Literature DB >> 16983373

Genetic relatedness analysis: modern data and new challenges.

Bruce S Weir1, Amy D Anderson, Amanda B Hepler.   

Abstract

Individuals who belong to the same family or the same population are related because of their shared ancestry. Population and quantitative genetics theory is built with parameters that describe relatedness, and the estimation of these parameters from genetic markers enables progress in fields as disparate as plant breeding, human disease gene mapping and forensic science. The large number of multiallelic microsatellite loci and biallelic SNPs that are now available have markedly increased the precision with which relationships can be estimated, although they have also revealed unexpected levels of genomic heterogeneity of relationship measures.

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Year:  2006        PMID: 16983373     DOI: 10.1038/nrg1960

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  104 in total

1.  Empirical evaluation reveals best fit of a logistic mutation model for human Y-chromosomal microsatellites.

Authors:  Arne Jochens; Amke Caliebe; Uwe Rösler; Michael Krawczak
Journal:  Genetics       Date:  2011-10-03       Impact factor: 4.562

2.  Using identity by descent estimation with dense genotype data to detect positive selection.

Authors:  Lide Han; Mark Abney
Journal:  Eur J Hum Genet       Date:  2012-07-11       Impact factor: 4.246

Review 3.  Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.

Authors:  M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2010-07-14       Impact factor: 3.821

Review 4.  Genomic similarity and kernel methods I: advancements by building on mathematical and statistical foundations.

Authors:  Daniel J Schaid
Journal:  Hum Hered       Date:  2010-07-03       Impact factor: 0.444

5.  Unbiased relatedness estimation in structured populations.

Authors:  Jinliang Wang
Journal:  Genetics       Date:  2011-01-06       Impact factor: 4.562

6.  Statistical genetic issues for genome-wide association studies.

Authors:  Bruce S Weir
Journal:  Genome       Date:  2010-11       Impact factor: 2.166

7.  Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.

Authors:  Ana I Hernandez Cordero; Natalia M Gonzales; Clarissa C Parker; Greta Sokolof; David J Vandenbergh; Riyan Cheng; Mark Abney; Andrew Sko; Alex Douglas; Abraham A Palmer; Jennifer S Gregory; Arimantas Lionikas
Journal:  Am J Hum Genet       Date:  2019-11-21       Impact factor: 11.025

Review 8.  Characterizing allelic association in the genome era.

Authors:  B S Weir; C C Laurie
Journal:  Genet Res (Camb)       Date:  2010-12       Impact factor: 1.588

9.  A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS).

Authors:  Huaqing Zhao; Nandita Mitra; Peter A Kanetsky; Katherine L Nathanson; Timothy R Rebbeck
Journal:  Stat Appl Genet Mol Biol       Date:  2018-12-04

10.  REFINING GENETICALLY INFERRED RELATIONSHIPS USING TREELET COVARIANCE SMOOTHING.

Authors:  Andrew Crossett; Ann B Lee; Lambertus Klei; Bernie Devlin; Kathryn Roeder
Journal:  Ann Appl Stat       Date:  2013-06-27       Impact factor: 2.083

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