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 and Thomas Huebsch
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Margret R. Hoehe: Max Planck Institute for Molecular Genetics
George M. Church: Harvard Medical School
Hans Lehrach: Max Planck Institute for Molecular Genetics
Thomas Kroslak: Max Planck Institute for Molecular Genetics
Stefanie Palczewski: Max Planck Institute for Molecular Genetics
Katja Nowick: University of Leipzig
Sabrina Schulz: Max Planck Institute for Molecular Genetics
Eun-Kyung Suk: Max Planck Institute for Molecular Genetics
Thomas Huebsch: Max Planck Institute for Molecular Genetics

Nature Communications, 2014, vol. 5, issue 1, 1-12

Abstract: 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.

Date: 2014
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DOI: 10.1038/ncomms6569

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