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  • 1
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    Sequencing of 50 human exomes reveals adaptation to high altitude (2010)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2010-07-03
    Description: Residents of the Tibetan Plateau show heritable adaptations to extreme altitude. We sequenced 50 exomes of ethnic Tibetans, encompassing coding sequences of 92% of human genes, with an average coverage of 18x per individual. Genes showing population-specific allele frequency changes, which represent strong candidates for altitude adaptation, were identified. The strongest signal of natural selection came from endothelial Per-Arnt-Sim (PAS) domain protein 1 (EPAS1), a transcription factor involved in response to hypoxia. One single-nucleotide polymorphism (SNP) at EPAS1 shows a 78% frequency difference between Tibetan and Han samples, representing the fastest allele frequency change observed at any human gene to date. This SNP's association with erythrocyte abundance supports the role of EPAS1 in adaptation to hypoxia. Thus, a population genomic survey has revealed a functionally important locus in genetic adaptation to high altitude.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711608/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711608/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yi, Xin -- Liang, Yu -- Huerta-Sanchez, Emilia -- Jin, Xin -- Cuo, Zha Xi Ping -- Pool, John E -- Xu, Xun -- Jiang, Hui -- Vinckenbosch, Nicolas -- Korneliussen, Thorfinn Sand -- Zheng, Hancheng -- Liu, Tao -- He, Weiming -- Li, Kui -- Luo, Ruibang -- Nie, Xifang -- Wu, Honglong -- Zhao, Meiru -- Cao, Hongzhi -- Zou, Jing -- Shan, Ying -- Li, Shuzheng -- Yang, Qi -- Asan -- Ni, Peixiang -- Tian, Geng -- Xu, Junming -- Liu, Xiao -- Jiang, Tao -- Wu, Renhua -- Zhou, Guangyu -- Tang, Meifang -- Qin, Junjie -- Wang, Tong -- Feng, Shuijian -- Li, Guohong -- Huasang -- Luosang, Jiangbai -- Wang, Wei -- Chen, Fang -- Wang, Yading -- Zheng, Xiaoguang -- Li, Zhuo -- Bianba, Zhuoma -- Yang, Ge -- Wang, Xinping -- Tang, Shuhui -- Gao, Guoyi -- Chen, Yong -- Luo, Zhen -- Gusang, Lamu -- Cao, Zheng -- Zhang, Qinghui -- Ouyang, Weihan -- Ren, Xiaoli -- Liang, Huiqing -- Zheng, Huisong -- Huang, Yebo -- Li, Jingxiang -- Bolund, Lars -- Kristiansen, Karsten -- Li, Yingrui -- Zhang, Yong -- Zhang, Xiuqing -- Li, Ruiqiang -- Li, Songgang -- Yang, Huanming -- Nielsen, Rasmus -- Wang, Jun -- Wang, Jian -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 MH084695/MH/NIMH NIH HHS/ -- R01HG003229/HG/NHGRI NIH HHS/ -- R01MHG084695/PHS HHS/ -- New York, N.Y. -- Science. 2010 Jul 2;329(5987):75-8. doi: 10.1126/science.1190371.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉BGI-Shenzhen, Shenzhen 518083, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20595611" target="_blank"〉PubMed〈/a〉
    Keywords: Acclimatization/*genetics ; *Altitude ; Asian Continental Ancestry Group/genetics ; Basic Helix-Loop-Helix Transcription Factors/*genetics/physiology ; Bayes Theorem ; China ; Erythrocyte Count ; Ethnic Groups/genetics ; *Exons ; Female ; Gene Frequency ; Genetic Association Studies ; *Genome, Human ; Hemoglobins/analysis ; Humans ; Male ; Oxygen/blood ; Polymorphism, Single Nucleotide ; *Selection, Genetic ; Sequence Analysis, DNA ; Tibet
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA (2014)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2014-07-22
    Description: As modern humans migrated out of Africa, they encountered many new environmental conditions, including greater temperature extremes, different pathogens and higher altitudes. These diverse environments are likely to have acted as agents of natural selection and to have led to local adaptations. One of the most celebrated examples in humans is the adaptation of Tibetans to the hypoxic environment of the high-altitude Tibetan plateau. A hypoxia pathway gene, EPAS1, was previously identified as having the most extreme signature of positive selection in Tibetans, and was shown to be associated with differences in haemoglobin concentration at high altitude. Re-sequencing the region around EPAS1 in 40 Tibetan and 40 Han individuals, we find that this gene has a highly unusual haplotype structure that can only be convincingly explained by introgression of DNA from Denisovan or Denisovan-related individuals into humans. Scanning a larger set of worldwide populations, we find that the selected haplotype is only found in Denisovans and in Tibetans, and at very low frequency among Han Chinese. Furthermore, the length of the haplotype, and the fact that it is not found in any other populations, makes it unlikely that the haplotype sharing between Tibetans and Denisovans was caused by incomplete ancestral lineage sorting rather than introgression. Our findings illustrate that admixture with other hominin species has provided genetic variation that helped humans to adapt to new environments.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134395/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134395/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Huerta-Sanchez, Emilia -- Jin, Xin -- Asan -- Bianba, Zhuoma -- Peter, Benjamin M -- Vinckenbosch, Nicolas -- Liang, Yu -- Yi, Xin -- He, Mingze -- Somel, Mehmet -- Ni, Peixiang -- Wang, Bo -- Ou, Xiaohua -- Huasang -- Luosang, Jiangbai -- Cuo, Zha Xi Ping -- Li, Kui -- Gao, Guoyi -- Yin, Ye -- Wang, Wei -- Zhang, Xiuqing -- Xu, Xun -- Yang, Huanming -- Li, Yingrui -- Wang, Jian -- Wang, Jun -- Nielsen, Rasmus -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01HG003229/HG/NHGRI NIH HHS/ -- R01HG003229-08S2/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Aug 14;512(7513):194-7. doi: 10.1038/nature13408. Epub 2014 Jul 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] BGI-Shenzhen, Shenzhen 518083, China [2] Department of Integrative Biology, University of California, Berkeley, California 94720 USA [3] School of Natural Sciences, University of California, Merced, California 95343 USA [4]. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China [3]. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Binhai Genomics Institute, BGI-Tianjin, Tianjin 300308, China [3] Tianjin Translational Genomics Center, BGI-Tianjin, Tianjin 300308, China [4]. ; 1] The People's Hospital of Lhasa, Lhasa 850000, China [2]. ; Department of Integrative Biology, University of California, Berkeley, California 94720 USA. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Binhai Genomics Institute, BGI-Tianjin, Tianjin 300308, China [3] Tianjin Translational Genomics Center, BGI-Tianjin, Tianjin 300308, China. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa 50011, USA. ; Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey. ; BGI-Shenzhen, Shenzhen 518083, China. ; The Second People's Hospital of Tibet Autonomous Region, Lhasa 850000, China. ; The People's Hospital of the Tibet Autonomous Region, Lhasa 850000, China. ; The hospital of XiShuangBanNa Dai Nationalities, Autonomous Jinghong, 666100 Yunnan, China. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] The Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, 518083 Shenzhen, China [3] Shenzhen Key Laboratory of Transomics Biotechnologies, BGI-Shenzhen, 518083 Shenzhen, China. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia [3] James D. Watson Institute of Genome Science, 310008 Hangzhou, China. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] James D. Watson Institute of Genome Science, 310008 Hangzhou, China. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia [3] Department of Biology, University of Copenhagen, Ole MaaloesVej 5, 2200 Copenhagen, Denmark [4] Macau University of Science and Technology, AvenidaWai long, Taipa, Macau 999078, China [5] Department of Medicine, University of Hong Kong 999077, Hong Kong. ; 1] BGI-Shenzhen, Shenzhen 518083, China [2] Department of Integrative Biology, University of California, Berkeley, California 94720 USA [3] Department of Statistics, University of California, Berkeley, California 94720, USA [4] Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25043035" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; *Altitude ; Animals ; Asian Continental Ancestry Group/genetics ; Basic Helix-Loop-Helix Transcription Factors/genetics ; DNA/*genetics ; Gene Frequency ; *Genetic Variation ; Haplotypes ; Hominidae/*genetics ; Humans ; Polymorphism, Single Nucleotide ; Tibet
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Greenlandic Inuit show genetic signatures of diet and climate adaptation (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-09-19
    Description: The indigenous people of Greenland, the Inuit, have lived for a long time in the extreme conditions of the Arctic, including low annual temperatures, and with a specialized diet rich in protein and fatty acids, particularly omega-3 polyunsaturated fatty acids (PUFAs). A scan of Inuit genomes for signatures of adaptation revealed signals at several loci, with the strongest signal located in a cluster of fatty acid desaturases that determine PUFA levels. The selected alleles are associated with multiple metabolic and anthropometric phenotypes and have large effect sizes for weight and height, with the effect on height replicated in Europeans. By analyzing membrane lipids, we found that the selected alleles modulate fatty acid composition, which may affect the regulation of growth hormones. Thus, the Inuit have genetic and physiological adaptations to a diet rich in PUFAs.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fumagalli, Matteo -- Moltke, Ida -- Grarup, Niels -- Racimo, Fernando -- Bjerregaard, Peter -- Jorgensen, Marit E -- Korneliussen, Thorfinn S -- Gerbault, Pascale -- Skotte, Line -- Linneberg, Allan -- Christensen, Cramer -- Brandslund, Ivan -- Jorgensen, Torben -- Huerta-Sanchez, Emilia -- Schmidt, Erik B -- Pedersen, Oluf -- Hansen, Torben -- Albrechtsen, Anders -- Nielsen, Rasmus -- R01-HG003229/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Sep 18;349(6254):1343-7. doi: 10.1126/science.aab2319.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK. Department of Integrative Biology, University of California-Berkeley, Berkeley, CA 94720, USA. ; The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark. ; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark. ; Department of Integrative Biology, University of California-Berkeley, Berkeley, CA 94720, USA. ; National Institute of Public Health, University of Southern Denmark, 1353 Copenhagen, Denmark. Greenland Center for Health Research, University of Greenland, Nuuk, Greenland. ; National Institute of Public Health, University of Southern Denmark, 1353 Copenhagen, Denmark. Steno Diabetes Center, 2820 Gentofte, Denmark. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark. ; Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK. Department of Anthropology, University College London, London WC1H 0BW, UK. ; Research Centre for Prevention and Health, Capital Region of Denmark, Copenhagen, Denmark. Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. ; Department of Medicine, Lillebaelt Hospital, Vejle, Denmark. ; Department of Clinical Biochemistry, Lillebaelt Hospital, Vejle, Denmark. Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark. ; Research Centre for Prevention and Health, Capital Region of Denmark, Copenhagen, Denmark. Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. Faculty of Medicine, University of Aalborg, Aalborg, Denmark. ; School of Natural Sciences, University of California-Merced, Merced, CA 95343, USA. ; Faculty of Medicine, University of Aalborg, Aalborg, Denmark. Department of Cardiology, Aalborg University Hospital, 9100 Aalborg, Denmark. ; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark. torben.hansen@sund.ku.dk albrecht@binf.ku.dk rasmus_nielsen@berkeley.edu. ; The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark. torben.hansen@sund.ku.dk albrecht@binf.ku.dk rasmus_nielsen@berkeley.edu. ; Department of Integrative Biology, University of California-Berkeley, Berkeley, CA 94720, USA. Department of Statistics, University of California-Berkeley, Berkeley, CA 94720, USA. torben.hansen@sund.ku.dk albrecht@binf.ku.dk rasmus_nielsen@berkeley.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26383953" target="_blank"〉PubMed〈/a〉
    Keywords: Acclimatization/*genetics ; Alleles ; Arctic Regions ; Body Height/genetics ; Body Weight/genetics ; Chromosomes, Human, Pair 11/genetics ; Climate ; *Diet, High-Fat ; Fatty Acids, Omega-3/*administration & dosage/analysis ; Female ; Genetic Loci ; Genome, Human/genetics ; Genome-Wide Association Study ; Greenland ; Humans ; Inuits/*genetics ; Linkage Disequilibrium ; Male ; Membrane Lipids/analysis/genetics ; Polymorphism, Single Nucleotide ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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    A Scan for Human-Specific Relaxation of Negative Selection Reveals Unexpected Polymorphism in Proteasome Genes (2013)
    Oxford University Press
    Details
    Publication Date: 2013-07-12
    Description: Environmental or genomic changes during evolution can relax negative selection pressure on specific loci, permitting high frequency polymorphisms at previously conserved sites. Here, we jointly analyze population genomic and comparative genomic data to search for functional processes showing relaxed negative selection specifically in the human lineage, whereas remaining evolutionarily conserved in other mammals. Consistent with previous studies, we find that olfactory receptor genes display such a signature of relaxation in humans. Intriguingly, proteasome genes also show a prominent signal of human-specific relaxation: multiple proteasome subunits, including four members of the catalytic core particle, contain high frequency nonsynonymous polymorphisms at sites conserved across mammals. Chimpanzee proteasome genes do not display a similar trend. Human proteasome genes also bear no evidence of recent positive or balancing selection. These results suggest human-specific relaxation of negative selection in proteasome subunits; the exact biological causes, however, remain unknown.
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
    Published by Oxford University Press
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  • 5
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    Genetic Signatures Reveal High-Altitude Adaptation in a Set of Ethiopian Populations (2013)
    Oxford University Press
    Details
    Publication Date: 2013-07-12
    Description: The Tibetan and Andean Plateaus and Ethiopian highlands are the largest regions to have long-term high-altitude residents. Such populations are exposed to lower barometric pressures and hence atmospheric partial pressures of oxygen. Such "hypobaric hypoxia" may limit physical functional capacity, reproductive health, and even survival. As such, selection of genetic variants advantageous to hypoxic adaptation is likely to have occurred. Identifying signatures of such selection is likely to help understanding of hypoxic adaptive processes. Here, we seek evidence of such positive selection using five Ethiopian populations, three of which are from high-altitude areas in Ethiopia. As these populations may have been recipients of Eurasian gene flow, we correct for this admixture. Using single-nucleotide polymorphism genotype data from multiple populations, we find the strongest signal of selection in BHLHE41 (also known as DEC2 or SHARP1 ). Remarkably, a major role of this gene is regulation of the same hypoxia response pathway on which selection has most strikingly been observed in both Tibetan and Andean populations. Because it is also an important player in the circadian rhythm pathway, BHLHE41 might also provide insights into the mechanisms underlying the recognized impacts of hypoxia on the circadian clock. These results support the view that Ethiopian, Andean, and Tibetan populations living at high altitude have adapted to hypoxia differently, with convergent evolution affecting different genes from the same pathway.
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
    Published by Oxford University Press
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