Evidence map›Paper›PMID 25424553›Full record

ArticleNature communications2014

Multiple haplotype-resolved genomes reveal population patterns of gene and protein diplotypes.

Margret R Hoehe, George M Church, Hans Lehrach, Thomas Kroslak, Stefanie Palczewski, Katja Nowick, Sabrina Schulz, Eun-Kyung Suk, Thomas Huebsch

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Margret R HoeheDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
Hans LehrachDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany.
Thomas KroslakDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany.
Stefanie PalczewskiDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany.
Katja NowickDepartment of Computer Science, University of Leipzig, Leipzig D-04107, Germany.
Sabrina SchulzDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany.
Eun-Kyung Suk1] Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany [2].
Thomas Huebsch1] Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin D-14195, Germany [2].
Max Planck Institute for Molecular Genetics · DEMax Planck Society · DEHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To fully understand human biology and link genotype to phenotype, the phase of DNA variants must be known. Here we present a comprehensive analysis of haplotype-resolved genomes to assess the nature and variation of haplotypes and their pairs, diplotypes, in European population samples. We use a set of 14 haplotype-resolved genomes generated by fosmid clone-based sequencing, complemented and expanded by up to 372 statistically resolved genomes from the 1000 Genomes Project. We find immense diversity of both haploid and diploid gene forms, up to 4.1 and 3.9 million corresponding to 249 and 235 per gene on average. Less than 15% of autosomal genes have a predominant form. We describe a 'common diplotypic proteome', a set of 4,269 genes encoding two different proteins in over 30% of genomes. We show moreover an abundance of cis configurations of mutations in the 386 genomes with an average cis/trans ratio of 60:40, and distinguishable classes of cis- versus trans-abundant genes. This work identifies key features characterizing the diplotypic nature of human genomes and provides a conceptual and analytical framework, rich resources and novel hypotheses on the functional importance of diploidy.

Indexed as

DiploidyGenome, HumanCohort StudiesGenetics, PopulationGenetic VariationGermanyHaplotypesHumansMutationPolymorphism, Single NucleotideProteinsWhite PeopleProteins

Identifiers

PMID25424553
PMCPMC4263165
OpenAlexW2135367584

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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.