Evidence map›Paper›PMID 28067407›Full record

ArticleAnnals of human genetics2017

Analysis of Whole Exome Sequencing with Cardiometabolic Traits Using Family-Based Linkage and Association in the IRAS Family Study.

Keri L Tabb, Jacklyn N Hellwege, Nicholette D Palmer, Latchezar Dimitrov, Satria Sajuthi, Kent D Taylor, Maggie C Y Ng, Gregory A Hawkins, Yii-der Ida Chen, W Mark Brown and 11 more

Abstract read
In one paragraph

Article in Annals of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Relevance of Multi-Omics Studies in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2019
    Review
  5. Article
  6. 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

21 authors.

Keri L TabbDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jacklyn N HellwegeDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Nicholette D PalmerDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Latchezar DimitrovCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Satria SajuthiCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Kent D TaylorInstitute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Maggie C Y NgCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Gregory A HawkinsCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Yii-der Ida ChenInstitute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
W Mark BrownCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
David McWilliamsCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Adrienne WilliamsCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Carlos LorenzoDepartment of Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA.
Lynne E WagenknechtCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Carl D LangefeldCenter for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Donald W BowdenDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African AmericansR01HG007112 · NHGRI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W, LANGEFELD, CARL D · 2012 to 2016
$4.8M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerR25CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, SHU, XIAO-OU · 2012 to 2016
$2.1M
NCATS NIH HHS UL1 TR000124NCI NIH HHS R25 CA160056NHGRI NIH HHS R01 HG007112NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

Family-based methods are a potentially powerful tool to identify trait-defining genetic variants in extended families, particularly when used to complement conventional association analysis. We utilized two-point linkage analysis and single variant association analysis to evaluate whole exome sequencing (WES) data from 1205 Hispanic Americans (78 families) from the Insulin Resistance Atherosclerosis Family Study. WES identified 211,612 variants above the minor allele frequency threshold of ≥0.005. These variants were tested for linkage and/or association with 50 cardiometabolic traits after quality control checks. Two-point linkage analysis yielded 10,580,600 logarithm of the odds (LOD) scores with 1148 LOD scores ≥3, 183 LOD scores ≥4, and 29 LOD scores ≥5. The maximal novel LOD score was 5.50 for rs2289043:T>C, in UNC5C with subcutaneous adipose tissue volume. Association analysis identified 13 variants attaining genome-wide significance (P < 5 × 10

Indexed as

ExomeAdiponectinAdolescentAdultAgedAged, 80 and overAtherosclerosisFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulin ResistanceLipidsLod ScoreMaleAdiponectinADIPOQ protein, humanLipidsCohort studygenetic varianceHispanicnovel variants

Identifiers

PMID28067407
PMCPMC5719883

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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.