Evidence map›Paper›PMID 32620158›Full record

ArticleBMC biology2020

Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human.

Shuli Liu, Ying Yu, Shengli Zhang, John B Cole, Albert Tenesa, Ting Wang, Tara G McDaneld, Li Ma, George E Liu, Lingzhao Fang

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2020. 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
20.9field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 71 citations in OpenAlex.

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  9. Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  15. Harnessing male germline epigenomics for the genetic improvement in cattle.Journal of animal science and biotechnology · 2023
    Review
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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

10 authors at 5 institutions in 3 countries.

Shuli LiuAnimal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, BARC-East, Beltsville, MD, 20705, USA.
Ying YuCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Shengli ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
John B ColeAnimal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, BARC-East, Beltsville, MD, 20705, USA.
Albert TenesaMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Ting WangDepartment of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Tara G McDaneldUS Meat Animal Research Center, Agricultural Research Service, USDA, Clay Center, NE, 68933, USA.
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA. lima@umd.edu.
George E LiuAnimal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, BARC-East, Beltsville, MD, 20705, USA. George.Liu@usda.gov.ORCID 0000-0003-0192-6705
Lingzhao FangAnimal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, BARC-East, Beltsville, MD, 20705, USA. Lingzhao.fang@igmm.ed.ac.uk.
Agricultural Research Service · USChina Agricultural University · CNRoslin Institute · GBUniversity of Maryland, College Park · USWashington University in St. Louis · US

Funding

The WashU-UCSC-EBI Human Genome Reference Center."U41HG010972 · NHGRI · WASHINGTON UNIVERSITY · PI Ira M Hall, Heng Li · 2019 to 2026
$24.9M
THE WASHU TARGET ENVIRONMENTAL EPIGENOMICS DATA COORDINATION CENTERU24ES026699 · NIEHS · WASHINGTON UNIVERSITY · PI WANG, TING · 2016 to 2021
$5.2M
RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICSR25DA027995 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN, RICE, JOHN P. · 2009 to 2019
$4.3M
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATIONR01HG007175 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2021
$2.7M
The WashU 4DN Network Data Coordination and Integration CenterU01CA200060 · NCI · WASHINGTON UNIVERSITY · PI WANG, TING · 2015 to 2019
$1.9M
Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/30002275H2020 Marie Skłodowska-Curie Actions 801215HDR-UK HDR-9004Medical Research Council MR/P015514/1MRF MR/P015514/1National Institute of Food and Agriculture 2013-67015-20951National Institute of Food and Agriculture 2016-67015-24886National Institute of Food and Agriculture 2019-67015-29321NCI NIH HHS U01 CA200060NHGRI NIH HHS R01 HG007175NHGRI NIH HHS U41 HG010972NIDA NIH HHS R25 DA027995NIEHS NIH HHS U24 ES026699United States - Israel Binational Agricultural Research and Development Fund US-4997-17
6 · The paper itself

Abstract

backgroundLack of comprehensive functional annotations across a wide range of tissues and cell types severely hinders the biological interpretations of phenotypic variation, adaptive evolution, and domestication in livestock. Here we used a combination of comparative epigenomics, genome-wide association study (GWAS), and selection signature analysis, to shed light on potential adaptive evolution in cattle.

resultsWe cross-mapped 8 histone marks of 1300 samples from human to cattle, covering 178 unique tissues/cell types. By uniformly analyzing 723 RNA-seq and 40 whole genome bisulfite sequencing (WGBS) datasets in cattle, we validated that cross-mapped histone marks captured tissue-specific expression and methylation, reflecting tissue-relevant biology. Through integrating cross-mapped tissue-specific histone marks with large-scale GWAS and selection signature results, we for the first time detected relevant tissues and cell types for 45 economically important traits and artificial selection in cattle. For instance, immune tissues are significantly associated with health and reproduction traits, multiple tissues for milk production and body conformation traits (reflecting their highly polygenic architecture), and thyroid for the different selection between beef and dairy cattle. Similarly, we detected relevant tissues for 58 complex traits and diseases in humans and observed that immune and fertility traits in humans significantly correlated with those in cattle in terms of relevant tissues, which facilitated the identification of causal genes for such traits. For instance, PIK3CG, a gene highly specifically expressed in mononuclear cells, was significantly associated with both age-at-menopause in human and daughter-still-birth in cattle. ICAM, a T cell-specific gene, was significantly associated with both allergic diseases in human and metritis in cattle.

conclusionCollectively, our results highlighted that comparative epigenomics in conjunction with GWAS and selection signature analyses could provide biological insights into the phenotypic variation and adaptive evolution. Cattle may serve as a model for human complex traits, by providing additional information beyond laboratory model organisms, particularly when more novel phenotypes become available in the near future.

Indexed as

Genetic Association StudiesGenome-Wide Association StudyHistone CodeAnimalsCattleEpigenomeEpigenomicsHumansMultifactorial InheritanceComparative epigenomicsGWAS enrichmentHuman-cattle comparisonTrait-relevant tissues

Identifiers

PMID32620158
PMCPMC7334855
OpenAlexW3039668982

What OpenQuestion holds

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LicenceCC BY
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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.