Literature DB >> 9811419

Linkage and association.

R C Elston1.   

Abstract

Methods of both linkage analysis and association analysis may be model-based or model-free. The former are useful for initial exploratory analysis, the latter for more detailed multivariate genometric analysis. Linkage leads to an association, but that association may be solely intrafamilial. Allelic association may be due to pleiotropy, linkage disequilibrium, meiotic drive, selection, or population stratification. Using non-transmitted parental alleles as controls for alleles transmitted to cases, in conjunction with a McNemar-type test, does not detect association in the absence of linkage. Model-based analyses should use models that approximate the complexity of the disease being studied in order to be both robust and powerful.

Mesh:

Year:  1998        PMID: 9811419     DOI: 10.1002/(SICI)1098-2272(1998)15:6<565::AID-GEPI2>3.0.CO;2-J

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  13 in total

1.  Sibling-based tests of linkage and association for quantitative traits.

Authors:  D B Allison; M Heo; N Kaplan; E R Martin
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

2.  Accurate and flexible power calculations on the spot: Applications to genomic research.

Authors:  Hemant K Tiwari; Thomas Birkner; Ankur Moondan; Shiju Zhang; Grier P Page; Amit Patki; David B Allison
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

3.  Quantification of population structure using correlated SNPs by shrinkage principal components.

Authors:  Fei Zou; Seunggeun Lee; Michael R Knowles; Fred A Wright
Journal:  Hum Hered       Date:  2010-04-23       Impact factor: 0.444

Review 4.  Complex phenotypes and complex genetics: an introduction to genetic studies of complex traits.

Authors:  John W Belmont; Suzanne M Leal
Journal:  Curr Atheroscler Rep       Date:  2005-05       Impact factor: 5.113

Review 5.  Power and pitfalls of the genome-wide association study approach to identify genes for Alzheimer's disease.

Authors:  Richard Sherva; Lindsay A Farrer
Journal:  Curr Psychiatry Rep       Date:  2011-04       Impact factor: 5.285

6.  Improvement of mapping accuracy by unifying linkage and association analysis.

Authors:  Xiang-Yang Lou; Jennie Z Ma; Mark C K Yang; Jun Zhu; Peng-Yuan Liu; Hong-Wen Deng; Robert C Elston; Ming D Li
Journal:  Genetics       Date:  2005-09-19       Impact factor: 4.562

7.  Unbiased and locally efficient estimation of genetic effect on quantitative trait in the presence of population admixture.

Authors:  Yuanjia Wang; Qiong Yang; Daniel Rabinowitz
Journal:  Biometrics       Date:  2010-06-16       Impact factor: 2.571

Review 8.  Genetics of diabetic nephropathy in the Pima Indians.

Authors:  G Imperatore; W C Knowler; R G Nelson; R L Hanson
Journal:  Curr Diab Rep       Date:  2001-12       Impact factor: 4.810

9.  The association of single nucleotide polymorphisms in the calcitonin gene with primary osteoarthritis of the knee in Mexican mestizo population.

Authors:  J J Magaña; B Muñoz; V M Borgonio-Cuadra; C Razo-Estrada; C González-Huerta; S Cortés-González; A Albores; A Miranda-Duarte
Journal:  Rheumatol Int       Date:  2013-04-11       Impact factor: 2.631

10.  Relationships between the Osteocalcin gene polymorphisms, serum osteocalcin levels, and hepatitis B virus-related hepatocellular carcinoma in a Chinese population.

Authors:  Yanqiong Liu; Liying Huang; Yu Lu; Xue-E Xi; Xiu-Li Huang; Qinghua Lu; Xiamei Huang; Shan Li; Xue Qin
Journal:  PLoS One       Date:  2015-01-14       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.