Literature DB >> 17215579

Accounting for linkage disequilibrium among markers in linkage analysis: impact of haplotype frequency estimation and molecular haplotypes for a gene in a candidate region for Alzheimer's disease.

Weiva Sieh1, Chang-En Yu, Thomas D Bird, Gerard D Schellenberg, Ellen M Wijsman.   

Abstract

OBJECTIVES: Linkage disequilibrium (LD) between closely spaced SNPs can be accommodated in linkage analysis by specifying the multi-SNP haplotype frequencies, if known. Phased haplotypes in candidate regions can provide gold standard haplotype frequency estimates, and may be of inherent interest as markers. We evaluated the effects of different methods of haplotype frequency estimation, and the use of marker phase information, on linkage analysis of a multi-SNP cluster in a candidate region for Alzheimer's disease (AD).
METHODS: We performed parametric linkage analysis of a five-SNP cluster in extended pedigrees to compare the use of: (1) haplotype frequencies estimated by molecular phase determination, maximum likelihood estimation, or by assuming linkage equilibrium (LE); (2) AD families or controls as the frequency source; and (3) unphased or molecularly phased SNP data.
RESULTS: There was moderate to strong pairwise LD among the five SNPs. Falsely assuming LE substantially inflated the LOD score, but the method of haplotype frequency estimation and particular sample used made little difference provided that LD was accommodated. Use of phased haplotypes produced a modest increase in the LOD score over unphased SNPs.
CONCLUSIONS: Ignoring LD between markers can lead to substantially inflated evidence for linkage in LOD score analysis of extended pedigrees with missing data. Use of marker phase information in linkage analysis may be important in disease studies where the costs of family recruitment and phenotyping greatly exceed the costs of phase determination.

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Year:  2007        PMID: 17215579     DOI: 10.1159/000098459

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  5 in total

1.  Comprehensive analysis of APOE and selected proximate markers for late-onset Alzheimer's disease: patterns of linkage disequilibrium and disease/marker association.

Authors:  Chang-En Yu; Howard Seltman; Elaine R Peskind; Nichole Galloway; Peter X Zhou; Elisabeth Rosenthal; Ellen M Wijsman; Debby W Tsuang; Bernie Devlin; Gerard D Schellenberg
Journal:  Genomics       Date:  2007-04-16       Impact factor: 5.736

2.  Linkage and association analyses identify a candidate region for apoB level on chromosome 4q32.3 in FCHL families.

Authors:  Ellen M Wijsman; Joseph H Rothstein; Robert P Igo; John D Brunzell; Arno G Motulsky; Gail P Jarvik
Journal:  Hum Genet       Date:  2010-04-11       Impact factor: 4.132

Review 3.  The role of large pedigrees in an era of high-throughput sequencing.

Authors:  Ellen M Wijsman
Journal:  Hum Genet       Date:  2012-06-20       Impact factor: 4.132

4.  Unraveling the directional link between adiposity and inflammation: a bidirectional Mendelian randomization approach.

Authors:  Paul Welsh; Eliana Polisecki; Michele Robertson; Sabine Jahn; Brendan M Buckley; Anton J M de Craen; Ian Ford; J Wouter Jukema; Peter W Macfarlane; Chris J Packard; David J Stott; Rudi G J Westendorp; James Shepherd; Aroon D Hingorani; George Davey Smith; Ernst Schaefer; Naveed Sattar
Journal:  J Clin Endocrinol Metab       Date:  2009-11-11       Impact factor: 5.958

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

Authors:  Rafael A Nafikov; Alejandro Q Nato; Harkirat Sohi; Bowen Wang; Lisa Brown; Andrea R Horimoto; Badri N Vardarajan; Sandra M Barral; Giuseppe Tosto; Richard P Mayeux; Timothy A Thornton; Elizabeth Blue; Ellen M Wijsman
Journal:  Genet Epidemiol       Date:  2018-06-03       Impact factor: 2.135

  5 in total

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