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10.1101/mcs.a001099

http://scihub22266oqcxt.onion/10.1101/mcs.a001099
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suck abstract from ncbi


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pmid28487880
      Cold+Spring+Harb+Mol+Case+Stud 2017 ; 3 (3 ): a001099
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  • When "N of 2" is not enough: integrating statistical and functional data in gene discovery #MMPMID28487880
  • Cassa CA ; Akle S ; Jordan DM ; Rosenfeld JA
  • Cold Spring Harb Mol Case Stud 2017[May]; 3 (3 ): a001099 PMID28487880 show ga
  • The expanding use of genomic sequencing promises to improve clinical diagnostics and to drive the discovery of new disease genes. Candidate genes are increasingly being identified through recurrent cases (e.g., two or more independent cases ["N of 2"] in which variants are present in the same gene). These second case hits provide statistical evidence of an association, which may then be combined with functional validation or familial segregation studies to bolster the evidence that a gene is truly causal. Here, we discuss how to integrate different forms of functional evidence with human genetics case and segregation data to improve the significance of new disease-gene associations.
  • |Computational Biology [MESH]
  • |Exome [MESH]
  • |Genetic Association Studies/*methods [MESH]
  • |Genetic Predisposition to Disease [MESH]
  • |Genome-Wide Association Study/methods [MESH]
  • |Genomics/*methods/statistics & numerical data [MESH]
  • |High-Throughput Nucleotide Sequencing [MESH]
  • |Humans [MESH]


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