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Chronic obstructive pulmonary disease (COPD) is a destructive inflammatory disease and the genes expressed within the lung are crucial to its pathophysiology. We have determined the RNAseq transcriptome of bronchial brush cells from 312 stringently defined ex-smoker patients. Compared to healthy controls there were for males 40 differentially expressed genes (DEGs) and 73 DEGs for females with only 26 genes shared. The gene ontology (GO) term "response to bacterium" was shared, with several different DEGs contributing in males and females. Strongly upregulated genes TCN1 and CYP1B1 were unique to males and females, respectively. For male emphysema (E)-dominant and airway disease (A)-dominant COPD (defined by computed tomography) the term "response to stress" was found for both sub-phenotypes, but this included distinct up-regulated genes for the E-sub-phenotype (neutrophil-related CSF3R, CXCL1, MNDA) and for the A-sub-phenotype (macrophage-related KLF4, F3, CD36). In E-dominant disease, a cluster of mitochondria-encoded (MT) genes forms a signature, able to identify patients with emphysema features in a confirmation cohort. The MT-CO2 gene is upregulated transcriptionally in bronchial epithelial cells with the copy number essentially unchanged. Both MT-CO2 and the neutrophil chemoattractant CXCL1 are induced by reactive oxygen in bronchial epithelial cells. Of the female DEGs unique for E- and A-dominant COPD, 88% were detected in females only. In E-dominant disease we found a pronounced expression of mast cell-associated DEGs TPSB2, TPSAB1 and CPA3. The differential genes discovered in this study point towards involvement of different types of leukocytes in the E- and A-dominant COPD sub-phenotypes in males and females. ; This work was supported by the European Union, FP7 project # 200506. We acknowledge the helpful discussions with Emanuele Raineri, Barcelona, Spain and with Wilfried Karmaus, Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, Tennessee, USA. CNAG-CRG lab is a member of the Spanish National Bioinformatics Institute (INB), PRB2-ISCIII and is supported by grant PT13/0001 of the PE I+D+i 2013-2016, funded by ISCIII and FEDER. Work by CB at Leicester and by LZH at Munich was also supported the European Union FP7 project # 270194.

DNA methylation is an epigenetic modification involved in regulatory processes such as cell differentiation during development, X-chromosome inactivation, genomic imprinting and susceptibility to complex disease. However, the dynamics of DNA methylation changes between humans and their closest relatives are still poorly understood. We performed a comparative analysis of CpG methylation patterns between 9 humans and 23 primate samples including all species of great apes (chimpanzee, bonobo, gorilla and orangutan) using Illumina Methylation450 bead arrays. Our analysis identified ∼800 genes with significantly altered methylation patterns among the great apes, including ∼170 genes with a methylation pattern unique to human. Some of these are known to be involved in developmental and neurological features, suggesting that epigenetic changes have been frequent during recent human and primate evolution. We identified a significant positive relationship between the rate of coding variation and alterations of methylation at the promoter level, indicative of co-occurrence between evolution of protein sequence and gene regulation. In contrast, and supporting the idea that many phenotypic differences between humans and great apes are not due to amino acid differences, our analysis also identified 184 genes that are perfectly conserved at protein level between human and chimpanzee, yet show significant epigenetic differences between these two species. We conclude that epigenetic alterations are an important force during primate evolution and have been under-explored in evolutionary comparative genomics. © 2013 Hernando-Herraez et al. ; TMB is supported by the European Research Council (ERC Starting Grant, StG_20091118) and the Spanish Government (BFU2011-28549). AJS is supported by NIH grants 1R01DA033660, 1R01HG006696, and a grant from the Alzheimer's Association (2012ALZNIRG69983). IHH is supported by the European Social Fund, AGAUR (Generalitat de Catalunya, Spain) and the Spanish National Research Council (CSIC). We also thank the Spanish Government for the grant BFU2009-13409-C02-02 to AN and the Barcelona Zoo (Ajuntament de Barcelona) for an award to JPM. ; Peer Reviewed

Olalde, Iñigo et al.-- This work is licensed under a Creative Commons Attribution 3.0 Unported License. ; A pyrographically decorated gourd, dated to the French Revolution period, has been alleged to contain a handkerchief dipped into the blood of the French king Louis XVI (1754-1793) after his beheading but recent analyses of living males from two Bourbon branches cast doubts on its authenticity. We sequenced the complete genome of the DNA contained in the gourd at low coverage (∼2.5×) with coding sequences enriched at a higher ∼7.3× coverage. We found that the ancestry of the gourd's genome does not seem compatible with Louis XVI's known ancestry. From a functional perspective, we did not find an excess of alleles contributing to height despite being described as the tallest person in Court. In addition, the eye colour prediction supported brown eyes, while Louis XVI had blue eyes. This is the first draft genome generated from a person who lived in a recent historical period; however, our results suggest that this sample may not correspond to the alleged king. ; This work is supported by FEDER and Spanish Government grants BFU2012-38236 and the Spanish Multiple Sclerosis Netowrk (REEM) of the Instituto de Salud Carlos III (RD12/0032/0011) to A.N., BFU2011-28549 and ERC Starting Grant (260372) to T.M.-B. and BFU2012-34157 to C.L.-F. and S.C., and a predoctoral fellowship from the Basque Government (DEUI) to I.O. ; Peer Reviewed

Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP's Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics. ; The Solve-RD project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 779257. Data were analysed using the RD‐Connect Genome‐Phenome Analysis Platform, which received funding from EU projects RD‐Connect, Solve-RD and EJP-RD (grant numbers FP7 305444, H2020 779257, H2020 825575), Instituto de Salud Carlos III (grant numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB) and ELIXIR Implementation Studies.

Prado-Martinez, Javier et al. ; Most great ape genetic variation remains uncharacterized1,2; however, its study is critical for understanding population history3–6, recombination7, selection8 and susceptibility to disease9,10.Herewe sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria–Cameroon/western and central/ eastern populations.Wefind extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over timein different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genomediversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations. ; We thank the following funding agencies: ERC Starting Grant (260372) to T.M.-B.; NIH grants HG002385 to E.E.E., R01_HG005226 to K.R.V., A.E.W., M.F.H., L.S. and J.D.W., GM100233 and NSF HOMINID grant 1032255 to D.R. and He.Li.;MICINN(Spain)BFU2011-28549to T.M.-B.,BFU2010-19443to Ja.Be.,Spanish Government and FEDER for grants BFU2009-13409-C02-02 and BFU2012-38236 to A.N. and J.P.-M., Direccio´ General de Recerca, Generalitat de Catalunya (Grup de Recerca Consolidat 2009 SGR 1101) to Ja.Be., D.C., A.N. and T.M.-B.; ERC Advanced Grant (233297) and Max Planck Society to S. Paabo; Danish Council for Independent Research Natural Sciences to H.S.; Spanish Grant (CGL-2010-20170) and Zoo de Barcelona (Beca PRIC) to A.R.-H.; EUPRIM-Net to BPRC; DP1ES022577-04 NIH grant to S.A.T.; NSF Grant 0755823 to M.K.G.; P.G. is supported by the G. Harold and Leila Y. Mathers Foundation. A.N. and T.M.-B. are ICREA Research Investigators (Institut Catala d'Estudis i RecercaAvancats delaGeneralitat deCatalunya). J.P.-M. is supported by the Zoo de Barcelona and l'Ajuntament de Barcelona. ; Peer reviewed

Ancient genomic sequences have started to reveal the origin and the demographic impact of farmers from the Neolithic period spreading into Europe. The adoption of farming, stock breeding and sedentary societies during the Neolithic may have resulted in adaptive changes in genes associated with immunity and diet. However, the limited data available from earlier hunter-gatherers preclude an understanding of the selective processes associated with this crucial transition to agriculture in recent human evolution. Here we sequence an approximately 7,000-year-old Mesolithic skeleton discovered at the La Braña-Arintero site in León, Spain, to retrieve a complete pre-agricultural European human genome. Analysis of this genome in the context of other ancient samples suggests the existence of a common ancient genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic. The La Braña individual carries ancestral alleles in several skin pigmentation genes, suggesting that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times. Moreover, we provide evidence that a significant number of derived, putatively adaptive variants associated with pathogen resistance in modern Europeans were already present in this hunter-gatherer. ; The POPRES data were obtained from dbGaP (accession number # 2038). The Danish National Research Foundation, ERC Starting Grant (260372) to TM-B, and (310372) to MGN, FEDER and Spanish Government Grants BFU2009-13409-C02-02, BFU2012-38236 to AN, BFU2011-28549 to TM-B, BFU2012-34157 to CL-F, ERC (Marie Cure Actions) to MEA, NIH NRSA postdoctoral fellowship (F32GM106656) to CWKC, NIH (R01-HG007089) to JN, NSF postdoctoral fellowship (DBI-1103639) to MDG

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License.-- et al. ; [Background]: The only known albino gorilla, named Snowflake, was a male wild born individual from Equatorial Guinea who lived at the Barcelona Zoo for almost 40 years. He was diagnosed with non-syndromic oculocutaneous albinism, i.e. white hair, light eyes, pink skin, photophobia and reduced visual acuity. Despite previous efforts to explain the genetic cause, this is still unknown. Here, we study the genetic cause of his albinism and making use of whole genome sequencing data we find a higher inbreeding coefficient compared to other gorillas. ; [Results]: We successfully identified the causal genetic variant for Snowflake's albinism, a non-synonymous single nucleotide variant located in a transmembrane region of SLC45A2. This transporter is known to be involved in oculocutaneous albinism type 4 (OCA4) in humans. We provide experimental evidence that shows that this amino acid replacement alters the membrane spanning capability of this transmembrane region. Finally, we provide a comprehensive study of genome-wide patterns of autozygogosity revealing that Snowflake's parents were related, being this the first report of inbreeding in a wild born Western lowland gorilla. ; [Conclusions]: In this study we demonstrate how the use of whole genome sequencing can be extended to link genotype and phenotype in non-model organisms and it can be a powerful tool in conservation genetics (e.g., inbreeding and genetic diversity) with the expected decrease in sequencing cost. ; The Spanish Government for grants BFU2010-14839 to JLG-S, Spanish Government and FEDER for grants BFU2009-13409-C02-02 and BFU2012-38236 to AN and JP-M, BFU2012-39482 to IM, and BFU2011-28549 to TM-B The Andalusian Government for grants CSD2007-00008 and CVI-3488, supported by FEDER to JLG-S The Barcelona Zoo (Ajuntament de Barcelona) for an award to JP-M. EEE is an investigator with the Howard Hughes Medical Institute.The European Community for an ERC Starting Grant (StG_20091118)) to TM-B. ; Peer Reviewed

A pyrographically decorated gourd, dated to the French Revolution period, has been alleged to contain a handkerchief dipped into the blood of the French king Louis XVI (1754–1793) after his beheading but recent analyses of living males from two Bourbon branches cast doubts on its authenticity. We sequenced the complete genome of the DNA contained in the gourd at low coverage (2.5×) with coding sequences enriched at a higher 7.3× coverage. We found that the ancestry of the gourd's genome does not seem compatible with Louis XVI's known ancestry. From a functional perspective, we did not find an excess of alleles contributing to height despite being described as the tallest person in Court. In addition, the eye colour prediction supported brown eyes, while Louis XVI had blue eyes. This is the first draft genome generated from a person who lived in a recent historical period; however, our results suggest that this sample may not correspond to the alleged king. ; This work is supported by FEDER and Spanish Government grants BFU2012-38236 and the Spanish Multiple Sclerosis Netowrk (REEM) of the Instituto de Salud Carlos III (RD12/0032/0011) to A.N., BFU2011-28549 and ERC Starting Grant (260372) to T.M.-B. and BFU2012-34157 to C.L.-F. and S.C., and a predoctoral fellowship from the Basque Government (DEUI) to I.O

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is processed through a standardized pipeline. After an optional embargo period, the data are shared with other platform users, with the objective that similar cases in the system and queries from peers may help diagnose the case. Additionally, the platform enables bidirectional discovery of similar cases in other databases from the Matchmaker Exchange network. To facilitate genome-phenome analysis and interpretation by clinical researchers, the RD-Connect GPAP provides a powerful user-friendly interface and leverages tens of information sources. As a result, the resource has already helped diagnose hundreds of rare disease patients and discover new disease causing genes. ; We acknowledge the support of the developers of PhenoTips, which was used in the past by RD-Connect and NeurOmics as the primary tool to collate phenotypic data. We would also like to thank the leaders and members of the Instituto Nacional de Bioinformática (INB) and ELIXIR for their support and collaboration throughout the years. RD-Connect (RD-Connect, an integrated platform connecting registries, biobanks, and clinical bioinformatics) received funding from the Seventh Framework (FP7) Programme of the European Union under grant agreement No 305444. Data were analyzed using the RD-Connect GPAP, which received funding from EU ...

Most great ape genetic variation remains uncharacterized1, 2; however, its study is critical for understanding population history3, 4, 5, 6, recombination7, selection8 and susceptibility to disease9, 10. Here we sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria–Cameroon/western and central/eastern populations. We find extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over time in different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations. ; We thank the following funding agencies: ERC Starting Grant (260372) to T.M.-B.;NIH grants HG002385 to E.E.E., R01_HG005226 to K.R.V., A.E.W., M.F.H., L.S. and J.D.W., GM100233 and NSF HOMINID grant 1032255 to D.R. and He.Li.;MICINN(Spain)BFU2011-28549toT.M.-B.,BFU2010-19443toJa.Be.,Spanish Government and FEDER for grants BFU2009-13409-C02-02 and BFU2012-38236 to A.N. and J.P.-M., Direcció General de Recerca, Generalitat de Catalunya (Grup de Recerca Consolidat 2009 SGR 1101) to Ja.Be., D.C., A.N. and T.M.-B.; ERC Advanced Grant (233297) and Max Planck Society to S. Paabo; Danish Council for Independent Research Natural Sciences to H.S.; Spanish Grant (CGL-2010-20170) and Zoo de Barcelona (Beca PRIC) to A.R.-H.; EUPRIM-Net to BPRC; DP1ES022577-04 NIH grant to S.A.T.; NSF Grant 0755823 to M.K.G.; P.G. is supported by the G. Harold and Leila Y. Mathers Foundation. A.N. and T.M.-B. are ICREA Research Investigators (Institut Català d'Estudis i Recerca Avançats de la Generalitat de Catalunya).J.P.-M.is supported by the Zoo de Barcelona and l'Ajuntament de Barcelona. P.H.S. is supported by an HHMI International Student Fellowship. E.E.E. is an investigator with the Howard Hughes Medical Institute.

BACKGROUND: The only known albino gorilla, named Snowflake, was a male wild born individual from Equatorial Guinea who lived at the Barcelona Zoo for almost 40 years. He was diagnosed with non-syndromic oculocutaneous albinism, i.e. white hair, light eyes, pink skin, photophobia and reduced visual acuity. Despite previous efforts to explain the genetic cause, this is still unknown. Here, we study the genetic cause of his albinism and making use of whole genome sequencing data we find a higher inbreeding coefficient compared to other gorillas./n/nRESULTS: We successfully identified the causal genetic variant for Snowflake's albinism, a non-synonymous single nucleotide variant located in a transmembrane region of SLC45A2. This transporter is known to be involved in oculocutaneous albinism type 4 (OCA4) in humans. We provide experimental evidence that shows that this amino acid replacement alters the membrane spanning capability of this transmembrane region. Finally, we provide a comprehensive study of genome-wide patterns of autozygogosity revealing that Snowflake's parents were related, being this the first report of inbreeding in a wild born Western lowland gorilla./n/nCONCLUSIONS: In this study we demonstrate how the use of whole genome sequencing can be extended to link genotype and phenotype in non-model organisms and it can be a powerful tool in conservation genetics (e.g., inbreeding and genetic diversity) with the expected decrease in sequencing cost. ; The Spanish Government for grants BFU2010-14839 to JLG-S, Spanish Government and FEDER for grants BFU2009-13409-C02-02 and BFU2012-38236 to AN and JP-M, BFU2012-39482 to IM, and BFU2011-28549 to TM-B The Andalusian Government for grants CSD2007-00008 and CVI-3488, supported by FEDER to JLG-S The Barcelona Zoo (Ajuntament de Barcelona) for an award to JP-M. EEE is an investigator with the Howard Hughes Medical Institute.The European Community for an ERC Starting Grant (StG_20091118)) to TM-B.

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is processed through a standardized pipeline. After an optional embargo period, the data are shared with other platform users, with the objective that similar cases in the system and queries from peers may help diagnose the case. Additionally, the platform enables bidirectional discovery of similar cases in other databases from the Matchmaker Exchange network. To facilitate genome-phenome analysis and interpretation by clinical researchers, the RD-Connect GPAP provides a powerful user-friendly interface and leverages tens of information sources. As a result, the resource has already helped diagnose hundreds of rare disease patients and discover new disease causing genes. ; RD-Connect (RD-Connect, an integrated platform connecting registries, biobanks, and clinical bioinformatics) received funding from the Seventh Framework (FP7) Programme of the European Union under grant agreement No 305444. Data were analyzed using the RD-Connect GPAP, which received funding from EU projects Solve-RD, EJP-RD (grant numbers H2020 779257, H2020 825575), Instituto de Salud Carlos III (Grant numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB), ELIXIR-EXCELERATE (Grant number EU H2020 #676559) and ELIXIR Implementation Studies (Remote real-time visualization of human rare disease genomics ...