@article {486,
	title = {Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet-Biedl family.},
	journal = {Mol Genet Genomic Med},
	volume = {2},
	year = {2014},
	month = {2014 Mar},
	pages = {124-33},
	abstract = {<p>Bardet-Biedl syndrome (BBS) is a model ciliopathy characterized by a wide range of clinical variability. The heterogeneity of this condition is reflected in the number of underlying gene defects and the epistatic interactions between the proteins encoded. BBS is generally inherited in an autosomal recessive trait. However, in some families, mutations across different loci interact to modulate the expressivity of the phenotype. In order to investigate the magnitude of epistasis in one BBS family with remarkable intrafamilial phenotypic variability, we designed an exome sequencing-based approach using SOLID 5500xl platform. This strategy allowed the reliable detection of the primary causal mutations in our family consisting of two novel compound heterozygous mutations in McKusick-Kaufman syndrome (MKKS) gene (p.D90G and p.V396F). Additionally, exome sequencing enabled the detection of one novel heterozygous NPHP4 variant which is predicted to activate a cryptic acceptor splice site and is only present in the most severely affected patient. Here, we provide an exome sequencing analysis of a BBS family and show the potential utility of this tool, in combination with network analysis, to detect disease-causing mutations and second-site modifiers. Our data demonstrate how next-generation sequencing (NGS) can facilitate the dissection of epistatic phenomena, and shed light on the genetic basis of phenotypic variability. </p>},
	issn = {2324-9269},
	doi = {10.1002/mgg3.50},
	author = {Gonz{\'a}lez-del Pozo, Mar{\'\i}a and M{\'e}ndez-Vidal, Cristina and Santoyo-L{\'o}pez, Javier and Vela-Boza, Alicia and Bravo-Gil, Nereida and Rueda, Antonio and Garc{\'\i}a-Alonso, Luz and V{\'a}zquez-Marouschek, Carmen and Dopazo, Joaquin and Borrego, Salud and Anti{\v n}olo, Guillermo}
}
@article {1035,
	title = {Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet{\textendash}Biedl family},
	journal = {Molecular Genetics \& Genomic Medicine},
	volume = {2},
	number = {2},
	year = {2014},
	pages = {124-133},
	abstract = {Bardet{\textendash}Biedl syndrome (BBS) is a model ciliopathy characterized by a wide range of clinical variability. The heterogeneity of this condition is reflected in the number of underlying gene defects and the epistatic interactions between the proteins encoded. BBS is generally inherited in an autosomal recessive trait. However, in some families, mutations across different loci interact to modulate the expressivity of the phenotype. In order to investigate the magnitude of epistasis in one BBS family with remarkable intrafamilial phenotypic variability, we designed an exome sequencing{\textendash}based approach using SOLID 5500xl platform. This strategy allowed the reliable detection of the primary causal mutations in our family consisting of two novel compound heterozygous mutations in McKusick{\textendash}Kaufman syndrome (MKKS) gene (p.D90G and p.V396F). Additionally, exome sequencing enabled the detection of one novel heterozygous NPHP4 variant which is predicted to activate a cryptic acceptor splice site and is only present in the most severely affected patient. Here, we provide an exome sequencing analysis of a BBS family and show the potential utility of this tool, in combination with network analysis, to detect disease-causing mutations and second-site modifiers. Our data demonstrate how next-generation sequencing (NGS) can facilitate the dissection of epistatic phenomena, and shed light on the genetic basis of phenotypic variability.},
	doi = {10.1002/mgg3.50},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/mgg3.50/full},
	author = {Gonz{\'a}lez-del Pozo, Mar{\'\i}a and M{\'e}ndez-Vidal, Cristina and Santoyo-L{\'o}pez, Javier and Vela-Boza, Alicia and Nereida Bravo-Gil and Antonio Rueda and Garc{\'\i}a-Alonso, Luz and V{\'a}zquez-Marouschek, Carmen and Joaqu{\'\i}n Dopazo and Borrego, Salud and Anti{\v n}olo, Guillermo}
}
@article {512,
	title = {Discovering the hidden sub-network component in a ranked list of genes or proteins derived from genomic experiments.},
	journal = {Nucleic Acids Res},
	volume = {40},
	year = {2012},
	month = {2012 Nov 01},
	pages = {e158},
	abstract = {<p>Genomic experiments (e.g. differential gene expression, single-nucleotide polymorphism association) typically produce ranked list of genes. We present a simple but powerful approach which uses protein-protein interaction data to detect sub-networks within such ranked lists of genes or proteins. We performed an exhaustive study of network parameters that allowed us concluding that the average number of components and the average number of nodes per component are the parameters that best discriminate between real and random networks. A novel aspect that increases the efficiency of this strategy in finding sub-networks is that, in addition to direct connections, also connections mediated by intermediate nodes are considered to build up the sub-networks. The possibility of using of such intermediate nodes makes this approach more robust to noise. It also overcomes some limitations intrinsic to experimental designs based on differential expression, in which some nodes are invariant across conditions. The proposed approach can also be used for candidate disease-gene prioritization. Here, we demonstrate the usefulness of the approach by means of several case examples that include a differential expression analysis in Fanconi Anemia, a genome-wide association study of bipolar disorder and a genome-scale study of essentiality in cancer genes. An efficient and easy-to-use web interface (available at http://www.babelomics.org) based on HTML5 technologies is also provided to run the algorithm and represent the network.</p>},
	keywords = {Bipolar Disorder, Fanconi Anemia, Gene Regulatory Networks, Genes, Neoplasm, Genome-Wide Association Study, Genomics, Humans, Protein Interaction Mapping},
	issn = {1362-4962},
	doi = {10.1093/nar/gks699},
	author = {Garc{\'\i}a-Alonso, Luz and Alonso, Roberto and Vidal, Enrique and Amadoz, Alicia and De Maria, Alejandro and Minguez, Pablo and Medina, Ignacio and Dopazo, Joaquin}
}
