognized as critical evidence for the selection of therapeutic targets. We integrated the analysis of genetic and clinical data from 10,511 individuals in the Mount Sinai BioMe Biobank to identify genes with loss-of-function variants (LoFs) significantly associated with cardiovascular disease (CVD) traits, and used RNA-sequence data of seven metabolic and vascular tissues isolated from 600 CVD patients in the Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task (STARNET) study for validation. We also carried out in vitro functional studies of several candidate genes, and in vivo studies of one gene.

Pubmed ID: 31345219

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL125863
  • Agency: NHLBI NIH HHS, United States
    Id: R03 HL135289
  • Agency: NCI NIH HHS, United States
    Id: U54 CA189201
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL130423
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000067
  • Agency: NIDDK NIH HHS, United States
    Id: R00 DK098294
  • Agency: NCATS NIH HHS, United States
    Id: R21 TR001739
  • Agency: NIH HHS, United States
    Id: S10 OD018522
  • Agency: NHLBI NIH HHS, United States
    Id: K23 HL111339

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


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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GraphPad Prism (tool)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

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BioVision (tool)

RRID:SCR_005057

An Antibody supplier

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SnpEff (tool)

RRID:SCR_005191

Genetic variant annotation and effect prediction software toolbox that annotates and predicts effects of variants on genes (such as amino acid changes). By using standards, such as VCF, SnpEff makes it easy to integrate with other programs.

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HTSeq (tool)

RRID:SCR_005514

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

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ANNOVAR (tool)

RRID:SCR_012821

An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software)

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IMPUTE2 (tool)

RRID:SCR_013055

A computer program for phasing observed genotypes and imputing missing genotypes.

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GENCODE (tool)

RRID:SCR_014966

Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.

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Hep-G2 (tool)

RRID:CVCL_0027

Cell line Hep-G2 is a Cancer cell line with a species of origin Homo sapiens (Human)

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C57BL/6J (tool)

RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

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