Read by QxMD icon Read

genomic selection, missing heritability

Jaime L Stafford, Gregory Dyson, Nancy K Levin, Sophia Chaudhry, Rita Rosati, Hasini Kalpage, Courtney Wernette, Nancie Petrucelli, Michael S Simon, Michael A Tainsky
While up to 25% of ovarian cancer (OVCA) cases are thought to be due to inherited factors, the majority of genetic risk remains unexplained. To address this gap, we sought to identify previously undescribed OVCA risk variants through the whole exome sequencing (WES) and candidate gene analysis of 48 women with ovarian cancer and selected for high risk of genetic inheritance, yet negative for any known pathogenic variants in either BRCA1 or BRCA2. In silico SNP analysis was employed to identify suspect variants followed by validation using Sanger DNA sequencing...
2017: PloS One
Filippo Biscarini, Nelson Nazzicari, Marco Bink, Pere Arús, Maria José Aranzana, Ignazio Verde, Sabrina Micali, Thierry Pascal, Benedicte Quilot-Turion, Patrick Lambert, Cassia da Silva Linge, Igor Pacheco, Daniele Bassi, Alessandra Stella, Laura Rossini
BACKGROUND: Highly polygenic traits such as fruit weight, sugar content and acidity strongly influence the agroeconomic value of peach varieties. Genomic Selection (GS) can accelerate peach yield and quality gain if predictions show higher levels of accuracy compared to phenotypic selection. The available IPSC 9K SNP array V1 allows standardized and highly reliable genotyping, preparing the ground for GS in peach. RESULTS: A repeatability model (multiple records per individual plant) for genome-enabled predictions in eleven European peach populations is presented...
June 6, 2017: BMC Genomics
Jumana Yousuf Al-Aama, Noor Ahmad Shaik, Babajan Banaganapalli, Mohammed A Salama, Omran Rashidi, Ahmed N Sahly, Mohammed O Mohsen, Harbi A Shawoosh, Hebah Ahmad Shalabi, Mohammad Al Edreesi, Sameer E Alharthi, Jun Wang, Ramu Elango, Omar I Saadah
Celiac disease (CD), a multi-factorial auto-inflammatory disease of the small intestine, is known to occur in both sporadic and familial forms. Together HLA and Non-HLA genes can explain up to 50% of CD's heritability. In order to discover the missing heritability due to rare variants, we have exome sequenced a consanguineous Saudi family presenting CD in an autosomal recessive (AR) pattern. We have identified a rare homozygous insertion c.1683_1684insATT, in the conserved coding region of AK5 gene that showed classical AR model segregation in this family...
2017: PloS One
H L Bradford, I Pocrnić, B O Fragomeni, D A L Lourenco, I Misztal
The Algorithm for Proven and Young (APY) enables the implementation of single-step genomic BLUP (ssGBLUP) in large, genotyped populations by separating genotyped animals into core and non-core subsets and creating a computationally efficient inverse for the genomic relationship matrix (G). As APY became the choice for large-scale genomic evaluations in BLUP-based methods, a common question is how to choose the animals in the core subset. We compared several core definitions to answer this question. Simulations comprised a moderately heritable trait for 95,010 animals and 50,000 genotypes for animals across five generations...
May 2, 2017: Journal of Animal Breeding and Genetics, Zeitschrift Für Tierzüchtung und Züchtungsbiologie
H J Woo, C Yu, K Kumar, J Reifman
Genetic susceptibility factors behind psychiatric disorders typically contribute small effects individually. A possible explanation for the missing heritability is that the effects of common variants are not only polygenic but also non-additive, appearing only when interactions within large groups are taken into account. Here, we tested this hypothesis for schizophrenia (SZ) and bipolar disorder (BP) disease risks, and identified genetic factors shared with posttraumatic stress disorder (PTSD). When considered independently, few single-nucleotide polymorphisms (SNPs) reached genome-wide significance...
April 11, 2017: Translational Psychiatry
Wonji Kim, Dandi Qiao, Michael H Cho, Soo Heon Kwak, Kyong Soo Park, Edwin K Silverman, Pak Sham, Sungho Won
Recent improvements in sequencing technology have enabled the investigation of so-called missing heritability, and a large number of affected subjects have been sequenced in order to detect significant associations between human diseases and rare variants. However, the cost of genome sequencing is still high, and a statistically powerful strategy for selecting informative subjects would be useful. Therefore, in this report, we propose a new statistical method for selecting cases and controls for sequencing studies based on family history...
June 15, 2017: Statistics in Medicine
A J Brea-Fernandez, C Fernandez-Rozadilla, M Alvarez-Barona, D Azuara, M M Ginesta, J Clofent, L de Castro, D Gonzalez, M Andreu, X Bessa, X Llor, R Xicola, R Jover, A Castells, S Castellvi-Bel, G Capella, A Carracedo, C Ruiz-Ponte
PURPOSE: A great proportion of the heritability of colorectal cancer (CRC) still remains unexplained, and rare variants, as well as copy number changes, have been proposed as potential candidates to explain the so-called 'missing heritability'. We aimed to identify rare high-to-moderately penetrant copy number variants (CNVs) in patients suspected of having hereditary CRC due to an early onset. METHODS/PATIENTS: We have selected for genome-wide copy number analysis, 27 MMR-proficient early onset CRC patients (<50 years) without identifiable germline mutations in Mendelian genes related to this phenotype...
May 2017: Clinical & Translational Oncology
Marco Cavalli, Gang Pan, Helena Nord, Ola Wallerman, Emelie Wallén Arzt, Olof Berggren, Ingegerd Elvers, Maija-Leena Eloranta, Lars Rönnblom, Kerstin Lindblad Toh, Claes Wadelius
Genome-wide association studies (GWAS) have identified a large number of disease-associated SNPs, but in few cases the functional variant and the gene it controls have been identified. To systematically identify candidate regulatory variants, we sequenced ENCODE cell lines and used public ChIP-seq data to look for transcription factors binding preferentially to one allele. We found 9962 candidate regulatory SNPs, of which 16 % were rare and showed evidence of larger functional effect than common ones. Functionally rare variants may explain divergent GWAS results between populations and are candidates for a partial explanation of the missing heritability...
May 2016: Human Genetics
Rainer Malik, Matthew Traylor, Sara L Pulit, Steve Bevan, Jemma C Hopewell, Elizabeth G Holliday, Wei Zhao, Patricia Abrantes, Philippe Amouyel, John R Attia, Thomas W K Battey, Klaus Berger, Giorgio B Boncoraglio, Ganesh Chauhan, Yu-Ching Cheng, Wei-Min Chen, Robert Clarke, Ioana Cotlarciuc, Stephanie Debette, Guido J Falcone, Jose M Ferro, Dale M Gamble, Andreea Ilinca, Steven J Kittner, Christina E Kourkoulis, Robin Lemmens, Christopher R Levi, Peter Lichtner, Arne Lindgren, Jingmin Liu, James F Meschia, Braxton D Mitchell, Sofia A Oliveira, Joana Pera, Alex P Reiner, Peter M Rothwell, Pankaj Sharma, Agnieszka Slowik, Cathie L M Sudlow, Turgut Tatlisumak, Vincent Thijs, Astrid M Vicente, Daniel Woo, Sudha Seshadri, Danish Saleheen, Jonathan Rosand, Hugh S Markus, Bradford B Worrall, Martin Dichgans
OBJECTIVE: To investigate the influence of common and low-frequency genetic variants on the risk of ischemic stroke (all IS) and etiologic stroke subtypes. METHODS: We meta-analyzed 12 individual genome-wide association studies comprising 10,307 cases and 19,326 controls imputed to the 1000 Genomes (1 KG) phase I reference panel. We selected variants showing the highest degree of association (p < 1E-5) in the discovery phase for replication in Caucasian (13,435 cases and 29,269 controls) and South Asian (2,385 cases and 5,193 controls) samples followed by a transethnic meta-analysis...
March 29, 2016: Neurology
A Xavier, William M Muir, Katy M Rainey
BACKGROUND: Success in genome-wide association studies and marker-assisted selection depends on good phenotypic and genotypic data. The more complete this data is, the more powerful will be the results of analysis. Nevertheless, there are next-generation technologies that seek to provide genotypic information in spite of great proportions of missing data. The procedures these technologies use to impute genetic data, therefore, greatly affect downstream analyses. This study aims to (1) compare the genetic variance in a single-nucleotide polymorphism panel of soybean with missing data imputed using various methods, (2) evaluate the imputation accuracy and post-imputation quality associated with these methods, and (3) evaluate the impact of imputation method on heritability and the accuracy of genome-wide prediction of soybean traits...
February 2, 2016: BMC Bioinformatics
P M VanRaden
Genetic models convert data into estimated breeding values and other information useful to breeders. The goal is to provide accurate and timely predictions of the future performance for each animal (or embryo). Modeling involves defining traits, editing raw data, removing environmental effects, including genetic by environmental interactions and correlations among traits, and accounting for nonadditive inheritance or nonnormal distributions. Data include phenotypes and pedigrees during the last century and genotypes within the last decade...
March 2016: Journal of Dairy Science
Young Jin Kim, Juyoung Lee, Bong-Jo Kim, Taesung Park
BACKGROUND: Rare variants have gathered increasing attention as a possible alternative source of missing heritability. Since next generation sequencing technology is not yet cost-effective for large-scale genomic studies, a widely used alternative approach is imputation. However, the imputation approach may be limited by the low accuracy of the imputed rare variants. To improve imputation accuracy of rare variants, various approaches have been suggested, including increasing the sample size of the reference panel, using sequencing data from study-specific samples (i...
December 29, 2015: BMC Genomics
Laercio R Porto-Neto, William Barendse, John M Henshall, Sean M McWilliam, Sigrid A Lehnert, Antonio Reverter
BACKGROUND: The success of genomic selection in animal breeding hinges on the availability of a large reference population on which genomic-based predictions of additive genetic or breeding values are built. Here, we explore the benefit of combining two unrelated populations into a single reference population. METHODS: The datasets consisted of 1829 Brahman and 1973 Tropical Composite cattle with measurements on five phenotypes relevant to tropical adaptation and genotypes for 71,726 genome-wide single nucleotide polymorphisms (SNPs)...
2015: Genetics, Selection, Evolution: GSE
Armando Caballero, Albert Tenesa, Peter D Keightley
We use computer simulations to investigate the amount of genetic variation for complex traits that can be revealed by single-SNP genome-wide association studies (GWAS) or regional heritability mapping (RHM) analyses based on full genome sequence data or SNP chips. We model a large population subject to mutation, recombination, selection, and drift, assuming a pleiotropic model of mutations sampled from a bivariate distribution of effects of mutations on a quantitative trait and fitness. The pleiotropic model investigated, in contrast to previous models, implies that common mutations of large effect are responsible for most of the genetic variation for quantitative traits, except when the trait is fitness itself...
December 2015: Genetics
V V Bashinskaya, O G Kulakova, A N Boyko, A V Favorov, O O Favorova
Multiple sclerosis (MS) is a common complex neurodegenerative disease of the central nervous system. It develops with autoimmune inflammation and demyelination. Genome-wide association studies (GWASs) serve as a powerful tool for investigating the genetic architecture of MS and are generally used to identify the genetic factors of disease susceptibility, clinical phenotypes, and treatment response. This review considers the main achievements and challenges of using GWAS to identify the genes involved in MS...
November 2015: Human Genetics
Jian Yang, Andrew Bakshi, Zhihong Zhu, Gibran Hemani, Anna A E Vinkhuyzen, Sang Hong Lee, Matthew R Robinson, John R B Perry, Ilja M Nolte, Jana V van Vliet-Ostaptchouk, Harold Snieder, Tonu Esko, Lili Milani, Reedik Mägi, Andres Metspalu, Anders Hamsten, Patrik K E Magnusson, Nancy L Pedersen, Erik Ingelsson, Nicole Soranzo, Matthew C Keller, Naomi R Wray, Michael E Goddard, Peter M Visscher
We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that ∼97% and ∼68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all ∼17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s...
October 2015: Nature Genetics
Madelyn M Gerber, Heather Hampel, Xiao-Ping Zhou, Nathan P Schulz, Adam Suhy, Mehmet Deveci, Ümit V Çatalyürek, Amanda Ewart Toland
Colorectal cancer (CRC) can be classified into different types. Chromosomal instable (CIN) colon cancers are thought to be the most common type of colon cancer. The risk of developing a CIN-related CRC is due in part to inherited risk factors. Genome-wide association studies have yielded over 40 single nucleotide polymorphisms (SNPs) associated with CRC risk, but these only account for a subset of risk alleles. Some of this missing heritability may be due to gene-gene interactions. We developed a strategy to identify interacting candidate genes/loci for CRC risk that utilizes both linkage and RNA-seq data from mouse models in combination with allele-specific imbalance (ASI) studies in human tumors...
November 15, 2015: International Journal of Cancer. Journal International du Cancer
Omnia Gamal El-Dien, Blaise Ratcliffe, Jaroslav Klápště, Charles Chen, Ilga Porth, Yousry A El-Kassaby
BACKGROUND: Genomic selection (GS) in forestry can substantially reduce the length of breeding cycle and increase gain per unit time through early selection and greater selection intensity, particularly for traits of low heritability and late expression. Affordable next-generation sequencing technologies made it possible to genotype large numbers of trees at a reasonable cost. RESULTS: Genotyping-by-sequencing was used to genotype 1,126 Interior spruce trees representing 25 open-pollinated families planted over three sites in British Columbia, Canada...
2015: BMC Genomics
Laura Grange, Jean-François Bureau, Iryna Nikolayeva, Richard Paul, Kristel Van Steen, Benno Schwikowski, Anavaj Sakuntabhai
BACKGROUND: Deciphering the genetic architecture of complex traits is still a major challenge for human genetics. In most cases, genome-wide association studies have only partially explained the heritability of traits and diseases. Epistasis, one potentially important cause of this missing heritability, is difficult to explore at the genome-wide level. Here, we develop and assess a tool based on interactive odds ratios (IOR), Fast Odds Ratio-based sCan for Epistasis (FORCE), as a novel approach for exhaustive genome-wide epistasis search...
2015: BMC Genetics
Ling Wang, Haipeng Shen, Hexuan Liu, Guang Guo
BACKGROUND: Recently mixed linear models are used to address the issue of "missing" heritability in traditional Genome-wide association studies (GWAS). The models assume that all single-nucleotide polymorphisms (SNPs) are associated with the phenotypes of interest. However, it is more common that only a small proportion of SNPs have significant effects on the phenotypes, while most SNPs have no or very small effects. To incorporate this feature, we propose an efficient Hierarchical Bayesian Model (HBM) that extends the existing mixed models to enforce automatic selection of significant SNPs...
February 3, 2015: BMC Genomics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"