scholarly journals Cross-Disorder Analysis of De Novo Variants Increases the Power of Prioritising Candidate Genes

Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 233
Author(s):  
Kuokuo Li ◽  
Zhengbao Ling ◽  
Tengfei Luo ◽  
Guihu Zhao ◽  
Qiao Zhou ◽  
...  
Keyword(s):  
Cohort Studies ◽  
Candidate Genes ◽  
Genetic Heterogeneity ◽  
Neurodevelopmental Disorders ◽  
Genetic Similarity ◽  
De Novo ◽  
Integrated Analysis ◽  
Cohort Size ◽  
Functional Variants ◽  
Small Cohort

De novo variants (DNVs) are critical to the treatment of neurodevelopmental disorders (NDDs). However, effectively identifying candidate genes in small cohorts is challenging in most NDDs because of high genetic heterogeneity. We hypothesised that integrating DNVs from multiple NDDs with genetic similarity can significantly increase the possibility of prioritising the candidate gene. We catalogued 66,186 coding DNVs in 50,028 individuals with nine types of NDDs in cohorts with sizes spanning from 118 to 31,260 from Gene4Denovo database to validate this hypothesis. Interestingly, we found that integrated DNVs can effectively increase the number of prioritised candidate genes for each disorder. We identified 654 candidate genes including 481 shared candidate genes carrying putative functional variants in at least two disorders. Notably, 13.51% (65/481) of shared candidate genes were prioritised only via integrated analysis including 44.62% (29/65) genes validated in recent large cohort studies. Moreover, we estimated that more novel candidate genes will be prioritised with the increase in cohort size, in particular for some disorders with high putative functional DNVs per individual. In conclusion, integrated DNVs may increase the power of prioritising candidate genes, which is important for NDDs with small cohort size.

scholarly journals Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders

2021 ◽  
Author(s):  
Yi Zhang ◽  
Tao Wang ◽  
Yan Wang ◽  
Kun Xia ◽  
Jinchen Li ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Neurodevelopmental Disorders ◽  
De Novo ◽  
Genetic Data ◽  
Chinese Patients ◽  
The Novel ◽  
Mutational Spectrum ◽  
Functional Variants ◽  
Public Data ◽  
Chromosomal Genes

AbstractNeurodevelopmental disorders (NDDs) are a group of diseases characterized by high heterogeneity and frequently co-occurring symptoms. The mutational spectrum in patients with NDDs is largely incomplete. Here, we sequenced 547 genes from 1102 patients with NDDs and validated 1271 potential functional variants, including 108 de novo variants (DNVs) in 78 autosomal genes and seven inherited hemizygous variants in six X chromosomal genes. Notably, 36 of these 78 genes are the first to be reported in Chinese patients with NDDs. By integrating our genetic data with public data, we prioritized 212 NDD candidate genes with FDR < 0.1, including 17 novel genes. The novel candidate genes interacted or were co-expressed with known candidate genes, forming a functional network involved in known pathways. We highlighted MSL2, which carried two de novo protein-truncating variants (p.L192Vfs*3 and p.S486Ifs*11) and was frequently connected with known candidate genes. This study provides the mutational spectrum of NDDs in China and prioritizes 212 NDD candidate genes for further functional validation and genetic counseling.

Targeted Sequencing and Integrative Analysis to Prioritise Candidate Genes in Neurodevelopmental Disorders

2021 ◽  
Author(s):  
Yi Zhang ◽  
Tao Wang ◽  
Yan Wang ◽  
Kun Xia ◽  
Jinchen Li ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Neurodevelopmental Disorders ◽  
De Novo ◽  
Genetic Data ◽  
Chinese Patients ◽  
The Novel ◽  
Mutational Spectrum ◽  
Functional Variants ◽  
Public Data ◽  
Chromosomal Genes

Abstract Neurodevelopmental disorders (NDDs) are a group of diseases characterized by highly heterogeneity and frequently co-occur symptoms. The mutational spectrum in patients with NDDs is largely incomplete. Here, we sequenced 547 genes from 1,102 patients with NDDs and validated 1,271 potential functional variants, including 108 de novo variants (DNVs) in 78 autosomal genes and seven inherited hemizygous variants in six X chromosomal genes. Notably, 36 of these 78 genes are the first to be reported in Chinese patients with NDDs. By integrating our genetic data with public data, we prioritised 212 NDD candidate genes with FDR < 0.1, including 17 novel genes. The novel candidate genes interacted or were co-expressed with known candidate genes, forming a functional network involved in known pathways. We highlighted MSL2, which carried two de novo protein-truncating variants (p.L192Vfs*3 and p.S486Ifs*11) and was most frequently connected with known candidate genes. This study provides the mutational spectrum of NDDs in China and prioritises 212 NDD candidate genes for further functional validation and genetic counseling.

scholarly journals The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ian S. E. Bally ◽  
◽  
Aureliano Bombarely ◽  
Alan H. Chambers ◽  
Yuval Cohen ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Fruit Quality ◽  
De Novo ◽  
Mapping Population ◽  
Mangifera Indica ◽  
Consensus Sequence ◽  
Fruit Size ◽  
Hybrid Population ◽  
High Molecular Weight Dna ◽  
Tropical Fruit

Abstract Background Mango, Mangifera indica L., an important tropical fruit crop, is grown for its sweet and aromatic fruits. Past improvement of this species has predominantly relied on chance seedlings derived from over 1000 cultivars in the Indian sub-continent with a large variation for fruit size, yield, biotic and abiotic stress resistance, and fruit quality among other traits. Historically, mango has been an orphan crop with very limited molecular information. Only recently have molecular and genomics-based analyses enabled the creation of linkage maps, transcriptomes, and diversity analysis of large collections. Additionally, the combined analysis of genomic and phenotypic information is poised to improve mango breeding efficiency. Results This study sequenced, de novo assembled, analyzed, and annotated the genome of the monoembryonic mango cultivar ‘Tommy Atkins’. The draft genome sequence was generated using NRGene de-novo Magic on high molecular weight DNA of ‘Tommy Atkins’, supplemented by 10X Genomics long read sequencing to improve the initial assembly. A hybrid population between ‘Tommy Atkins’ x ‘Kensington Pride’ was used to generate phased haplotype chromosomes and a highly resolved phased SNP map. The final ‘Tommy Atkins’ genome assembly was a consensus sequence that included 20 pseudomolecules representing the 20 chromosomes of mango and included ~ 86% of the ~ 439 Mb haploid mango genome. Skim sequencing identified ~ 3.3 M SNPs using the ‘Tommy Atkins’ x ‘Kensington Pride’ mapping population. Repeat masking identified 26,616 genes with a median length of 3348 bp. A whole genome duplication analysis revealed an ancestral 65 MYA polyploidization event shared with Anacardium occidentale. Two regions, one on LG4 and one on LG7 containing 28 candidate genes, were associated with the commercially important fruit size characteristic in the mapping population. Conclusions The availability of the complete ‘Tommy Atkins’ mango genome will aid global initiatives to study mango genetics.

scholarly journals Rare variant analysis of 4241 pulmonary arterial hypertension cases from an international consortium implicates FBLN2, PDGFD, and rare de novo variants in PAH

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Na Zhu ◽  
◽  
Emilia M. Swietlik ◽  
Carrie L. Welch ◽  
Michael W. Pauciulo ◽  
...  
Keyword(s):  
Pulmonary Arterial Hypertension ◽  
Candidate Genes ◽  
Rare Variant ◽  
De Novo ◽  
Risk Genes ◽  
International Consortium ◽  
Rare Variant Analysis ◽  
New Genes ◽  
Pulmonary Arterial ◽  
Variant Analysis

Abstract Background Pulmonary arterial hypertension (PAH) is a lethal vasculopathy characterized by pathogenic remodeling of pulmonary arterioles leading to increased pulmonary pressures, right ventricular hypertrophy, and heart failure. PAH can be associated with other diseases (APAH: connective tissue diseases, congenital heart disease, and others) but often the etiology is idiopathic (IPAH). Mutations in bone morphogenetic protein receptor 2 (BMPR2) are the cause of most heritable cases but the vast majority of other cases are genetically undefined. Methods To identify new risk genes, we utilized an international consortium of 4241 PAH cases with exome or genome sequencing data from the National Biological Sample and Data Repository for PAH, Columbia University Irving Medical Center, and the UK NIHR BioResource – Rare Diseases Study. The strength of this combined cohort is a doubling of the number of IPAH cases compared to either national cohort alone. We identified protein-coding variants and performed rare variant association analyses in unrelated participants of European ancestry, including 1647 IPAH cases and 18,819 controls. We also analyzed de novo variants in 124 pediatric trios enriched for IPAH and APAH-CHD. Results Seven genes with rare deleterious variants were associated with IPAH with false discovery rate smaller than 0.1: three known genes (BMPR2, GDF2, and TBX4), two recently identified candidate genes (SOX17, KDR), and two new candidate genes (fibulin 2, FBLN2; platelet-derived growth factor D, PDGFD). The new genes were identified based solely on rare deleterious missense variants, a variant type that could not be adequately assessed in either cohort alone. The candidate genes exhibit expression patterns in lung and heart similar to that of known PAH risk genes, and most variants occur in conserved protein domains. For pediatric PAH, predicted deleterious de novo variants exhibited a significant burden compared to the background mutation rate (2.45×, p = 2.5e−5). At least eight novel pediatric candidate genes carrying de novo variants have plausible roles in lung/heart development. Conclusions Rare variant analysis of a large international consortium identified two new candidate genes—FBLN2 and PDGFD. The new genes have known functions in vasculogenesis and remodeling. Trio analysis predicted that ~ 15% of pediatric IPAH may be explained by de novo variants.

Whole exome sequencing identifies FOXL2, FOXA2 and FOXA3 as candidate genes for monogenic congenital anomalies of the kidneys and urinary tract

2021 ◽  
Author(s):  
Bixia Zheng ◽  
Steve Seltzsam ◽  
Chunyan Wang ◽  
Luca Schierbaum ◽  
Sophia Schneider ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Exome Sequencing ◽  
Candidate Genes ◽  
Whole Exome Sequencing ◽  
Congenital Anomalies ◽  
De Novo ◽  
Horseshoe Kidney ◽  
Missense Variant ◽  
Whole Exome ◽  
Fox Genes

Abstract Background Congenital anomalies of the kidneys and urinary tract (CAKUT) constitute the most common cause of chronic kidney disease in the first three decades of life. Variants in four Forkhead box (FOX) transcription factors have been associated with CAKUT. We hypothesized that other FOX genes, if highly expressed in developing kidney, may also represent monogenic causes of CAKUT. Methods We here performed whole exome sequencing (WES) in 541 families with CAKUT and generated 4 lists of CAKUT candidate genes: A) 36 FOX genes showing high expression during renal development, B) 4 FOX genes known to cause CAKUT to validate list A; C) 80 genes that we identified as unique potential novel CAKUT candidate genes when performing WES in 541 CAKUT families, and D) 175 genes identified from WES as multiple potential novel CAKUT candidate genes. Results To prioritize potential novel CAKUT candidates in FOX gene family, we overlapped 36 FOX genes (list A) with list C and D of WES-derived CAKUT candidates. Intersection with list C, identified a de novo FOXL2 in-frame deletion in a patient with eyelid abnormalities and ureteropelvic junction obstruction, and a homozygous FOXA2 missense variant in a patient with horseshoe kidney. Intersection with list D, identified a heterozygous FOXA3 missense variant in a CAKUT family with multiple affected individuals. Conclusion We hereby identified FOXL2, FOXA2 and FOXA3 as novel monogenic candidate genes of CAKUT, supporting the utility of a paralog-based approach to discover mutated genes associated with human disease.

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