@article {13, title = {A genome-wide association study of congenital cardiovascular left-sided lesions shows association with a locus on chromosome 20.}, journal = {Hum Mol Genet}, volume = {25}, year = {2016}, month = {2016 06 01}, pages = {2331-2341}, abstract = {

Congenital heart defects involving left-sided lesions (LSLs) are relatively common birth defects with substantial morbidity and mortality. Previous studies have suggested a high heritability with a complex genetic architecture, such that only a few LSL loci have been identified. We performed a genome-wide case-control association study to address the role of common variants using a discovery cohort of 778 cases and 2756 controls. We identified a genome-wide significant association mapping to a 200 kb region on chromosome 20q11 [P= 1.72 {\texttimes} 10 for rs3746446; imputed Single Nucleotide Polymorphism (SNP) rs6088703 P= 3.01 {\texttimes} 10, odds ratio (OR)= 1.6 for both]. This result was supported by transmission disequilibrium analyses using a subset of 541 case families (lowest P in region= 4.51 {\texttimes} 10, OR= 1.5). Replication in a cohort of 367 LSL cases and 5159 controls showed nominal association (P= 0.03 for rs3746446) resulting in P= 9.49 {\texttimes} 10 for rs3746446 upon meta-analysis of the combined cohorts. In addition, a group of seven SNPs on chromosome 1q21.3 met threshold for suggestive association (lowest P= 9.35 {\texttimes} 10 for rs12045807). Both regions include genes involved in cardiac development-MYH7B/miR499A on chromosome 20 and CTSK, CTSS and ARNT on chromosome 1. Genome-wide heritability analysis using case-control genotyped SNPs suggested that the mean heritability of LSLs attributable to common variants is moderately high ([Formula: see text] range= 0.26-0.34) and consistent with previous assertions. These results provide evidence for the role of common variation in LSLs, proffer new genes as potential biological candidates, and give further insight to the complex genetic architecture of congenital heart disease.

}, keywords = {Chromosome Mapping, Chromosomes, Human, Pair 20, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Defects, Congenital, Heart Ventricles, Humans, Male, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddw071}, author = {Hanchard, Neil A and Swaminathan, Shanker and Bucasas, Kristine and Furthner, Dieter and Fernbach, Susan and Azamian, Mahshid S and Wang, Xueqing and Lewin, Mark and Towbin, Jeffrey A and D{\textquoteright}Alessandro, Lisa C A and Morris, Shaine A and Dreyer, William and Denfield, Susan and Ayres, Nancy A and Franklin, Wayne J and Justino, Henri and Lantin-Hermoso, M Regina and Ocampo, Elena C and Santos, Alexia B and Parekh, Dhaval and Moodie, Douglas and Jeewa, Aamir and Lawrence, Emily and Allen, Hugh D and Penny, Daniel J and Fraser, Charles D and Lupski, James R and Popoola, Mojisola and Wadhwa, Lalita and Brook, J David and Bu{\textquoteright}Lock, Frances A and Bhattacharya, Shoumo and Lalani, Seema R and Zender, Gloria A and Fitzgerald-Butt, Sara M and Bowman, Jessica and Corsmeier, Don and White, Peter and Lecerf, Kelsey and Zapata, Gladys and Hernandez, Patricia and Goodship, Judith A and Garg, Vidu and Keavney, Bernard D and Leal, Suzanne M and Cordell, Heather J and Belmont, John W and McBride, Kim L} } @article {204, title = {Challenges and solutions for gene identification in the presence of familial locus heterogeneity.}, journal = {Eur J Hum Genet}, volume = {23}, year = {2015}, month = {2015 Sep}, pages = {1207-15}, abstract = {

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.

}, keywords = {Asian Continental Ancestry Group, Calcium-Binding Proteins, Chromosome Mapping, Connexin 26, Connexins, Consanguinity, European Continental Ancestry Group, Female, Genes, Recessive, Genetic Heterogeneity, Genetic Linkage, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genotype, Hearing Loss, Hepatocyte Growth Factor, High-Throughput Nucleotide Sequencing, Homozygote, Humans, Male, Membrane Transport Proteins, Mutation, Pedigree, Phenotype, Sulfate Transporters}, issn = {1476-5438}, doi = {10.1038/ejhg.2014.266}, author = {Rehman, Atteeq U and Santos-Cortez, Regie Lyn P and Drummond, Meghan C and Shahzad, Mohsin and Lee, Kwanghyuk and Morell, Robert J and Ansar, Muhammad and Jan, Abid and Wang, Xin and Aziz, Abdul and Riazuddin, Saima and Smith, Joshua D and Wang, Gao T and Ahmed, Zubair M and Gul, Khitab and Shearer, A Eliot and Smith, Richard J H and Shendure, Jay and Bamshad, Michael J and Nickerson, Deborah A and Hinnant, John and Khan, Shaheen N and Fisher, Rachel A and Ahmad, Wasim and Friderici, Karen H and Riazuddin, Sheikh and Friedman, Thomas B and Wilch, Ellen S and Leal, Suzanne M} } @article {178, title = {Collapsed haplotype pattern method for linkage analysis of next-generation sequence data.}, journal = {Eur J Hum Genet}, volume = {23}, year = {2015}, month = {2015 Dec}, pages = {1739-43}, abstract = {

Recent advances in next-generation sequencing (NGS) make it possible to directly sequence genomes and exomes of individuals with Mendelian diseases and screen sequence data for causal variants. With the reduction in cost of NGS, DNA samples from entire families can be sequenced and linkage analysis can be performed directly using NGS data. Inspired by {\textquoteright}burden{\textquoteright} tests, which are used for complex trait rare variant association studies, we developed the collapsed haplotype pattern (CHP) method for linkage analysis. Using data from several deafness genes we demonstrate that the CHP method is substantially more powerful than analyzing individual variants. Unlike applying NGS data filtering approaches, the CHP method provides statistical evidence of a gene{\textquoteright}s involvement in disease etiology and is also less likely to exclude causal variants in the presence of phenocopies and/or reduced penetrance. The CHP method was implemented in the SEQLinkage software package, which can perform linkage analysis on NGS data or can generate data compatible with many linkage analysis programs, reviving them for use in NGS era.

}, keywords = {Chromosome Mapping, Genetic Linkage, Haplotypes, Hearing Loss, High-Throughput Nucleotide Sequencing, Humans, Sequence Analysis, DNA, Software}, issn = {1476-5438}, doi = {10.1038/ejhg.2015.64}, author = {Wang, Gao T and Zhang, Di and Li, Biao and Dai, Hang and Leal, Suzanne M} }