Evidence map›Paper›PMID 31530818›Full record

ArticleNature communications2019

Identification of significant chromatin contacts from HiChIP data by FitHiChIP.

Sourya Bhattacharyya, Vivek Chandra, Pandurangan Vijayanand, Ferhat Ay

Abstract readEvaluation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.

0numbers the graph read from it
0cells of the map it votes in
174citing 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

174 citing papers in PubMed.

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114 more citing papers are in PubMed but not listed here.

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

4 authors.

Sourya BhattacharyyaDivision of Vaccine Discovery, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA.
Vivek ChandraDivision of Vaccine Discovery, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA.
Pandurangan VijayanandDivision of Vaccine Discovery, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA.
Ferhat AyDivision of Vaccine Discovery, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA. ferhatay@lji.org.ORCID http://orcid.org/0000-0002-0708-6914

Funding

Research Resources: Epigenomic and Transcriptomic Profiles of Human Immune CellsR24AI108564 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI MITCHELL KRONENBERG, Bjoern Peters · 2014 to 2026
$12.1M
Epigenomics of T cells and innate immune cells in human asthmaR01HL114093 · NHLBI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI ARSHAD, SYED HASAN, PETERS, BJOERN · 2011 to 2020
$8.5M
Studying the function of human genetic variation in the light of 3D genome organizationR35GM128938 · NIGMS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Ferhat Ay · 2018 to 2026
$4.6M
NHLBI NIH HHS R01 HL114093NIAID NIH HHS R24 AI108564NIGMS NIH HHS R35 GM128938
6 · The paper itself

Abstract

HiChIP/PLAC-seq is increasingly becoming popular for profiling 3D chromatin contacts among regulatory elements and for annotating functions of genetic variants. Here we describe FitHiChIP, a computational method for loop calling from HiChIP/PLAC-seq data, which jointly models the non-uniform coverage and genomic distance scaling of contact counts to compute statistical significance estimates. We also develop a technique to filter putative bystander loops that can be explained by stronger adjacent loops. Compared to existing methods, FitHiChIP performs better in recovering contacts reported by Hi-C, promoter capture Hi-C and ChIA-PET experiments and in capturing previously validated promoter-enhancer interactions. FitHiChIP loop calls are reproducible among replicates and are consistent across different experimental settings. Our work also provides a framework for differential HiChIP analysis with an option to utilize ChIP-seq data for further characterizing differential loops. Even though designed for HiChIP, FitHiChIP is also applicable to other conformation capture assays.

Indexed as

AnimalsBinding SitesChromatinChromatin ImmunoprecipitationComputational BiologyEnhancer Elements, GeneticGenomicsMicePromoter Regions, GeneticChromatin

Identifiers

PMID31530818
PMCPMC6748947

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.