Evidence map›Paper›PMID 27917522›Full record

ArticleGenetic epidemiology2017

Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome.

Heming Wang, Yoonha Choi, Bamidele Tayo, Xuefeng Wang, Nathan Morris, Xiang Zhang, Uli Broeckel, Craig Hanis, Sharon Kardia, Susan Redline and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
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 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Human genetic admixture.PLoS genetics · 2021
    Review
  4. Article
  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

13 authors at 8 institutions in 1 country.

Heming WangDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
Yoonha ChoiDepartment of Genetics, Stanford University, Stanford, CA, USA.
Bamidele TayoDepartment of Public Health Science, Loyola University Medical Center, Maywood, IL, USA.
Xuefeng WangDepartments of Preventive Medicine, Biomedical Informatics, and Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.
Nathan MorrisDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
Xiang ZhangDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA.
Uli BroeckelHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Craig HanisDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Sharon KardiaDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Susan RedlineDepartment of Medicine, Harvard Medical School, Boston, MA, USA.
Richard S CooperDepartment of Public Health Science, Loyola University Medical Center, Maywood, IL, USA.
Hua TangDepartment of Genetics, Stanford University, Stanford, CA, USA.
Xiaofeng ZhuDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
Case Western Reserve University · USLoyola University Medical Center · USStanford University · USHarvard University · USMedical College of Wisconsin · USStony Brook University · USThe University of Texas Health Science Center at Houston · USUniversity of Michigan–Ann Arbor · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
HYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1M
GENETICS OF HYPERTENSION IN BLACKSR01HL053353 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI COOPER, RICHARD STANLEY · 1995 to 2013
$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 (Program Data Center)U01HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2000 to 2008
$5.8M
Genomic Predictors of Arteriosclerosis in HypertensivesR01HL087660 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2007 to 2009
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Statistical methods for analyzing high-throughput genotype dataR01HG003054 · NHGRI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2005 to 2017
$3.6M
FAMILIAL AGGREGATION OF OBSTRUCTIVE SLEEP APNEAR01HL046380 · NHLBI · UNIVERSITY HOSPITALS OF CLEVELAND · PI REDLINE, SUSAN S · 1990 to 2005
$3.5M
Fine Mapping of Hypertension Genes Detected by Admixture Mapping in the FBPPR01HL086718 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI ZHU, XIAOFENG · 2007 to 2011
$3.3M
NHLBI FAMILY BLOOD PRESSURE PROGRAM-HYPERGEN-MPLS FCU01HL054496 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PANKOW, JAMES S · 2000 to 2004
$3.2M
NCI NIH HHS P30 CA076292NCRR NIH HHS UL1 RR024156NHGRI NIH HHS R01 HG003054NHLBI NIH HHS N01 HC005187NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC045134NHLBI NIH HHS N01 HC045204NHLBI NIH HHS N01 HC045205NHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC048048NHLBI NIH HHS N01 HC048049NHLBI NIH HHS N01 HC048050NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC065226NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL046380NHLBI NIH HHS R01 HL053353NHLBI NIH HHS R01 HL055673NHLBI NIH HHS R01 HL086718NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL119443NHLBI NIH HHS RC1 HL100245NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054472NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054495NHLBI NIH HHS U01 HL054496NHLBI NIH HHS U01 HL054497NHLBI NIH HHS U01 HL054509NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U10 HL054471NHLBI NIH HHS U10 HL054472NHLBI NIH HHS U10 HL054473NHLBI NIH HHS U10 HL054495NHLBI NIH HHS U10 HL054496NHLBI NIH HHS U10 HL054497NHLBI NIH HHS U10 HL054509NIGMS NIH HHS R01 GM073059WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

The role played by epistasis between alleles at unlinked loci in shaping population fitness has been debated for many years and the existing evidence has been mainly accumulated from model organisms. In model organisms, fitness epistasis can be systematically inferred by detecting nonindependence of genotypic values between loci in a population and confirmed through examining the number of offspring produced in two-locus genotype groups. No systematic study has been conducted to detect epistasis of fitness in humans owing to experimental constraints. In this study, we developed a novel method to detect fitness epistasis by testing the correlation between local ancestries on different chromosomes in an admixed population. We inferred local ancestry across the genome in 16,252 unrelated African Americans and systematically examined the pairwise correlations between the genomic regions on different chromosomes. Our analysis revealed a pair of genomic regions on chromosomes 4 and 6 that show significant local ancestry correlation (P-value = 4.01 × 10

Indexed as

Genome, HumanGenome-Wide Association StudyModels, GeneticBlack or African AmericanCardiovascular DiseasesCohort StudiesEpistasis, GeneticGenetic MarkersGenetics, PopulationGenotypeHumansGenetic Markersadmixed populationcoevolutionepistasis of fitnessnatural selection

Identifiers

PMID27917522
PMCPMC5226866
OpenAlexW2560001398

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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.