4.5 Article

Challenges and solutions for gene identification in the presence of familial locus heterogeneity

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EUROPEAN JOURNAL OF HUMAN GENETICS
卷 23, 期 9, 页码 1207-1215

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NATURE PUBLISHING GROUP
DOI: 10.1038/ejhg.2014.266

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资金

  1. National Institute on Deafness and Other Communication Disorders (NIDCD)/NIH intramural program [DC000039-18]
  2. Higher Education Commission of Pakistan
  3. NIH [R01 DC003544, R01 DC011803, R01 DC012564, R03 DC012434, R01 DC011651, R01 DC003594, U54 HG006493, N01-HG-65403]
  4. International Center for Genetic Engineering and Biotechnology, Trieste, Italy [CRP/PAK08-01, 08/009]
  5. Hearing Health Foundation

向作者/读者索取更多资源

Next-generation sequencing (NGS) of exomes and genomes has accelerated the identification of genes involved in Mendelian phenotypes. However, many NGS studies fall short of identifying causal variants, with estimates for success rates as low as 25% for uncovering the pathological variant underlying disease etiology. An important reason for such failures is familial locus heterogeneity, where within a single pedigree causal variants in two or more genes underlie Mendelian trait etiology. As examples of intra-and inter-sibship familial locus heterogeneity, we present 10 consanguineous Pakistani families segregating hearing impairment due to homozygous variants in two different hearing impairment genes and a European-American pedigree in which hearing impairment is caused by four variants in three different genes. We have identified 41 additional pedigrees with syndromic and nonsyndromic hearing impairment for which a single previously reported hearing impairment gene has been identified but only segregates with the phenotype in a subset of affected pedigree members. We estimate that locus heterogeneity occurs in 15.3% (95% confidence interval: 11.9%, 19.9%) of the families in our collection. We demonstrate novel approaches to apply linkage analysis and homozygosity mapping (for autosomal recessive consanguineous pedigrees), which can be used to detect locus heterogeneity using either NGS or SNP array data. Results from linkage analysis and homozygosity mapping can also be used to group sibships or individuals most likely to be segregating the same causal variants and thereby increase the success rate of gene identification.

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