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  • 1
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    Mutations in DNMT1 cause autosomal dominant cerebellar ataxia, deafness and narcolepsy (2012)
    Oxford University Press
    Details
    Publication Date: 2012-04-25
    Description: Autosomal dominant cerebellar ataxia, deafness and narcolepsy (ADCA-DN) is characterized by late onset (30–40 years old) cerebellar ataxia, sensory neuronal deafness, narcolepsy–cataplexy and dementia. We performed exome sequencing in five individuals from three ADCA-DN kindreds and identified DNMT1 as the only gene with mutations found in all five affected individuals. Sanger sequencing confirmed the de novo mutation p.Ala570Val in one family, and showed co-segregation of p.Val606Phe and p.Ala570Val, with the ADCA-DN phenotype, in two other kindreds. An additional ADCA-DN kindred with a p.GLY605Ala mutation was subsequently identified. Narcolepsy and deafness were the first symptoms to appear in all pedigrees, followed by ataxia. DNMT1 is a widely expressed DNA methyltransferase maintaining methylation patterns in development, and mediating transcriptional repression by direct binding to HDAC2 . It is also highly expressed in immune cells and required for the differentiation of CD4+ into T regulatory cells. Mutations in exon 20 of this gene were recently reported to cause hereditary sensory neuropathy with dementia and hearing loss (HSAN1). Our mutations are all located in exon 21 and in very close spatial proximity, suggesting distinct phenotypes depending on mutation location within this gene.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
    Published by Oxford University Press
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  • 2
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    Paired-end mapping reveals extensive structural variation in the human genome (2007)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2007-09-29
    Description: Structural variation of the genome involves kilobase- to megabase-sized deletions, duplications, insertions, inversions, and complex combinations of rearrangements. We introduce high-throughput and massive paired-end mapping (PEM), a large-scale genome-sequencing method to identify structural variants (SVs) approximately 3 kilobases (kb) or larger that combines the rescue and capture of paired ends of 3-kb fragments, massive 454 sequencing, and a computational approach to map DNA reads onto a reference genome. PEM was used to map SVs in an African and in a putatively European individual and identified shared and divergent SVs relative to the reference genome. Overall, we fine-mapped more than 1000 SVs and documented that the number of SVs among humans is much larger than initially hypothesized; many of the SVs potentially affect gene function. The breakpoint junction sequences of more than 200 SVs were determined with a novel pooling strategy and computational analysis. Our analysis provided insights into the mechanisms of SV formation in humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674581/" 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/PMC2674581/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Korbel, Jan O -- Urban, Alexander Eckehart -- Affourtit, Jason P -- Godwin, Brian -- Grubert, Fabian -- Simons, Jan Fredrik -- Kim, Philip M -- Palejev, Dean -- Carriero, Nicholas J -- Du, Lei -- Taillon, Bruce E -- Chen, Zhoutao -- Tanzer, Andrea -- Saunders, A C Eugenia -- Chi, Jianxiang -- Yang, Fengtang -- Carter, Nigel P -- Hurles, Matthew E -- Weissman, Sherman M -- Harkins, Timothy T -- Gerstein, Mark B -- Egholm, Michael -- Snyder, Michael -- 077008/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- RR19895/RR/NCRR NIH HHS/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2007 Oct 19;318(5849):420-6. Epub 2007 Sep 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Molecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17901297" target="_blank"〉PubMed〈/a〉
    Keywords: Chromosome Inversion ; Chromosome Mapping ; Computational Biology ; Female ; Gene Fusion ; *Genetic Variation ; *Genome, Human ; Humans ; Mutagenesis, Insertional ; *Mutation ; Oligonucleotide Array Sequence Analysis ; Recombination, Genetic ; Repetitive Sequences, Nucleic Acid ; Retroelements ; Sequence Analysis, DNA ; Sequence Deletion
    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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  • 3
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    Variation in transcription factor binding among humans (2010)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2010-03-20
    Description: Differences in gene expression may play a major role in speciation and phenotypic diversity. We examined genome-wide differences in transcription factor (TF) binding in several humans and a single chimpanzee by using chromatin immunoprecipitation followed by sequencing. The binding sites of RNA polymerase II (PolII) and a key regulator of immune responses, nuclear factor kappaB (p65), were mapped in 10 lymphoblastoid cell lines, and 25 and 7.5% of the respective binding regions were found to differ between individuals. Binding differences were frequently associated with single-nucleotide polymorphisms and genomic structural variants, and these differences were often correlated with differences in gene expression, suggesting functional consequences of binding variation. Furthermore, comparing PolII binding between humans and chimpanzee suggests extensive divergence in TF binding. Our results indicate that many differences in individuals and species occur at the level of TF binding, and they provide insight into the genetic events responsible for these differences.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938768/" 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/PMC2938768/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kasowski, Maya -- Grubert, Fabian -- Heffelfinger, Christopher -- Hariharan, Manoj -- Asabere, Akwasi -- Waszak, Sebastian M -- Habegger, Lukas -- Rozowsky, Joel -- Shi, Minyi -- Urban, Alexander E -- Hong, Mi-Young -- Karczewski, Konrad J -- Huber, Wolfgang -- Weissman, Sherman M -- Gerstein, Mark B -- Korbel, Jan O -- Snyder, Michael -- R01 CA077808/CA/NCI NIH HHS/ -- R01 CA077808-09/CA/NCI NIH HHS/ -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32 GM007205-34/GM/NIGMS NIH HHS/ -- T32GM07205/GM/NIGMS NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- U54 HG004558-04/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2010 Apr 9;328(5975):232-5. doi: 10.1126/science.1183621. Epub 2010 Mar 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20299548" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Cell Line ; Chromatin Immunoprecipitation ; DNA Copy Number Variations ; DNA, Intergenic ; Female ; *Gene Expression Regulation ; Humans ; Male ; Pan troglodytes/genetics ; *Polymorphism, Single Nucleotide ; Protein Binding ; RNA Polymerase II/genetics/*metabolism ; Sequence Analysis, DNA ; Species Specificity ; Transcription Factor RelA/genetics/*metabolism ; Transcription Initiation Site
    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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    Extensive variation in chromatin states across humans (2013)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2013-10-19
    Description: The majority of disease-associated variants lie outside protein-coding regions, suggesting a link between variation in regulatory regions and disease predisposition. We studied differences in chromatin states using five histone modifications, cohesin, and CTCF in lymphoblastoid lines from 19 individuals of diverse ancestry. We found extensive signal variation in regulatory regions, which often switch between active and repressed states across individuals. Enhancer activity is particularly diverse among individuals, whereas gene expression remains relatively stable. Chromatin variability shows genetic inheritance in trios, correlates with genetic variation and population divergence, and is associated with disruptions of transcription factor binding motifs. Overall, our results provide insights into chromatin variation among humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075767/" 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/PMC4075767/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kasowski, Maya -- Kyriazopoulou-Panagiotopoulou, Sofia -- Grubert, Fabian -- Zaugg, Judith B -- Kundaje, Anshul -- Liu, Yuling -- Boyle, Alan P -- Zhang, Qiangfeng Cliff -- Zakharia, Fouad -- Spacek, Damek V -- Li, Jingjing -- Xie, Dan -- Olarerin-George, Anthony -- Steinmetz, Lars M -- Hogenesch, John B -- Kellis, Manolis -- Batzoglou, Serafim -- Snyder, Michael -- R01 HG004037/HG/NHGRI NIH HHS/ -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32 HG000044/HG/NHGRI NIH HHS/ -- T32GM07205/GM/NIGMS NIH HHS/ -- U01 HL107393/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2013 Nov 8;342(6159):750-2. doi: 10.1126/science.1242510. Epub 2013 Oct 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24136358" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Cycle Proteins/genetics/metabolism ; Cell Line, Tumor ; Chromatin/*genetics/*metabolism ; Chromosomal Proteins, Non-Histone/genetics/metabolism ; Enhancer Elements, Genetic/genetics ; *Gene Expression Regulation ; Genetic Predisposition to Disease/*genetics ; Genetic Variation ; Histones/genetics/metabolism ; Humans ; Repressor Proteins/genetics/metabolism ; Transcription Factors/genetics/metabolism
    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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  • 5
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    Mapping copy number variation by population-scale genome sequencing (2011)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2011-02-05
    Description: Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077050/" 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/PMC3077050/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mills, Ryan E -- Walter, Klaudia -- Stewart, Chip -- Handsaker, Robert E -- Chen, Ken -- Alkan, Can -- Abyzov, Alexej -- Yoon, Seungtai Chris -- Ye, Kai -- Cheetham, R Keira -- Chinwalla, Asif -- Conrad, Donald F -- Fu, Yutao -- Grubert, Fabian -- Hajirasouliha, Iman -- Hormozdiari, Fereydoun -- Iakoucheva, Lilia M -- Iqbal, Zamin -- Kang, Shuli -- Kidd, Jeffrey M -- Konkel, Miriam K -- Korn, Joshua -- Khurana, Ekta -- Kural, Deniz -- Lam, Hugo Y K -- Leng, Jing -- Li, Ruiqiang -- Li, Yingrui -- Lin, Chang-Yun -- Luo, Ruibang -- Mu, Xinmeng Jasmine -- Nemesh, James -- Peckham, Heather E -- Rausch, Tobias -- Scally, Aylwyn -- Shi, Xinghua -- Stromberg, Michael P -- Stutz, Adrian M -- Urban, Alexander Eckehart -- Walker, Jerilyn A -- Wu, Jiantao -- Zhang, Yujun -- Zhang, Zhengdong D -- Batzer, Mark A -- Ding, Li -- Marth, Gabor T -- McVean, Gil -- Sebat, Jonathan -- Snyder, Michael -- Wang, Jun -- Ye, Kenny -- Eichler, Evan E -- Gerstein, Mark B -- Hurles, Matthew E -- Lee, Charles -- McCarroll, Steven A -- Korbel, Jan O -- 1000 Genomes Project -- 062023/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 077192/Wellcome Trust/United Kingdom -- 085532/Wellcome Trust/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- G1000758/Medical Research Council/United Kingdom -- P01 HG004120/HG/NHGRI NIH HHS/ -- P41 HG004221/HG/NHGRI NIH HHS/ -- P41 HG004221-01/HG/NHGRI NIH HHS/ -- P41 HG004221-02/HG/NHGRI NIH HHS/ -- P41 HG004221-03/HG/NHGRI NIH HHS/ -- P41 HG004221-03S1/HG/NHGRI NIH HHS/ -- P41 HG004221-03S2/HG/NHGRI NIH HHS/ -- P41 HG004221-03S3/HG/NHGRI NIH HHS/ -- R01 GM059290/GM/NIGMS NIH HHS/ -- R01 GM081533/GM/NIGMS NIH HHS/ -- R01 GM081533-01A1/GM/NIGMS NIH HHS/ -- R01 GM081533-02/GM/NIGMS NIH HHS/ -- R01 GM081533-03/GM/NIGMS NIH HHS/ -- R01 GM081533-04/GM/NIGMS NIH HHS/ -- R01 GM59290/GM/NIGMS NIH HHS/ -- R01 HG004719/HG/NHGRI NIH HHS/ -- R01 HG004719-01/HG/NHGRI NIH HHS/ -- R01 HG004719-02/HG/NHGRI NIH HHS/ -- R01 HG004719-02S1/HG/NHGRI NIH HHS/ -- R01 HG004719-03/HG/NHGRI NIH HHS/ -- R01 HG004719-04/HG/NHGRI NIH HHS/ -- R01 MH091350/MH/NIMH NIH HHS/ -- RC2 HG005552/HG/NHGRI NIH HHS/ -- RC2 HG005552-01/HG/NHGRI NIH HHS/ -- RC2 HG005552-02/HG/NHGRI NIH HHS/ -- U01 HG005209/HG/NHGRI NIH HHS/ -- U01 HG005209-01/HG/NHGRI NIH HHS/ -- U01 HG005209-02/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Feb 3;470(7332):59-65. doi: 10.1038/nature09708.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21293372" target="_blank"〉PubMed〈/a〉
    Keywords: DNA Copy Number Variations/*genetics ; Gene Duplication/genetics ; Genetic Predisposition to Disease/genetics ; *Genetics, Population ; Genome, Human/*genetics ; *Genomics ; Genotype ; Humans ; Mutagenesis, Insertional/genetics ; Reproducibility of Results ; Sequence Analysis, DNA ; Sequence Deletion/genetics
    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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  • 6
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    Architecture of the human regulatory network derived from ENCODE data (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-09-08
    Description: Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" 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/PMC4154057/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Kundaje, Anshul -- Hariharan, Manoj -- Landt, Stephen G -- Yan, Koon-Kiu -- Cheng, Chao -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Rozowsky, Joel -- Alexander, Roger -- Min, Renqiang -- Alves, Pedro -- Abyzov, Alexej -- Addleman, Nick -- Bhardwaj, Nitin -- Boyle, Alan P -- Cayting, Philip -- Charos, Alexandra -- Chen, David Z -- Cheng, Yong -- Clarke, Declan -- Eastman, Catharine -- Euskirchen, Ghia -- Frietze, Seth -- Fu, Yao -- Gertz, Jason -- Grubert, Fabian -- Harmanci, Arif -- Jain, Preti -- Kasowski, Maya -- Lacroute, Phil -- Leng, Jing -- Lian, Jin -- Monahan, Hannah -- O'Geen, Henriette -- Ouyang, Zhengqing -- Partridge, E Christopher -- Patacsil, Dorrelyn -- Pauli, Florencia -- Raha, Debasish -- Ramirez, Lucia -- Reddy, Timothy E -- Reed, Brian -- Shi, Minyi -- Slifer, Teri -- Wang, Jing -- Wu, Linfeng -- Yang, Xinqiong -- Yip, Kevin Y -- Zilberman-Schapira, Gili -- Batzoglou, Serafim -- Sidow, Arend -- Farnham, Peggy J -- Myers, Richard M -- Weissman, Sherman M -- Snyder, Michael -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32GM008283-24/GM/NIGMS NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):91-100. doi: 10.1038/nature11245.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. mark.gerstein@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955619" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; *Encyclopedias as Topic ; GATA1 Transcription Factor/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; Organ Specificity ; Phosphorylation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein Interaction Maps ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid/*genetics ; Selection, Genetic/genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
    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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  • 7
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    Demographic history and rare allele sharing among human populations (2011)
    National Academy of Sciences
    Details
    Publication Date: 2011-07-05
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 8
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    The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies (2009)
    National Academy of Sciences
    Details
    Publication Date: 2009-07-13
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 9
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    Systematic prediction and validation of breakpoints associated with copy-number variants in the human genome (2007)
    National Academy of Sciences
    Details
    Publication Date: 2007-06-05
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
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    Utah trio long-read RNAseq [Genetics] (2014)
    National Academy of Sciences
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    Publication Date: 2014-07-09
    Description: Personal transcriptomes in which all of an individual’s genetic variants (e.g., single nucleotide variants) and transcript isoforms (transcription start sites, splice sites, and polyA sites) are defined and quantified for full-length transcripts are expected to be important for understanding individual biology and disease, but have not been described previously. To...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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