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  • 1
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    The UK10K project identifies rare variants in health and disease (2015)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2015-09-15
    Description: The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7x) or exomes (high read depth, 80x) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773891/" 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/PMC4773891/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉UK10K Consortium -- Walter, Klaudia -- Min, Josine L -- Huang, Jie -- Crooks, Lucy -- Memari, Yasin -- McCarthy, Shane -- Perry, John R B -- Xu, ChangJiang -- Futema, Marta -- Lawson, Daniel -- Iotchkova, Valentina -- Schiffels, Stephan -- Hendricks, Audrey E -- Danecek, Petr -- Li, Rui -- Floyd, James -- Wain, Louise V -- Barroso, Ines -- Humphries, Steve E -- Hurles, Matthew E -- Zeggini, Eleftheria -- Barrett, Jeffrey C -- Plagnol, Vincent -- Richards, J Brent -- Greenwood, Celia M T -- Timpson, Nicholas J -- Durbin, Richard -- Soranzo, Nicole -- 091551/Wellcome Trust/United Kingdom -- 095515/Wellcome Trust/United Kingdom -- 095564/Wellcome Trust/United Kingdom -- 098498/Wellcome Trust/United Kingdom -- 100140/Wellcome Trust/United Kingdom -- 104036/Wellcome Trust/United Kingdom -- CZD/16/6/4/Chief Scientist Office/United Kingdom -- MC_UU_12013/3/Medical Research Council/United Kingdom -- RG/10/13/28570/British Heart Foundation/United Kingdom -- WT091310/Wellcome Trust/United Kingdom -- England -- Nature. 2015 Oct 1;526(7571):82-90. doi: 10.1038/nature14962. Epub 2015 Sep 14.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26367797" target="_blank"〉PubMed〈/a〉
    Keywords: Adiponectin/blood ; Alleles ; Cohort Studies ; Disease/*genetics ; Exome/genetics ; Female ; Genetic Predisposition to Disease/genetics ; Genetic Variation/*genetics ; Genetics, Medical ; Genetics, Population ; Genome, Human/*genetics ; Genome-Wide Association Study ; Genomics ; Great Britain ; *Health ; Humans ; Lipid Metabolism/genetics ; Male ; Molecular Sequence Annotation ; Receptors, LDL/genetics ; Reference Standards ; Sequence Analysis, DNA ; Triglycerides/blood
    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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  • 2
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    VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research (2016)
    Oxford University Press
    Details
    Publication Date: 2016-06-21
    Description: Accurate variant calling in next generation sequencing (NGS) is critical to understand cancer genomes better. Here we present VarDict, a novel and versatile variant caller for both DNA- and RNA-sequencing data. VarDict simultaneously calls SNV, MNV, InDels, complex and structural variants, expanding the detected genetic driver landscape of tumors. It performs local realignments on the fly for more accurate allele frequency estimation. VarDict performance scales linearly to sequencing depth, enabling ultra-deep sequencing used to explore tumor evolution or detect tumor DNA circulating in blood. In addition, VarDict performs amplicon aware variant calling for polymerase chain reaction (PCR)-based targeted sequencing often used in diagnostic settings, and is able to detect PCR artifacts. Finally, VarDict also detects differences in somatic and loss of heterozygosity variants between paired samples. VarDict reprocessing of The Cancer Genome Atlas (TCGA) Lung Adenocarcinoma dataset called known driver mutations in KRAS, EGFR, BRAF, PIK3CA and MET in 16% more patients than previously published variant calls. We believe VarDict will greatly facilitate application of NGS in clinical cancer research.
    Keywords: Polymorphism/mutation detection
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 3
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    Strategies for fine-mapping complex traits (2015)
    Oxford University Press
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    Publication Date: 2015-09-17
    Description: Genome-wide association studies (GWAS) have identified thousands of robust and replicable genetic associations for complex disease. However, the identification of the causal variants that underlie these associations has been more difficult. This problem of fine-mapping association signals predates GWAS, but the last few years have seen a surge of studies aimed at pinpointing causal variants using both statistical evidence from large association data sets and functional annotations of genetic variants. Combining these two approaches can often determine not only the causal variant but also the target gene. Recent contributions include analyses of custom genotyping arrays, such as the Immunochip, statistical methods to identify credible sets of causal variants and the addition of functional genomic annotations for coding and non-coding variation to help prioritize variants and discern functional consequence and hence the biological basis of disease risk.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
    Published by Oxford University Press
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  • 4
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    Quantifying the contribution of recessive coding variation to developmental disorders (2018)
    American Association for the Advancement of Science (AAAS)
    In: Science
    Details
    Publication Date: 2018-12-07
    Description: We estimated the genome-wide contribution of recessive coding variation in 6040 families from the Deciphering Developmental Disorders study. The proportion of cases attributable to recessive coding variants was 3.6% in patients of European ancestry, compared with 50% explained by de novo coding mutations. It was higher (31%) in patients with Pakistani ancestry, owing to elevated autozygosity. Half of this recessive burden is attributable to known genes. We identified two genes not previously associated with recessive developmental disorders, KDM5B and EIF3F , and functionally validated them with mouse and cellular models. Our results suggest that recessive coding variants account for a small fraction of currently undiagnosed nonconsanguineous individuals, and that the role of noncoding variants, incomplete penetrance, and polygenic mechanisms need further exploration.
    Keywords: Genetics, Medicine, Diseases
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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