Literature DB >> 19365135

Linkage analysis with dense SNP maps in isolated populations.

Céline Bellenguez1, Carole Ober, Catherine Bourgain.   

Abstract

OBJECTIVE: SNP maps are becoming the gold standard for genetic markers, even for linkage analyses. However, because of the density of SNPs on most high throughput platforms, the resulting significant linkage disequilibrium (LD) can bias classical nonparametric multipoint linkage analyses. This problem may be even stronger in population isolates where LD can extend over larger distances and with a more stochastic pattern. We investigate the issue of linkage analysis with SNPs from the Affymetrix 500K GeneChip array in extended families from the isolated Hutterite population.
METHODS: We minimized LD between SNPs by two methods based on a LD block pattern (Merlin and SNPLINK) and by MASEL, a new algorithm that we proposed to select SNP subsets with minimum LD and with no prior hypothesis about the LD pattern.
RESULTS: Simulations, performed using the real LD pattern observed in the Hutterite population, show that sizeable inflation of linkage statistics persist when LD between SNPs is minimized by Merlin and SNPLINK. Inflation of linkage statistics is better controlled with MASEL.
CONCLUSION: In this population, it may be difficult to extract from standard GeneChip arrays a SNP map without LD-driven bias that is more informative than a dense microsatellite map.

Entities:  

Mesh:

Year:  2009        PMID: 19365135      PMCID: PMC2787184          DOI: 10.1159/000212501

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


  35 in total

1.  Ignoring linkage disequilibrium among tightly linked markers induces false-positive evidence of linkage for affected sib pair analysis.

Authors:  Qiqing Huang; Sanjay Shete; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2004-10-18       Impact factor: 11.025

2.  Multipoint linkage analysis for a very dense set of markers.

Authors:  Silviu-Alin Bacanu
Journal:  Genet Epidemiol       Date:  2005-11       Impact factor: 2.135

3.  The affected-/discordant-sib-pair design can guarantee validity of multipoint model-free linkage analysis of incomplete pedigrees when there is marker-marker disequilibrium.

Authors:  Chao Xing; Ritwik Sinha; Guan Xing; Qing Lu; Robert C Elston
Journal:  Am J Hum Genet       Date:  2006-06-26       Impact factor: 11.025

4.  Ignoring intermarker linkage disequilibrium induces false-positive evidence of linkage for consanguineous pedigrees when genotype data is missing for any pedigree member.

Authors:  Bingshan Li; Suzanne M Leal
Journal:  Hum Hered       Date:  2007-12-11       Impact factor: 0.444

5.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

6.  Significant linkage to airway responsiveness on chromosome 12q24 in families of children with asthma in Costa Rica.

Authors:  Juan C Celedón; Manuel E Soto-Quiros; Lydiana Avila; Stephen L Lake; Catherine Liang; Eduardo Fournier; Mitzi Spesny; Craig P Hersh; Jody S Sylvia; Thomas J Hudson; Andrei Verner; Barbara J Klanderman; Nelson B Freimer; Edwin K Silverman; Scott T Weiss
Journal:  Hum Genet       Date:  2006-09-26       Impact factor: 4.132

7.  A multiple splitting approach to linkage analysis in large pedigrees identifies a linkage to asthma on chromosome 12.

Authors:  Céline Bellenguez; Carole Ober; Catherine Bourgain
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

8.  Evaluation of linkage disequilibrium and its effect on non-parametric multipoint linkage analysis using two high density single-nucleotide polymorphism mapping panels.

Authors:  Sarah Shaw Murray
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

9.  Analysis of high-density single-nucleotide polymorphism data: three novel methods that control for linkage disequilibrium between markers in a linkage analysis.

Authors:  Kristina Allen-Brady; Benjamin D Horne; Alka Malhotra; Craig Teerlink; Nicola J Camp; Alun Thomas
Journal:  BMC Proc       Date:  2007-12-18

10.  Handling linkage disequilibrium in linkage analysis using dense single-nucleotide polymorphisms.

Authors:  Kelly Cho; Qiong Yang; Josée Dupuis
Journal:  BMC Proc       Date:  2007-12-18
View more
  12 in total

1.  Small effective population size and genetic homogeneity in the Val Borbera isolate.

Authors:  Vincenza Colonna; Giorgio Pistis; Lorenzo Bomba; Stefano Mona; Giuseppe Matullo; Rosa Boano; Cinzia Sala; Fiammetta Viganò; Antonio Torroni; Alessandro Achilli; Baharak Hooshiar Kashani; Giovanni Malerba; Giovanni Gambaro; Nicole Soranzo; Daniela Toniolo
Journal:  Eur J Hum Genet       Date:  2012-06-20       Impact factor: 4.246

2.  PBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers.

Authors:  Alejandro Q Nato; Nicola H Chapman; Harkirat K Sohi; Hiep D Nguyen; Zoran Brkanac; Ellen M Wijsman
Journal:  Bioinformatics       Date:  2015-07-30       Impact factor: 6.937

3.  Consanguinity around the world: what do the genomic data of the HGDP-CEPH diversity panel tell us?

Authors:  Anne-Louise Leutenegger; Mourad Sahbatou; Steven Gazal; Howard Cann; Emmanuelle Génin
Journal:  Eur J Hum Genet       Date:  2011-03-02       Impact factor: 4.246

4.  Finding disease genes: a fast and flexible approach for analyzing high-throughput data.

Authors:  William C L Stewart; Esther N Drill; David A Greenberg
Journal:  Eur J Hum Genet       Date:  2011-05-25       Impact factor: 4.246

5.  Can whole-exome sequencing data be used for linkage analysis?

Authors:  Steven Gazal; Simon Gosset; Edgard Verdura; Françoise Bergametti; Stéphanie Guey; Marie-Claude Babron; Elisabeth Tournier-Lasserve
Journal:  Eur J Hum Genet       Date:  2015-07-15       Impact factor: 4.246

6.  A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees.

Authors:  Mark Silberstein; Omer Weissbrod; Lars Otten; Anna Tzemach; Andrei Anisenia; Oren Shtark; Dvir Tuberg; Eddie Galfrin; Irena Gannon; Adel Shalata; Zvi U Borochowitz; Rina Dechter; Elizabeth Thompson; Dan Geiger
Journal:  Bioinformatics       Date:  2012-11-18       Impact factor: 6.937

7.  Obtaining accurate p values from a dense SNP linkage scan.

Authors:  William C L Stewart; Ryan L Subaran
Journal:  Hum Hered       Date:  2012-10-03       Impact factor: 0.444

8.  Identity by descent estimation with dense genome-wide genotype data.

Authors:  Lide Han; Mark Abney
Journal:  Genet Epidemiol       Date:  2011-07-18       Impact factor: 2.135

9.  Comparative assessment of methods for estimating individual genome-wide homozygosity-by-descent from human genomic data.

Authors:  Ozren Polasek; Caroline Hayward; Celine Bellenguez; Veronique Vitart; Ivana Kolcić; Ruth McQuillan; Vanja Saftić; Ulf Gyllensten; James F Wilson; Igor Rudan; Alan F Wright; Harry Campbell; Anne-Louise Leutenegger
Journal:  BMC Genomics       Date:  2010-02-25       Impact factor: 3.969

10.  Genome wide linkage study, using a 250K SNP map, of Plasmodium falciparum infection and mild malaria attack in a Senegalese population.

Authors:  Jacqueline Milet; Gregory Nuel; Laurence Watier; David Courtin; Yousri Slaoui; Paul Senghor; Florence Migot-Nabias; Oumar Gaye; André Garcia
Journal:  PLoS One       Date:  2010-07-15       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.