Literature DB >> 29862559

Analysis of pedigree data in populations with multiple ancestries: Strategies for dealing with admixture in Caribbean Hispanic families from the ADSP.

Rafael A Nafikov1, Alejandro Q Nato1, Harkirat Sohi1, Bowen Wang2, Lisa Brown3, Andrea R Horimoto1, Badri N Vardarajan4, Sandra M Barral4, Giuseppe Tosto4, Richard P Mayeux4, Timothy A Thornton3, Elizabeth Blue1, Ellen M Wijsman1,3.   

Abstract

Multipoint linkage analysis is an important approach for localizing disease-associated loci in pedigrees. Linkage analysis, however, is sensitive to misspecification of marker allele frequencies. Pedigrees from recently admixed populations are particularly susceptible to this problem because of the challenge of accurately accounting for population structure. Therefore, increasing emphasis on use of multiethnic samples in genetic studies requires reevaluation of best practices, given data currently available. Typical strategies have been to compute allele frequencies from the sample, or to use marker allele frequencies determined by admixture proportions averaged over the entire sample. However, admixture proportions vary among pedigrees and throughout the genome in a family-specific manner. Here, we evaluate several approaches to model admixture in linkage analysis, providing different levels of detail about ancestral origin. To perform our evaluations, for specification of marker allele frequencies, we used data on 67 Caribbean Hispanic admixed families from the Alzheimer's Disease Sequencing Project. Our results show that choice of admixture model has an effect on the linkage analysis results. Variant-specific admixture proportions, computed for individual families, provide the most detailed regional admixture estimates, and, as such, are the most appropriate allele frequencies for linkage analysis. This likely decreases the number of false-positive results, and is straightforward to implement.
© 2018 WILEY PERIODICALS, INC.

Entities:  

Keywords:  Markov Chain Monte Carlo; complex trait; large pedigrees; late-onset disease; missing data

Mesh:

Year:  2018        PMID: 29862559      PMCID: PMC6160322          DOI: 10.1002/gepi.22133

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


  55 in total

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Journal:  Science       Date:  2002-12-20       Impact factor: 47.728

3.  Age-at-onset linkage analysis in Caribbean Hispanics with familial late-onset Alzheimer's disease.

Authors:  Joseph H Lee; Sandra Barral; Rong Cheng; Inara Chacon; Vincent Santana; Jennifer Williamson; Rafael Lantigua; Martin Medrano; Ivonne Z Jimenez-Velazquez; Yaakov Stern; Benjamin Tycko; Ekaterina Rogaeva; Yosuke Wakutani; Toshitaka Kawarai; Peter St George-Hyslop; Richard Mayeux
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Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
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7.  GIGI: an approach to effective imputation of dense genotypes on large pedigrees.

Authors:  Charles Y K Cheung; Elizabeth A Thompson; Ellen M Wijsman
Journal:  Am J Hum Genet       Date:  2013-04-04       Impact factor: 11.025

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9.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

10.  Cloning of a gene bearing missense mutations in early-onset familial Alzheimer's disease.

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Journal:  Nature       Date:  1995-06-29       Impact factor: 49.962

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