scholarly journals Whole‐exome sequencing and genome‐wide association studies identify novel sarcopenia risk genes in Han Chinese

2020 ◽  
Vol 8 (8) ◽  
Author(s):  
Shu Ran ◽  
Xiao He ◽  
Zi‐Xuan Jiang ◽  
Yu Liu ◽  
Yu‐Xue Zhang ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Association Studies ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Risk Genes ◽  
Genome Wide ◽  
Whole Exome

scholarly journals Genes identified through genome-wide association studies of osteonecrosis in childhood acute lymphoblastic leukemia patients

2019 ◽  
Vol 20 (17) ◽  
pp. 1189-1197 ◽  
Author(s):  
Vincent Gagné ◽  
Anne Aubry-Morin ◽  
Maria Plesa ◽  
Rachid Abaji ◽  
Kateryna Petrykey ◽  
...  
Keyword(s):  
Association Studies ◽  
Lymphoblastic Leukemia ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Sequencing Data ◽  
Childhood All ◽  
Exome Sequencing Data ◽  
Genome Wide ◽  
Whole Exome ◽  
Whole Exome Sequencing Data

Aim: To evaluate top-ranking genes identified through genome-wide association studies for an association with corticosteroid-related osteonecrosis in children with acute lymphoblastic leukemia (ALL) who received Dana–Farber Cancer Institute treatment protocols. Patients & methods: Lead SNPs from these studies, as well as other variants in the same genes, pooled from whole exome sequencing data, were analyzed for an association with osteonecrosis in childhood ALL patients from Quebec cohort. Top-ranking variants were verified in the replication patient group. Results: The analyses of variants in the ACP1-SH3YL1 locus derived from whole exome sequencing data showed an association of several correlated SNPs (rs11553746, rs2290911, rs7595075, rs2306060 and rs79716074). The rs79716074 defines *B haplotype of the APC1 gene, which is well known for its functional role. Conclusion: This study confirms implication of the ACP1 gene in the treatment-related osteonecrosis in childhood ALL and identifies novel, potentially causal variant of this complication.

scholarly journals Genome-wide association study in Chinese cohort identifies one novel hypospadias risk associated locus at 12q13.13

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhongzhong Chen ◽  
Xiaoling Lin ◽  
Yunping Lei ◽  
Haitao Chen ◽  
Richard H. Finnell ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Chinese Patients ◽  
Genome Wide Association Studies ◽  
Gene Variants ◽  
Genome Wide ◽  
Chinese Cohort

Abstract Background Hypospadias risk–associated gene variants have been reported in populations of European descent using genome-wide association studies (GWASs). There is little known at present about any possible hypospadias risk associations in Han Chinese populations. Methods To systematically investigate hypospadias risk–associated gene variants in Chinese patients, we performed the first GWAS in a Han Chinese cohort consisting of 197 moderate-severe hypospadias cases and 933 unaffected controls. Suggestive loci (p < 1 × 10− 4) were replicated in 118 cases and 383 controls, as well as in a second independent validation population of 137 cases and 190 controls. Regulatory and protein-protein interactions (PPIs) were then conducted for the functional analyses of candidate variants. Results We identified rs11170516 with the risk allele G within the SP1/SP7 region that was independently associated with moderate-severe hypospadias [SP1/SP7, rs11170516, Pcombine = 3.5 × 10− 9, odds ratio (OR) = 1.96 (1.59–2.44)]. Results also suggested that rs11170516 is associated with the expression of SP1 as a cis-expression quantitative trait locus (cis-eQTL). Protein SP1 could affect the risk of hypospadias via PPIs. Conclusions We performed the first GWAS of moderate-severe hypospadias in a Han Chinese cohort, and identified one novel susceptibility cis-acting regulatory locus at 12q13.13, which may regulate a variety of hypospadias-related pathways by affecting proximal SP1 gene expression and subsequent PPIs. This study complements known common hypospadias risk-associated variants and provides the possible role of cis-acting regulatory variant in causing hypospadias.

scholarly journals Analysis of whole exome sequencing in severe mental illness hints at selection of brain development and immune related genes

2021 ◽  
Author(s):  
Jayant Mahadevan ◽  
Ajai Kumar Pathak ◽  
Alekhya Vemula ◽  
Ravi Kumar Nadella ◽  
Biju Viswanath ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Positive Selection ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Association Studies ◽  
Psychiatric Disease ◽  
Genome Wide Association Studies ◽  
Whole Exome ◽  
Selection Of

Evolutionary trends may underlie some aspects of the risk for common, non-communicable disorders, including psychiatric disease. We analyzed whole exome sequencing data from 80 unique individuals from India coming from families with two or more individuals with severe mental illness. We used Population Branch Statistics (PBS) to identify variants and genes under positive selection and identified 75 genes as candidates for positive selection. Of these, 20 were previously associated with Schizophrenia, Alzheimers disease and cognitive abilities in genome wide association studies. We then checked whether any of these 75 genes were involved in common biological pathways or related to specific cellular or molecular functions. We found that immune related pathways and functions related to innate immunity such as antigen binding were over-represented. We also evaluated for the presence of Neanderthal introgressed segments in these genes and found Neanderthal introgression in a single gene out of the 75 candidate genes. However, the introgression pattern indicates the region is unlikely to be the source for selection. Our findings hint at how selection pressures in individuals from families with a history of severe mental illness may diverge from the general population. Further, it also provides insights into the genetic architecture of severe mental illness, such as schizophrenia and its link to immune factors.

scholarly journals A maternal GOT1 novel variant associated with early-onset severe preeclampsia identified by whole-exome sequencing

2020 ◽  
Author(s):  
Lin Zhang ◽  
Zheng Cao ◽  
Fan Feng ◽  
Ya-Nan Xu ◽  
LIN LI ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Early Onset ◽  
Molecular Mechanisms ◽  
Bioinformatics Analysis ◽  
Perinatal Death ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Mutation Site ◽  
Whole Exome

Abstract Background This study wants to know the genetic cause of preeclampsia (PE) which is a leading cause of maternal and perinatal death, but the underlying molecular mechanisms that cause PE remain poorly understood. Many single nucleotide polymorphisms have been identified by genome-wide association studies and were found to be associated with PE; however, few studies have used whole-exome sequencing (WES) to identify PE mutations. Methods Five patients with severe early-onset preeclampsia (EOPE) were recruited, and WES was performed on each patient. Sanger sequencing was used to confirm the potential causative genetic mutation. Results After a stringent bioinformatics analysis, a rare mutation in the GOT1 gene, c.44C>G:p.P15R, was found in one patient. Bioinformatics analysis showed that the mutation site is highly conserved across several species and was predicted to be a pathogenic mutation according to several online mutational function prediction software packages. Further structural biology homology modeling suggested that P15R would change the electric environment of enzymatic center, and might affect the binding affinity of substrate or product. Conclusion We demonstrated for the first time that the mutation in GOT1 may be associated with EOPE, the results of this study provide researchers and clinicians with a better understanding of the molecular mechanisms that underlie maternal severe EOPE.

Using off-target data from whole-exome sequencing to improve genotyping accuracy, association analysis and polygenic risk prediction

2020 ◽  
Author(s):  
Jinzhuang Dou ◽  
Degang Wu ◽  
Lin Ding ◽  
Kai Wang ◽  
Minghui Jiang ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Risk Prediction ◽  
Small Sample ◽  
Genome Wide Association Studies ◽  
Polygenic Risk ◽  
Genome Wide ◽  
Whole Exome ◽  
Discordance Rate ◽  
Target Data

Abstract Whole-exome sequencing (WES) has been widely used to study the role of protein-coding variants in genetic diseases. Non-coding regions, typically covered by sparse off-target data, are often discarded by conventional WES analyses. Here, we develop a genotype calling pipeline named WEScall to analyse both target and off-target data. We leverage linkage disequilibrium shared within study samples and from an external reference panel to improve genotyping accuracy. In an application to WES of 2527 Chinese and Malays, WEScall can reduce the genotype discordance rate from 0.26% (SE= 6.4 × 10−6) to 0.08% (SE = 3.6 × 10−6) across 1.1 million single nucleotide polymorphisms (SNPs) in the deeply sequenced target regions. Furthermore, we obtain genotypes at 0.70% (SE = 3.0 × 10−6) discordance rate across 5.2 million off-target SNPs, which had ~1.2× mean sequencing depth. Using this dataset, we perform genome-wide association studies of 10 metabolic traits. Despite of our small sample size, we identify 10 loci at genome-wide significance (P &lt; 5 × 10−8), including eight well-established loci. The two novel loci, both associated with glycated haemoglobin levels, are GPATCH8-SLC4A1 (rs369762319, P = 2.56 × 10−12) and ROR2 (rs1201042, P = 3.24 × 10−8). Finally, using summary statistics from UK Biobank and Biobank Japan, we show that polygenic risk prediction can be significantly improved for six out of nine traits by incorporating off-target data (P &lt; 0.01). These results demonstrate WEScall as a useful tool to facilitate WES studies with decent amounts of off-target data.

scholarly journals Comparison of the Performance of Two Commercial Genome-Wide Association Study Genotyping Platforms in Han Chinese Samples

2013 ◽  
Vol 3 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Lei Jiang ◽  
Dana Willner ◽  
Patrick Danoy ◽  
Huji Xu ◽  
Matthew A Brown
Keyword(s):  
Allele Frequency ◽  
Minor Allele Frequency ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Han Chinese ◽  
Minor Allele ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Genome Wide

Abstract Most genome-wide association studies to date have been performed in populations of European descent, but there is increasing interest in expanding these studies to other populations. The performance of genotyping chips in Asian populations is not well established. Therefore, we sought to test the performance of widely used fixed-marker, genome-wide association studies chips in the Han Chinese population. Non-HapMap Chinese samples (n = 396) were genotyped using the Illumina OmniExpress and Affymetrix 6.0 platforms, whereas a subset also were genotyped using the Immunochip. Genotyped markers from the Affymetrix 6.0 and Illumina OmniExpress were used for full genome imputation based on the HapMap 2 JPT+CHB (Japanese from Tokyo, Japan and Chinese from Beijing, China) reference panel. The concordance between markers genotypes for the three platforms was very high whether directly genotyped or genotyped and imputed single nucleotide polymorphisms (SNPs; &gt;99.8% for directly genotyped and &gt;99.5% for genotyped and imputed SNPs, respectively) were compared. The OmniExpress chip data enabled more SNPs to be imputed, particularly SNPs with minor allele frequency &gt;5%. The OmniExpress chip achieved better coverage of HapMap SNPs than the Affymetrix 6.0 chip (73.6% vs. 65.9%, respectively, for minor allele frequency &gt;5%). The Affymetrix 6.0 and Illumina OmniExpress chip have similar genotyping accuracy and provide similar accuracy of imputed SNPs. The OmniExpress chip however provides better coverage of Asian HapMap SNPs, although its coverage of HapMap SNPs is moderate.

scholarly journals A maternal GOT1 novel mutation associated with early-onset severe preeclampsia identified by whole-exome sequencing

2019 ◽  
Author(s):  
Lin Zhang ◽  
Zheng Cao ◽  
Fan Feng ◽  
Ya-Nan Xu ◽  
LIN LI ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Early Onset ◽  
Molecular Mechanisms ◽  
Bioinformatics Analysis ◽  
Perinatal Death ◽  
Novel Mutation ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Whole Exome

Abstract Purpose: This study wants to know the genetic cause of preeclampsia (PE) which is a leading cause of maternal and perinatal death, but the underlying molecular mechanisms that cause PE remain poorly understood. Many single nucleotide polymorphisms have been identified by genome-wide association studies and were found to be associated with PE; however, few studies have used whole-exome sequencing (WES) to identify PE mutations.Methods: Five patients with severe early-onset preeclampsia (EOPE) were recruited, and WES was performed on each patient. Sanger sequencing was used to confirm the potential causative genetic mutation. Results: After a stringent bioinformatics analysis, a rare mutation in the GOT1 gene, c.44C>G:p.P15R, was found in one patient. Bioinformatics analysis showed that the mutation site is highly conserved across several species and was predicted to be a pathogenic mutation according to several online mutational function prediction software packages. Further structural biology homology modeling suggested that P15R would change the electric environment of enzymatic center, and might affect the binding affinity of substrate or product. Conclusion: We demonstrated for the first time that the mutation in GOT1 may be associated with EOPE, the results of this study provide researchers and clinicians with a better understanding of the molecular mechanisms that underlie maternal severe EOPE.

scholarly journals Monocyte-specific changes in gene expression implicate LACTB2 and PLIN2 in Alzheimer’s disease

2020 ◽  
Author(s):  
Janet C. Harwood ◽  
Ganna Leonenko ◽  
Rebecca Sims ◽  
Valentina Escott-Price ◽  
Julie Williams ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Association Studies ◽  
Genetic Data ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Risk Genes ◽  
Genome Wide ◽  
Immune Pathways

AbstractMore than 50 genetic loci have been identified as being associated with Alzheimer’s disease (AD) from genome-wide association studies (GWAS) and many of these are involved in immune pathways and lipid metabolism. Therefore, we performed a transcriptome-wide association study (TWAS) of immune-relevant cells, to study the mis-regulation of genes implicated in AD. We used expression and genetic data from naive and induced CD14+ monocytes and two GWAS of AD to study genetically controlled gene expression in monocytes at different stages of differentiation and compared the results with those from TWAS of brain and blood. We identified nine genes with statistically independent TWAS signals, seven are known AD risk genes from GWAS: BIN1, PTK2B, SPI1, MS4A4A, MS4A6E, APOE and PVR and two, LACTB2 and PLIN2/ADRP, are novel candidate genes for AD. Three genes, SPI1, PLIN2 and LACTB2, are TWAS significant specifically in monocytes. LACTB2 is a mitochondrial endoribonuclease and PLIN2/ADRP associates with intracellular neutral lipid storage droplets (LSDs) which have been shown to play a role in the regulation of the immune response. Notably, LACTB2 and PLIN2 were not detected from GWAS alone.

scholarly journals A maternal GOT1 novel mutation associated with early-onset severe preeclampsia identified by whole-exome sequencing

2019 ◽  
Author(s):  
Lin Zhang ◽  
Zheng Cao ◽  
Fan Feng ◽  
Ya-Nan Xu ◽  
LIN LI ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Early Onset ◽  
Molecular Mechanisms ◽  
Bioinformatics Analysis ◽  
Perinatal Death ◽  
Novel Mutation ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Whole Exome

Abstract Purpose This study wants to know the genetic cause of preeclampsia (PE) which is a leading cause of maternal and perinatal death, but the underlying molecular mechanisms that cause PE remain poorly understood. Many single nucleotide polymorphisms have been identified by genome-wide association studies and were found to be associated with PE; however, few studies have used whole-exome sequencing (WES) to identify PE mutations. Methods Five patients with severe early-onset preeclampsia (EOPE) were recruited, and WES was performed on each patient. Sanger sequencing was used to confirm the potential causative genetic mutation. Results After a stringent bioinformatics analysis, a rare mutation in the GOT1 gene, c.44C>G:p.P15R, was found in one patient. Bioinformatics analysis showed that the mutation site is highly conserved across several species and was predicted to be a pathogenic mutation according to several online mutational function prediction software packages. Further structural biology homology modeling suggested that P15R would change the electric environment of enzymatic center, and might affect the binding affinity of substrate or product. Conclusion We demonstrated for the first time that the mutation in GOT1 may be associated with EOPE, the results of this study provide researchers and clinicians with a better understanding of the molecular mechanisms that underlie maternal severe EOPE.

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