نتایج جستجو برای: quantitative study

تعداد نتایج: 4154513  

2009
Chao Xing Guan Xing

The selective genotyping approach in quantitative genetics means genotyping only individuals with extreme phenotypes. This approach is considered an efficient way to perform gene mapping, and can be applied in both linkage and association studies. Selective genotyping in association mapping of quantitative trait loci was proposed to increase the power of detecting rare alleles of large effect. ...

2017
Anu Pasanen Minna K. Karjalainen Louis Bont Eija Piippo-Savolainen Marja Ruotsalainen Emma Goksör Kuldeep Kumawat Hennie Hodemaekers Kirsi Nuolivirta Tuomas Jartti Göran Wennergren Mikko Hallman Mika Rämet Matti Korppi

Bronchiolitis is a major cause of hospitalization among infants. Severe bronchiolitis is associated with later asthma, suggesting a common genetic predisposition. Genetic background of bronchiolitis is not well characterized. To identify polymorphisms associated with bronchiolitis, we conducted a genome-wide association study (GWAS) in which 5,300,000 single nucleotide polymorphisms (SNPs) were...

2018
Yogasudha Veturi Marylyn D. Ritchie

Transcriptome-wide association studies (TWAS) have recently been employed as an approach that can draw upon the advantages of genome-wide association studies (GWAS) and gene expression studies to identify genes associated with complex traits. Unlike standard GWAS, summary level data suffices for TWAS and offers improved statistical power. Two popular TWAS methods include either (a) imputing the...

2014
Abhishek Nag Cristina Venturini Kerrin S. Small Terri L. Young Ananth C. Viswanathan David A. Mackey Pirro G. Hysi Christopher Hammond Tin Aung Ching-Yu Cheng Brian W Fleck Jane Gibson Alex W Hewitt Albert Hofman René Höhn Jost B Jonas Chiea-Cheun Khor Caroline CW Klaver Hans G Lemij Jiemin Liao Andrew J Lotery Yi Lu Stuart Macgregor Paul Mitchell Wishal D Ramdas Henriët Springelkamp E-Shyong Tai Yik-Ying Teo André G Uitterlinden Cornelia M van Duijn Leonieke ME van Koolwijk Johannes R Vingerling Veronique Vitart Eranga Vithana Jie Jin Wang Katie M Williams Robert Wojciechowski Tien-Yin Wong Liang Xu Ekaterina Yonova-Doing Zeller Tanja

Glaucoma is a major cause of blindness in the world. To date, common genetic variants associated with glaucoma only explain a small proportion of its heritability. We performed a genome-wide association study of intra-ocular pressure (IOP), an underlying endophenotype for glaucoma. The discovery phase of the study was carried out in the TwinsUK cohort (N = 2774) analyzing association between IO...

2010
Ke Hao Eugene Chudin Danielle Greenawalt Eric E. Schadt

Genome-wide association studies (GWAS) may be biased by population stratification (PS). We conducted empirical quantification of the magnitude of PS among human populations and its impact on GWAS. Liver tissues were collected from 979, 59 and 49 Caucasian Americans (CA), African Americans (AA) and Hispanic Americans (HA), respectively, and genotyped using Illumina650Y (Ilmn650Y) arrays. RNA was...

2016
Ruqi Tang Yiran Wei Zhiqiang Li Haoyan Chen Qi Miao Zhaolian Bian Haiyan Zhang Qixia Wang Zhaoyue Wang Min Lian Fan Yang Xiang Jiang Yue Yang Enling Li Michael F. Seldin M. Eric Gershwin Wilson Liao Yongyong Shi Xiong Ma

Primary biliary cirrhosis (PBC), a chronic autoimmune liver disease, has been associated with increased incidence of osteoporosis. Intriguingly, two PBC susceptibility loci identified through genome-wide association studies are also involved in bone mineral density (BMD). These observations led us to investigate the genetic variants shared between PBC and BMD. We evaluated 72 genome-wide signif...

Journal: :PloS one 2016
Celeste M Karch Lubov A Ezerskiy Sarah Bertelsen Alison M Goate

Late onset Alzheimer's disease (LOAD) is a genetically complex and clinically heterogeneous disease. Recent large-scale genome wide association studies (GWAS) have identified more than twenty loci that modify risk for AD. Despite the identification of these loci, little progress has been made in identifying the functional variants that explain the association with AD risk. Thus, we sought to de...

2016
Brian H. Chen Marie-France Hivert Marjolein J. Peters Luke C. Pilling John D. Hogan Lisa M. Pham Lorna W. Harries Caroline S. Fox Stefania Bandinelli Abbas Dehghan Dena G. Hernandez Albert Hofman Jaeyoung Hong Roby Joehanes Andrew D. Johnson Peter J. Munson Denis V. Rybin Andrew B. Singleton André G. Uitterlinden Saixia Ying David Melzer Daniel Levy Joyce B.J. van Meurs Luigi Ferrucci Jose C. Florez Josée Dupuis James B. Meigs Eric D. Kolaczyk

Genome-wide association studies (GWAS) have successfully identified genetic loci associated with glycemic traits. However, characterizing the functional significance of these loci has proven challenging. We sought to gain insights into the regulation of fasting insulin and fasting glucose through the use of gene expression microarray data from peripheral blood samples of participants without di...

2016
Hanseol Kim Jihye Ryu Chaeyoung Lee

A genome-wide association study was conducted to identify expression quantitative trait loci (eQTL) for human telomerase.We tested the genetic associations of nucleotide variants with expression of the genes encoding human telomerase reverse transcriptase (hTERT) and telomerase RNA components (TERC) in lymphoblastoid cell lines derived from 373 Europeans.Our results revealed 6 eQTLs associated ...

2011
Lingjun Zuo Clarence K. Zhang Fei Wang Chiang-Shan R. Li Hongyu Zhao Lingeng Lu Xiang-Yang Zhang Lin Lu Heping Zhang Fengyu Zhang John H. Krystal Xingguang Luo

Several genome-wide association studies (GWASs) reported tens of risk genes for alcohol dependence, but most of them have not been replicated or confirmed by functional studies. The present study used a GWAS to search for novel, functional and replicable risk gene regions for alcohol dependence. Associations of all top-ranked SNPs identified in a discovery sample of 681 African-American (AA) ca...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید