scholarly journals A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts

2016 ◽  
Author(s):  
Sara Lindström ◽  
Stephanie Loomis ◽  
Constance Turman ◽  
Hongyan Huang ◽  
Jinyan Huang ◽  
...  
Keyword(s):  
Association Studies ◽  
Health Study ◽  
Genome Wide Association Studies ◽  
Significance Level ◽  
Common Reference ◽  
Data Merging ◽  
Multiple Exposures ◽  
Comprehensive Survey ◽  
Study Participants ◽  
Secondary Phenotypes

ABSTRACTThe Nurses’ Health Study (NHS), Nurses’ Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years. Over 160,000 study participants across the cohorts have donated a DNA sample and to date, 20,691 subjects have been genotyped as part of genome-wide association studies (GWAS) of twelve primary outcomes. However, these studies utilized six different GWAS arrays making it difficult to conduct analyses of secondary phenotypes or share controls across studies. To allow for secondary analyses of these data, we have created three new datasets merged by platform family and performed imputation using a common reference panel, the 1,000 Genomes Phase I release. Here, we describe the methodology behind the data merging and imputation and present imputation quality statistics and association results from two GWAS of secondary phenotypes (body mass index (BMI) and venous thromboembolism (VTE)).We observed the strongest BMI association for the FTO SNP rs55872725 (β=0.45, p=3.48×10−22), and using a significance level of p=0.05, we replicated 19 out of 32 known BMI SNPs. For VTE, we observed the strongest association for the rs2040445 SNP (OR=2.17, 95% CI: 1.79-2.63, p=2.70×10−15), located downstream of F5 and also observed significant associations for the known ABO and F11 regions. This pooled resource can be used to maximize power in GWAS of phenotypes collected across the cohorts and for studying gene-environment interactions as well as rare phenotypes and genotypes.

Are there monogenic hereditary forms of bladder cancer or only genetic susceptibilities?

2021 ◽  
Author(s):  
Tarek Souaid ◽  
Joya-Rita Hindy ◽  
Ernest Diab ◽  
Hampig Raphael Kourie
Keyword(s):  
Bladder Cancer ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Significance Level ◽  
Dna Mismatch ◽  
Common Cancer ◽  
Genome Wide ◽  
Dna Mismatch Repair Genes ◽  
Mutyh Associated Polyposis

Bladder cancer (BC) is the most common cancer involving the urinary system and the ninth most common cancer worldwide. Tobacco smoking is the most important environmental risk factor of BC. Several single nucleotide polymorphisms have been validated by genome-wide association studies as genetic risk factors for BC. However, the identification of DNA mismatch-repair genes, including MSH2 in Lynch syndrome and MUTYH in MUTYH-associated polyposis, raises the possibility of monogenic hereditary forms of BC. Moreover, other genetic mutations may play a key role in familial and hereditary transmissions of BC. Therefore, the aim of this review is to focus on the major hereditary syndromes involved in the development of BC and to report BC genetic susceptibilities established with genome-wide significance level.

Known colorectal cancer susceptibility loci and survival after colorectal cancer diagnosis.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 394-394 ◽  
Author(s):  
Amanda Phipps ◽  
Xabier Garcia-Albeniz ◽  
Carolyn Hutter ◽  
Emily White ◽  
Charles S. Fuchs ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Fixed Effects ◽  
Cancer Susceptibility ◽  
Association Studies ◽  
Cox Proportional Hazards ◽  
Health Study ◽  
Genome Wide Association Studies ◽  
Increased Risk

394 Background: Beyond clinicopathologic stage, there are few established markers of prognosis in colorectal cancer (CRC). Recent genome-wide association studies have identified 17 germline single nucleotide polymorphisms (SNPs) significantly associated with incident CRC. However, it is unclear if these CRC susceptibility SNPs influence survival after CRC diagnosis. Although the functionality of many of these SNPs remains unknown, a few, including rs4939827 in SMAD7, map to genes with plausible biological mechanisms associated with both cancer risk and prognosis. We examined 17 CRC susceptibility SNPs in relation to survival after CRC diagnosis. Methods: We genotyped 2,611 men and women enrolled in five prospective cohort studies who were diagnosed with invasive CRC during study follow-up: the Physicians’ Health Study (N=281), Health Professionals Follow-up Study (N=268), Nurses’ Health Study (N=367), Vitamins and Lifestyle Study (N=281), and the Women’s Health Initiative (N=1414). Analyses were limited to Caucasians with known vital status, cause of death, and survival time. We used Cox proportional hazards regression to assess associations between each SNP and CRC-specific and overall survival in study-specific models adjusted for age, sex, and stage; SNPs were modeled additively to reflect associations per copy of the minor allele. Study-specific results were combined via fixed-effects meta-analysis. Results: The G allele in rs4939827 was associated with poorer CRC-specific survival [hazard ratio (HR)=1.16, p=0.02] and overall survival (HR=1.13, p=0.03) in CRC patients. The A alleles in rs10795668 and in rs4925386 were associated with a 1.14-fold increased risk of overall mortality (both p-values=0.03) but not CRC-specific mortality. Other evaluated SNPs were not associated with survival. Conclusions: Genetic variation in rs4939827 (SMAD7) is associated with CRC-specific and overall survival. These results suggest that SMAD7 may have a role in CRC progression, and provide proof-of-principle that common germline variation may provide prognostic information beyond traditional considerations such as stage.

scholarly journals Genome-wide association study of clinically defined gout identifies multiple risk loci and its association with clinical subtypes

2015 ◽  
Vol 75 (4) ◽  
pp. 652-659 ◽  
Author(s):  
Hirotaka Matsuo ◽  
Ken Yamamoto ◽  
Hirofumi Nakaoka ◽  
Akiyoshi Nakayama ◽  
Masayuki Sakiyama ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Association Studies ◽  
Clinical Information ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Clinical Parameters ◽  
Nucleotide Polymorphisms ◽  
Male Population ◽  
Significance Level ◽  
Genome Wide

ObjectiveGout, caused by hyperuricaemia, is a multifactorial disease. Although genome-wide association studies (GWASs) of gout have been reported, they included self-reported gout cases in which clinical information was insufficient. Therefore, the relationship between genetic variation and clinical subtypes of gout remains unclear. Here, we first performed a GWAS of clinically defined gout cases only.MethodsA GWAS was conducted with 945 patients with clinically defined gout and 1213 controls in a Japanese male population, followed by replication study of 1048 clinically defined cases and 1334 controls.ResultsFive gout susceptibility loci were identified at the genome-wide significance level (p<5.0×10−8), which contained well-known urate transporter genes (ABCG2 and SLC2A9) and additional genes: rs1260326 (p=1.9×10−12; OR=1.36) of GCKR (a gene for glucose and lipid metabolism), rs2188380 (p=1.6×10−23; OR=1.75) of MYL2-CUX2 (genes associated with cholesterol and diabetes mellitus) and rs4073582 (p=6.4×10−9; OR=1.66) of CNIH-2 (a gene for regulation of glutamate signalling). The latter two are identified as novel gout loci. Furthermore, among the identified single-nucleotide polymorphisms (SNPs), we demonstrated that the SNPs of ABCG2 and SLC2A9 were differentially associated with types of gout and clinical parameters underlying specific subtypes (renal underexcretion type and renal overload type). The effect of the risk allele of each SNP on clinical parameters showed significant linear relationships with the ratio of the case–control ORs for two distinct types of gout (r=0.96 [p=4.8×10−4] for urate clearance and r=0.96 [p=5.0×10−4] for urinary urate excretion).ConclusionsOur findings provide clues to better understand the pathogenesis of gout and will be useful for development of companion diagnostics.

scholarly journals Genomic Prediction of Depression Risk and Resilience Under Stress

2019 ◽  
Author(s):  
Yu Fang ◽  
Laura Scott ◽  
Peter Song ◽  
Margit Burmeister ◽  
Srijan Sen
Keyword(s):  
Risk Score ◽  
Large Scale ◽  
Association Studies ◽  
Health Study ◽  
Polygenic Risk Score ◽  
Genome Wide Association Studies ◽  
Risk And Resilience ◽  
Polygenic Risk ◽  
Response To Stress ◽  
Training Stress

AbstractAdvancing our ability to predict who is likely to develop depression in response to stress holds great potential in reducing the burden of the disorder. Large-scale genome-wide association studies (GWAS) of depression have, for the first time, provided a basis for meaningful depression polygenic risk score construction (MDD-PRS). The Intern Health Study utilizes the predictable and large increase in depression with physician training stress to identify predictors of depression. Applying the MDD-PRS derived from the PGC2/23andMe GWAS to 5,227 training physicians, we found that MDD-PRS predicted depression under training stress (beta=0.082, p=2.1×10−12) and that MDD-PRS was significantly more strongly associated with depression under stress than at baseline (MDD-PRS × stress interaction - beta=0.029, p=0.02). While known risk factors accounted for 85.6% of the association between MDD-PRS and depression at baseline, they only accounted for 55.4% of the association between MDD-PRS and depression under stress, suggesting that MDD-PRS can add unique predictive power to existing models of depression under stress. Further, we found that low MDD-PRS may have particular utility in identifying individuals with high resilience. Together, these findings suggest that polygenic risk score holds promise in furthering our ability to predict vulnerability and resilience under stress.

scholarly journals The HUNT Study: a population-based cohort for genetic research

2021 ◽  
Author(s):  
Ben M. Brumpton ◽  
Sarha Graham ◽  
Ida Surakka ◽  
Anne Heidi Skogholt ◽  
Mari Løset ◽  
...  
Keyword(s):  
Association Studies ◽  
Genetic Research ◽  
Population Based ◽  
Personal Identification ◽  
Health Study ◽  
Genome Wide Association Studies ◽  
Health Care Information ◽  
Serum Samples ◽  
Health Related ◽  
History Of

The Trøndelag Health Study (HUNT) is a population-based cohort of ~229,000 individuals recruited in four waves beginning in 1984 in Trøndelag County, Norway. ~88,000 of these individuals have available genetic data from array genotyping. HUNT participants were recruited during 4 community-based recruitment waves and provided information on health-related behaviors, self-reported diagnoses, family history of disease, and underwent physical examinations. Linkage via the Norwegian personal identification number integrates digitized health care information from doctor visits and national health registries including death, cancer and prescription registries. Genome-wide association studies of HUNT participants have provided insights into the mechanism of cardiovascular, metabolic, osteoporotic and liver-related diseases, among others. Unique features of this cohort that facilitate research include nearly 40 years of longitudinal follow-up in a motivated and well-educated population, family data, comprehensive phenotyping, and broad availability of DNA, RNA, urine, fecal, plasma, and serum samples.

scholarly journals Single nucleotide polymorphism within gene in NFKBIA is associated with the risks of nasopharyngeal carcinoma in Chinese Han population.

2019 ◽  
Vol 5 (suppl) ◽  
pp. 67-67
Author(s):  
Hanyi Zhang ◽  
Shun Lu ◽  
Chang Sun ◽  
Siyao Deng ◽  
Jin Yi Lang
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Association Studies ◽  
Sample Size Calculation ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide ◽  
Significance Level ◽  
Genotype Frequencies ◽  
Increased Risk

67 Background: Nasopharyngeal Carcinoma(NPC) is an Epstein-Barr virus(EBV) associated malignancy with remarkable ethnic and geographical distribution. The EBV oncoprotein latent membrane protein 1 (LMP1) is the primary oncogene of EBV infection through the its signaling cascade and its connections to other pathways including NF-κB, TGF-β and JNK signaling, which plays an important role in the pathogenesis of NPC. In GWASs (Genome-wide association studies) associations these pathways were also identified. Single nucleotide polymorphisms (SNPs) in the regulatory regions may regulate the expression of genes in these pathways, or affect the function of the coded protein. Methods: Altogether 149 SNPs were covered by the 15 SNPs in the TRAF2, TRAF3, NFKBIA, MAP2K4, and CHUK genes were genotyped in a hospital-based case-control study of 350 NPC cases and 587 healthy controls from the Chinese Han. The observed genotype frequencies in the controls were tested for Hardy–Weinberg equilibrium (HWE) using the chi-square test. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for associations between genotypes and NPC risk and tumor characteristics were calculated by logistic regression, and they were adjusted for multiple testing using the SNP spectral deposition (SNPSpD) approach for multilocus analyses. Results: We found one NFKBIA SNP was associated with NPC risk after adjustment for multiple comparisons. Minor allele carriers of the NFKBIA had an increased risk of NPC (P 0.05). The analyses were adjusted for age and gender. For a polymorphism with a variant allele frequency between 10 %and 50%, the study had greater than 90% power to detect an OR of 1.50 at a significance level of 0.05 (PS—software for power and sample size calculation, http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/PowerSampleSize). The other genotyped SNPs that we found were not associated with NPC risk. Conclusions: Our data suggests that genetic variation especially in the NFKBIA maybe a useful biomarker for NPC screening and further studies are warranted.

scholarly journals A meta-analysis of genome-wide association studies of asthma in Puerto Ricans

2017 ◽  
Vol 49 (5) ◽  
pp. 1601505 ◽  
Author(s):  
Qi Yan ◽  
John Brehm ◽  
Maria Pino-Yanes ◽  
Erick Forno ◽  
Jerome Lin ◽  
...  
Keyword(s):  
Puerto Ricans ◽  
Association Studies ◽  
Meta Analysis ◽  
Linkage Disequilibrium Block ◽  
Genome Wide Association ◽  
Health Study ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
The Usa ◽  
Meta Analyses

Puerto Ricans are disproportionately affected with asthma in the USA. In this study, we aim to identify genetic variants that confer susceptibility to asthma in Puerto Ricans.We conducted a meta-analysis of genome-wide association studies (GWAS) of asthma in Puerto Ricans, including participants from: the Genetics of Asthma in Latino Americans (GALA) I-II, the Hartford–Puerto Rico Study and the Hispanic Community Health Study. Moreover, we examined whether susceptibility loci identified in previous meta-analyses of GWAS are associated with asthma in Puerto Ricans.The only locus to achieve genome-wide significance was chromosome 17q21, as evidenced by our top single nucleotide polymorphism (SNP), rs907092 (OR 0.71, p=1.2×10−12) at IKZF3. Similar to results in non-Puerto Ricans, SNPs in genes in the same linkage disequilibrium block as IKZF3 (e.g. ZPBP2, ORMDL3 and GSDMB) were significantly associated with asthma in Puerto Ricans. With regard to results from a meta-analysis in Europeans, we replicated findings for rs2305480 at GSDMB, but not for SNPs in any other genes. On the other hand, we replicated results from a meta-analysis of North American populations for SNPs at IL1RL1, TSLP and GSDMB but not for IL33.Our findings suggest that common variants on chromosome 17q21 have the greatest effects on asthma in Puerto Ricans.

scholarly journals Variants of the Aggression-Related RBFOX1 Gene in a Population Representative Birth Cohort Study: Aggressiveness, Personality, and Alcohol Use Disorder

2020 ◽  
Vol 11 ◽  
Author(s):  
Mariliis Vaht ◽  
Kariina Laas ◽  
Noèlia Fernàndez-Castillo ◽  
Triin Kurrikoff ◽  
Margus Kanarik ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Birth Cohort ◽  
Alcohol Use Disorder ◽  
Rna Binding ◽  
Association Studies ◽  
Structured Interview ◽  
Health Study ◽  
Birth Cohort Study ◽  
Big Five Personality ◽  
Genome Wide Association Studies

Background: Recently, RBFOX1, a gene encoding an RNA binding protein, has consistently been associated with aggressive and antisocial behavior. Several loci in the gene have been nominally associated with aggression in genome-wide association studies, the risk alleles being more frequent in the general population. We have hence examined the association of four RBFOX1 single nucleotide polymorphisms, previously found related to aggressive traits, with aggressiveness, personality, and alcohol use disorder in birth cohort representative samples.Methods: We used both birth cohorts of the Estonian Children Personality Behavior and Health Study (ECPBHS; original n = 1,238). Aggressiveness was assessed using the Buss–Perry Aggression Questionnaire and the Lifetime History of Aggressiveness structured interview at age 25 (younger cohort) or 33 (older cohort). Big Five personality at age 25 was measured with self-reports and the lifetime occurrence of alcohol use disorder assessed with the MINI interview. RBFOX1 polymorphisms rs809682, rs8062784, rs12921846, and rs6500744 were genotyped in all participants. Given the restricted size of the sample, correction for multiple comparisons was not applied.Results: Aggressiveness was not significantly associated with the RBFOX1 genotype. RBFOX1 rs8062784 was associated with neuroticism and rs809682 with extraversion. Two out of four analyzed RBFOX1 variants, rs8062784 and rs12921846, were associated with the occurrence of alcohol use disorder.Conclusions: In the birth cohort representative sample of the ECPBHS, no association of RBFOX1 with aggressiveness was found, but RBFOX1 variants affected basic personality traits and the prevalence of alcohol use disorder. Future studies on RBFOX1 should consider the moderating role of personality and alcohol use patterns in aggressiveness.

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