Evidence map›Paper›PMID 24819747›Full record

SynthesisAtherosclerosis2014

Linkage analysis incorporating gene-age interactions identifies seven novel lipid loci: the Family Blood Pressure Program.

Jeannette Simino, Rezart Kume, Aldi T Kraja, Stephen T Turner, Craig L Hanis, Wayne Sheu, Ida Chen, Cashell Jaquish, Richard S Cooper, Aravinda Chakravarti and 4 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Atherosclerosis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jeannette Simino *Division of Biostatistics, Washington University in St. Louis, School of Medicine, Saint Louis, Missouri, USA.
Rezart Kume *Division of Biostatistics, Washington University in St. Louis, School of Medicine, Saint Louis, Missouri, USA.
Aldi T KrajaDivision of Statistical Genomics Washington University in St. Louis, School of Medicine, Saint Louis, Missouri, USA.
Stephen T TurnerDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Craig L HanisHuman Genetics Center, University of Texas Health Science Center, Houston, Texas, USA.
Wayne SheuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Ida ChenInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502.
Cashell JaquishDivision of Cardiovascular Sciences, National Heart, Lung, Blood Institute, Bethesda, Maryland, USA.
Richard S CooperDepartment of Preventive Medicine and Epidemiology, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
Aravinda ChakravartiMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Thomas QuertermousDepartment of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, USA.
Eric BoerwinkleHuman Genetics Center, University of Texas Health Science Center, Houston, Texas, USA.
Steven C HuntDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
D C RaoDivision of Biostatistics, Washington University in St. Louis, School of Medicine, Saint Louis, Missouri, USA.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
HYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1M
A Multi-Ethnic Study of Gene-Lifestyle Interactions in Cardiovascular TraitsR01HL118305 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2014 to 2017
$8.3M
The Family Blood Pressure Program (HyperGEN Network)U01HL054471 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 2000 to 2007
$7.4M
The Family Blood Pressure Program (GENOA Network)U01HL054481 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 2000 to 2007
$6.7M
Rare Variants for Hypertension in Taiwan ChineseR01HL111249 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2012 to 2015
$6.4M
The Family Blood Pressure Program (SAPPHIRe Network)U01HL054498 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI CURB, JESS DAVID · 1995 to 2007
$5.9M
GENETIC DETERMINANTS OF HIGH BLOOD PRESSUREU01HL054512 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEDER, ALAN B · 2000 to 2007
$5.8M
The Family Blood Pressure Program (Program Data Center)U01HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2000 to 2008
$5.8M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR000135NHLBI NIH HHS HL54471NHLBI NIH HHS HL54473NHLBI NIH HHS HL54481NHLBI NIH HHS HL54498NHLBI NIH HHS HL54512NHLBI NIH HHS R01 HL055673NHLBI NIH HHS R01HL055673NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL107552NHLBI NIH HHS R01HL107552NHLBI NIH HHS R01 HL111249NHLBI NIH HHS R01HL111249NHLBI NIH HHS R01 HL118305NHLBI NIH HHS R01HL118305NHLBI NIH HHS R21 HL095054NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054481NHLBI NIH HHS U01 HL054498NHLBI NIH HHS U01 HL054512NHLBI NIH HHS U10 HL054471NHLBI NIH HHS U10 HL054473NHLBI NIH HHS U10 HL054481NHLBI NIH HHS U10 HL054512NIDDK NIH HHS P30 DK063491NIGMS NIH HHS R01 GM028719
6 · The paper itself

Abstract

objectiveTo detect novel loci with age-dependent effects on fasting (≥ 8 h) levels of total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglycerides using 3600 African Americans, 1283 Asians, 3218 European Americans, and 2026 Mexican Americans from the Family Blood Pressure Program (FBPP).

methodsWithin each subgroup (defined by network, race, and sex), we employed stepwise linear regression (retention p ≤ 0.05) to adjust lipid levels for age, age-squared, age-cubed, body-mass-index, current smoking status, current drinking status, field center, estrogen therapy (females only), as well as antidiabetic, antihypertensive, and antilipidemic medication use. For each trait, we pooled the standardized male and female residuals within each network and race and fit a generalized variance components model that incorporated gene-age interactions. We conducted FBPP-wide and race-specific meta-analyses by combining the p-values of each linkage marker across subgroups using a modified Fisher's method.

resultsWe identified seven novel loci with age-dependent effects; four total cholesterol loci from the meta-analysis of Mexican Americans (on chromosomes 2q24.1, 4q21.21, 8q22.2, and 12p11.23) and three high-density lipoprotein loci from the meta-analysis of all FBPP subgroups (on chromosomes 1p12, 14q11.2, and 21q21.1). These loci lacked significant genome-wide linkage or association evidence in the literature and had logarithm of odds (LOD) score ≥ 3 in the meta-analysis with LOD ≥ 1 in at least two network and race subgroups (exclusively of non-European descent).

conclusionIncorporating gene-age interactions into the analysis of lipids using multi-ethnic cohorts can enhance gene discovery. These interaction loci can guide the selection of families for sequencing studies of lipid-associated variants.

Indexed as

Age FactorsGenetic LinkageAdultAsianAsian PeopleBlack or African AmericanBlack PeopleBlood PressureCholesterolCholesterol, HDLCholesterol, LDLCoronary DiseaseEthnicityFamily HealthFemaleGenetic MarkersCholesterolCholesterol, HDLCholesterol, LDLGenetic MarkersLipidsAgingCholesterolGene–age interactionsGeneticsLinkageLipidsMeta-analysisTriglyceride

Identifiers

PMID24819747
PMCPMC4322916

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Registered trials

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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.