共查询到20条相似文献，搜索用时 15 毫秒
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João Ricardo Sato Claudinei Eduardo Biazoli Ana Paula Arantes Bueno Arthur Caye Pedro Mario Pan Marcos Santoro Jessica Honorato-Mauer Giovanni Abrahão Salum Marcelo Queiroz Hoexter Rodrigo Affonseca Bressan Andrea Parolin Jackowski Euripedes Constantino Miguel Sintia Belangero Luis Augusto Rohde 《Genes, Brain & Behavior》2023,22(2):e12838
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《American journal of human genetics》2023,110(5):741-761
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Nina Mars Joni V. Lindbohm Pietro della Briotta Parolo Elisabeth Widn Jaakko Kaprio Aarno Palotie FinnGen Samuli Ripatti 《American journal of human genetics》2022,109(12):2152-2162
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《American journal of human genetics》2022,109(5):857-870
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《American journal of human genetics》2023,110(7):1207-1215
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Jia Yan Fazil Aliev Bradley T. Webb Kenneth S. Kendler Vernell S. Williamson Howard J. Edenberg Arpana Agrawal Mark Z. Kos Laura Almasy John I. Nurnberger Marc A. Schuckit John R. Kramer John P. Rice Samuel Kuperman Alison M. Goate Jay A. Tischfield Bernice Porjesz Danielle M. Dick 《Addiction biology》2014,19(4):708-721
Family‐based and genome‐wide association studies (GWAS) of alcohol dependence (AD) have reported numerous associated variants. The clinical validity of these variants for predicting AD compared with family history information has not been reported. Using the Collaborative Study on the Genetics of Alcoholism (COGA) and the Study of Addiction: Genes and Environment (SAGE) GWAS samples, we examined the aggregate impact of multiple single nucleotide polymorphisms (SNPs) on risk prediction. We created genetic sum scores by adding risk alleles associated in discovery samples, and then tested the scores for their ability to discriminate between cases and controls in validation samples. Genetic sum scores were assessed separately for SNPs associated with AD in candidate gene studies and SNPs from GWAS analyses that met varying P‐value thresholds. Candidate gene sum scores did not exhibit significant predictive accuracy. Family history was a better classifier of case‐control status, with a significant area under the receiver operating characteristic curve (AUC) of 0.686 in COGA and 0.614 in SAGE. SNPs that met less stringent P‐value thresholds of 0.01–0.50 in GWAS analyses yielded significant AUC estimates, ranging from mean estimates of 0.549 for SNPs with P < 0.01 to 0.565 for SNPs with P < 0.50. This study suggests that SNPs currently have limited clinical utility, but there is potential for enhanced predictive ability with better understanding of the large number of variants that might contribute to risk. 相似文献
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Nasim Mavaddat Kyriaki Michailidou Joe Dennis Michael Lush Laura Fachal Andrew Lee Jonathan P. Tyrer Ting-Huei Chen Qin Wang Manjeet K. Bolla Xin Yang Muriel A. Adank Thomas Ahearn Kristiina Aittomäki Jamie Allen Irene L. Andrulis Hoda Anton-Culver Natalia N. Antonenkova Douglas F. Easton 《American journal of human genetics》2019,104(1):21-34
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《American journal of human genetics》2023,110(5):722-740
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Biological age measures outperform chronological age in predicting various aging outcomes, yet little is known regarding genetic predisposition. We performed genome‐wide association scans of two age‐adjusted biological age measures (PhenoAgeAcceleration and BioAgeAcceleration), estimated from clinical biochemistry markers (Levine et al., 2018; Levine, 2013) in European‐descent participants from UK Biobank. The strongest signals were found in the APOE gene, tagged by the two major protein‐coding SNPs, PhenoAgeAccel—rs429358 (APOE e4 determinant) (p = 1.50 × 10−72); BioAgeAccel—rs7412 (APOE e2 determinant) (p = 3.16 × 10−60). Interestingly, we observed inverse APOE e2 and e4 associations and unique pathway enrichments when comparing the two biological age measures. Genes associated with BioAgeAccel were enriched in lipid related pathways, while genes associated with PhenoAgeAccel showed enrichment for immune system, cell function, and carbohydrate homeostasis pathways, suggesting the two measures capture different aging domains. Our study reaffirms that aging patterns are heterogeneous across individuals, and the manner in which a person ages may be partly attributed to genetic predisposition. 相似文献
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多基因遗传风险评分（polygenic risk score,PRS）是一种新兴的遗传数据分析方法。该方法通过对个体多个遗传变异位点的综合考虑,对个体复杂疾病的遗传风险进行定量评估,在遗传学领域受到广泛关注,同时该方法的有效性也在临床应用中得到进一步验证。由于PRS的计算涉及大量的基因组数据分析,其模型的数据选择、构建方法以及验证方法均存在较大差异。本综述结合目前已发表的PRS相关研究和算法,对PRS模型以及其应用进行阐述。 相似文献
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Xaquín Gurriarn Julio Rodríguez‐Lpez Gerardo Flrez Csar Pereiro Jos M. Fernndez Emilio Farias Valentín Estvez Manuel Arrojo Javier Costas 《Genes, Brain & Behavior》2019,18(3)
Genetic susceptibility to substance use disorders (SUDs) is partially shared between substances. Heritability of any substance dependence, estimated as 54%, is partly explained by additive effects of common variants. Comorbidity between SUDs and other psychiatric disorders is frequent. The present study aims to analyze the additive role of common variants in this comorbidity using polygenic scores (PGSs) based on genome‐wide association study discovery samples of schizophrenia (SCZ), bipolar disorder, attention‐deficit/hyperactivity disorder, autism spectrum disorder, major depressive disorder and anxiety disorders, available from large consortia. PGSs were calculated for 534 patients meeting DSM‐IV criteria for dependence of a substance and abuse/dependence of another substance between alcohol, tobacco, cannabis, cocaine, opiates, hypnotics, stimulants, hallucinogens and solvents; and 587 blood donors from the same population, Iberians from Galicia, as controls. Significance of the PGS and percentage of variance explained were calculated by logistic regression. Using discovery samples of similar size, significant associations with SUDs were detected for SCZ PGS. SCZ PGS explained more variance in SUDs than in most psychiatric disorders. Cross‐disorder PGS based on five psychiatric disorders was significant after adjustment for the effect of SCZ PGS. SCZ PGS was significantly higher in women than in men abusing alcohol. Our findings indicate that SUDs share genetic susceptibility with SCZ to a greater extent than with other psychiatric disorders, including externalizing disorders such as attention‐deficit/hyperactivity disorder. Women have lower probability to develop substance abuse/dependence than men at similar PGS probably because of a higher social pressure against excessive drug use in women. 相似文献
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