Evidence map›Paper›PMID 24185094›Full record

ArticleNature biotechnology2013

Whole-genome haplotype reconstruction using proximity-ligation and shotgun sequencing.

Siddarth Selvaraj, Jesse R Dixon, Vikas Bansal, Bing Ren

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed
14.2field-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

170 citing papers in PubMed, 326 citations in OpenAlex.

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  13. CWL-Based Analysis Pipeline for Hi-C Data: From FASTQ Files to Matrices.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  14. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  15. Genome assembly in the telomere-to-telomere era.Nature reviews. Genetics · 2024
    Review
  16. Article
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Siddarth Selvaraj1] Ludwig Institute for Cancer Research, La Jolla, California, USA. [2] Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, California, USA. [3].
Jesse R Dixon
Vikas Bansal
Bing Ren
Ludwig Cancer Research · USScripps Research Institute · USUniversity of California, San Diego · US

Funding

The San Diego Epigenome CenterU01ES017166 · NIEHS · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2008 to 2013
$16.3M
NIEHS NIH HHS U01 ES017166NIEHS NIH HHS U01 ES017166).
6 · The paper itself

Abstract

Rapid advances in high-throughput sequencing facilitate variant discovery and genotyping, but linking variants into a single haplotype remains challenging. Here we demonstrate HaploSeq, an approach for assembling chromosome-scale haplotypes by exploiting the existence of 'chromosome territories'. We use proximity ligation and sequencing to show that alleles on homologous chromosomes occupy distinct territories, and therefore this experimental protocol preferentially recovers physically linked DNA variants on a homolog. Computational analysis of such data sets allows for accurate (∼99.5%) reconstruction of chromosome-spanning haplotypes for ∼95% of alleles in hybrid mouse cells with 30× sequencing coverage. To resolve haplotypes for a human genome, which has a low density of variants, we coupled HaploSeq with local conditional phasing to obtain haplotypes for ∼81% of alleles with ∼98% accuracy from just 17× sequencing. Whereas methods based on proximity ligation were originally designed to investigate spatial organization of genomes, our results lend support for their use as a general tool for haplotyping.

Indexed as

AlgorithmsBase SequenceChromosome MappingGenome, HumanHaplotypesHumansMolecular Sequence DataPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID24185094
PMCPMC4180835
OpenAlexW1995794660

What OpenQuestion holds

Textmetadata
LicenceTDM
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.