Evidence map›Paper›PMID 26931462›Full record

ArticleHuman molecular genetics2016

Integrated analyses of gene expression and genetic association studies in a founder population.

Darren A Cusanovich, Minal Caliskan, Christine Billstrand, Katelyn Michelini, Claudia Chavarria, Sherryl De Leon, Amy Mitrano, Noah Lewellyn, Jack A Elias, Geoffrey L Chupp and 5 more

Abstract read
In one paragraph

Article in Human molecular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Potentially functional variants ofFrontiers in immunology · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Big data hurdles in precision medicine and precision public health.BMC medical informatics and decision making · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Darren A CusanovichDepartment of Human Genetics and.
Minal CaliskanDepartment of Human Genetics and.
Christine BillstrandDepartment of Human Genetics and.
Katelyn MicheliniDepartment of Human Genetics and.
Claudia ChavarriaDepartment of Human Genetics and.
Sherryl De LeonDepartment of Human Genetics and.
Amy MitranoDepartment of Human Genetics and.
Noah LewellynDepartment of Human Genetics and.
Jack A EliasDivision of Biology and Medicine, Brown University, Providence, RI 02912, USA and.
Geoffrey L ChuppPulmonary and Critical Care, Yale School of Medicine, New Haven, CT 06519, USA.
Roberto M LangDepartment of Medicine, Section of Cardiology, University of Chicago, Chicago, IL 60637, USA.
Sanjiv J ShahDepartment of Medicine, Section of Cardiology, University of Chicago, Chicago, IL 60637, USA.
Jeanne M DecaraDepartment of Medicine, Section of Cardiology, University of Chicago, Chicago, IL 60637, USA.
Yoav GiladDepartment of Human Genetics and.
Carole OberDepartment of Human Genetics and, c-ober@genetics.uchicago.edu.

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
Integrating genomics and gene expression analyses to map CVD-associated lociR01HL092206 · NHLBI · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2009 to 2021
$7.3M
Pre-Clinical Development of a Novel Anti-YKL-40 Biologic to Treat Severe AsthmaUH3HL123876 · NHLBI · YALE UNIVERSITY · PI CHUPP, GEOFFREY L, ELIAS, JACK A · 2016 to 2018
$4.5M
Pre-Clinical Development of a Novel Anti-YKL-40 Biologic to Treat Severe AsthmaUH2HL123876 · NHLBI · YALE UNIVERSITY · PI CHUPP, GEOFFREY L, ELIAS, JACK A · 2014 to 2015
$3.3M
Longitudinal Analysis of Transcriptomic Endophenotypes in AsthmaR01HL118346 · NHLBI · YALE UNIVERSITY · PI CHUPP, GEOFFREY L · 2013 to 2016
$3.3M
YKL-40 in Idiopathic Pulmonary Fibrosis and Kidney TransplantationU01HL108638 · NHLBI · YALE UNIVERSITY · PI ELIAS, JACK A · 2011 to 2014
$2.6M
BRP-39/YKL-40 in Th2 Inflammation and AsthmaR01HL093017 · NHLBI · YALE UNIVERSITY · PI ELIAS, JACK A · 2010 to 2013
$1.6M
Chitinase1 as a Biomarker and Therapeutic Target in Scleroderma Lung DiseaseR01HL115813 · NHLBI · BROWN UNIVERSITY · PI LEE, CHUN GEUN · 2014 to 2017
$1.5M
NHLBI NIH HHS R01 HL085197NHLBI NIH HHS R01 HL092206NHLBI NIH HHS R01 HL093017NHLBI NIH HHS R01 HL115813NHLBI NIH HHS R01 HL118346NHLBI NIH HHS U01 HL108638NHLBI NIH HHS UH2 HL123876NHLBI NIH HHS UH3 HL123876NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have become a standard tool for dissecting genetic contributions to disease risk. However, these studies typically require extraordinarily large sample sizes to be adequately powered. Strategies that incorporate functional information alongside genetic associations have proved successful in increasing GWAS power. Following this paradigm, we present the results of 20 different genetic association studies for quantitative traits related to complex diseases, conducted in the Hutterites of South Dakota. To boost the power of these association studies, we collected RNA-sequencing data from lymphoblastoid cell lines for 431 Hutterite individuals. We then used Sherlock, a tool that integrates GWAS and expression quantitative trait locus (eQTL) data, to identify weak GWAS signals that are also supported by eQTL data. Using this approach, we found novel associations with quantitative phenotypes related to cardiovascular disease, including carotid intima-media thickness, left atrial volume index, monocyte count and serum YKL-40 levels.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyCardiovascular DiseasesCarotid Intima-Media ThicknessGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID26931462
PMCPMC5062579

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.