Evidence map›Paper›PMID 27585849›Full record

ArticleGenetics2016

Heterozygosity Ratio, a Robust Global Genomic Measure of Autozygosity and Its Association with Height and Disease Risk.

David C Samuels, Jing Wang, Fei Ye, Jing He, Rebecca T Levinson, Quanhu Sheng, Shilin Zhao, John A Capra, Yu Shyr, Wei Zheng and 1 more

Abstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

11 authors.

David C SamuelsVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics and.
Jing WangDepartment of Cancer Biology and.
Fei YeDepartment of Biostatistics, Vanderbilt University, Nashville, Tennessee 37232.
Jing HeVanderbilt Epidemiology Center, Vanderbilt School of Medicine, Nashville, Tennessee 37232.
Rebecca T LevinsonVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics and.
Quanhu ShengVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics and.
Shilin ZhaoVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics and.
John A CapraVanderbilt Genetics Institute, Department of Biomedical Informatics, Vanderbilt University Medical School, Nashville, Tennessee 37232.
Yu ShyrVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics and.
Wei ZhengVanderbilt Epidemiology Center, Vanderbilt School of Medicine, Nashville, Tennessee 37232.
Yan GuoDepartment of Cancer Biology and yan.guo@vanderbilt.edu.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
Cancer Risk Reduction and Diet: A Cohort Study of WomenR37CA070867 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2009 to 2013
$4.7M
Training Program on Genetic Variation and Human PhenotypesT32GM080178 · NIGMS · VANDERBILT UNIVERSITY · PI COX, NANCY J, SAMUELS, DAVID C · 2007 to 2021
$3.1M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
GPU-Accelerated Parallel Computer for Drug Discovery ApplicationsS10OD020154 · OD · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2015 to 2015
$225k
Elastic Net Analysis of Phenotype Relationships in Association StudiesR03HG008055 · NHGRI · VANDERBILT UNIVERSITY · PI SAMUELS, DAVID C, YE, FEI · 2014 to 2015
$157k
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA064277NCI NIH HHS R01 CA118229NCI NIH HHS R37 CA070867NCI NIH HHS UM1 CA182910NHGRI NIH HHS R03 HG008055NIGMS NIH HHS T32 GM080178
6 · The paper itself

Abstract

Greater genetic variability in an individual is protective against recessive disease. However, existing quantifications of autozygosity, such as runs of homozygosity (ROH), have proved highly sensitive to genotyping density and have yielded inconclusive results about the relationship of diversity and disease risk. Using genotyping data from three data sets with >43,000 subjects, we demonstrated that an alternative approach to quantifying genetic variability, the heterozygosity ratio, is a robust measure of diversity and is positively associated with the nondisease trait height and several disease phenotypes in subjects of European ancestry. The heterozygosity ratio is the number of heterozygous sites in an individual divided by the number of nonreference homozygous sites and is strongly affected by the degree of genetic admixture of the population and varies across human populations. Unlike quantifications of ROH, the heterozygosity ratio is not sensitive to the density of genotyping performed. Our results establish the heterozygosity ratio as a powerful new statistic for exploring the patterns and phenotypic effects of different levels of genetic variation in populations.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanHeterozygoteBody HeightGene FrequencyHumansPolymorphism, Geneticheightheterozygosity ratioPheWASruns of homozygosity

Identifiers

PMID27585849
PMCPMC5105867

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.