Literature DB >> 15514889

Comparison of microsatellites versus single-nucleotide polymorphisms in a genome linkage screen for prostate cancer-susceptibility Loci.

Daniel J Schaid1, Jennifer C Guenther, Gerald B Christensen, Scott Hebbring, Carsten Rosenow, Christopher A Hilker, Shannon K McDonnell, Julie M Cunningham, Susan L Slager, Michael L Blute, Stephen N Thibodeau.   

Abstract

Prostate cancer is one of the most common cancers among men and has long been recognized to occur in familial clusters. Brothers and sons of affected men have a 2-3-fold increased risk of developing prostate cancer. However, identification of genetic susceptibility loci for prostate cancer has been extremely difficult. Although the suggestion of linkage has been reported for many chromosomes, the most promising regions have been difficult to replicate. In this study, we compare genome linkage scans using microsatellites with those using single-nucleotide polymorphisms (SNPs), performed in 467 men with prostate cancer from 167 families. For the microsatellites, the ABI Prism Linkage Mapping Set version 2, with 402 microsatellite markers, was used, and, for the SNPs, the Early Access Affymetrix Mapping 10K array was used. Our results show that the presence of linkage disequilibrium (LD) among SNPs can lead to inflated LOD scores, and this seems to be an artifact due to the assumption of linkage equilibrium that is required by the current genetic-linkage software. After excluding SNPs with high LD, we found a number of new LOD-score peaks with values of at least 2.0 that were not found by the microsatellite markers: chromosome 8, with a maximum model-free LOD score of 2.2; chromosome 2, with a LOD score of 2.1; chromosome 6, with a LOD score of 4.2; and chromosome 12, with a LOD score of 3.9. The LOD scores for chromosomes 6 and 12 are difficult to interpret, because they occurred only at the extreme ends of the chromosomes. The greatest gain provided by the SNP markers was a large increase in the linkage information content, with an average information content of 61% for the SNPs, versus an average of 41% for the microsatellite markers. The strengths and weaknesses of microsatellite versus SNP markers are illustrated by the results of our genome linkage scans.

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Year:  2004        PMID: 15514889      PMCID: PMC1182157          DOI: 10.1086/425870

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  34 in total

1.  A multipoint method for detecting genotyping errors and mutations in sibling-pair linkage data.

Authors:  J A Douglas; M Boehnke; K Lange
Journal:  Am J Hum Genet       Date:  2000-03-28       Impact factor: 11.025

2.  A genome screen of multiplex sibships with prostate cancer.

Authors:  B K Suarez; J Lin; J K Burmester; K W Broman; J L Weber; T K Banerjee; K A Goddard; J S Witte; R C Elston; W J Catalona
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

3.  Evidence for a prostate cancer-susceptibility locus on chromosome 20.

Authors:  R Berry; J J Schroeder; A J French; S K McDonnell; B J Peterson; J M Cunningham; S N Thibodeau; D J Schaid
Journal:  Am J Hum Genet       Date:  2000-05-16       Impact factor: 11.025

4.  Detection and integration of genotyping errors in statistical genetics.

Authors:  Eric Sobel; Jeanette C Papp; Kenneth Lange
Journal:  Am J Hum Genet       Date:  2002-01-08       Impact factor: 11.025

5.  Linkage and association studies of prostate cancer susceptibility: evidence for linkage at 8p22-23.

Authors:  J Xu; S L Zheng; G A Hawkins; D A Faith; B Kelly; S D Isaacs; K E Wiley; B Chang ; C M Ewing; P Bujnovszky; J D Carpten; E R Bleecker; P C Walsh; J M Trent; D A Meyers; W B Isaacs
Journal:  Am J Hum Genet       Date:  2001-07-06       Impact factor: 11.025

6.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

7.  A genome screen of families with multiple cases of prostate cancer: evidence of genetic heterogeneity.

Authors:  C L Hsieh; I Oakley-Girvan; R R Balise; J Halpern; R P Gallagher; A H Wu; L N Kolonel; L E O'Brien; I G Lin; D J Van Den Berg; C Z Teh; D W West; A S Whittemore
Journal:  Am J Hum Genet       Date:  2001-06-12       Impact factor: 11.025

8.  Germline mutations in the ribonuclease L gene in families showing linkage with HPC1.

Authors:  J Carpten; N Nupponen; S Isaacs; R Sood; C Robbins; J Xu; M Faruque; T Moses; C Ewing; E Gillanders; P Hu; P Bujnovszky; I Makalowska; A Baffoe-Bonnie; D Faith; J Smith; D Stephan; K Wiley; M Brownstein; D Gildea; B Kelly; R Jenkins; G Hostetter; M Matikainen; J Schleutker; K Klinger; T Connors; Y Xiang; Z Wang; A De Marzo; N Papadopoulos; O-P Kallioniemi; R Burk; D Meyers; H Grönberg; P Meltzer; R Silverman; J Bailey-Wilson; P Walsh; W Isaacs; J Trent
Journal:  Nat Genet       Date:  2002-01-22       Impact factor: 38.330

9.  Combined analysis of hereditary prostate cancer linkage to 1q24-25: results from 772 hereditary prostate cancer families from the International Consortium for Prostate Cancer Genetics.

Authors:  J Xu
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

10.  A candidate prostate cancer susceptibility gene at chromosome 17p.

Authors:  S V Tavtigian; J Simard; D H Teng; V Abtin; M Baumgard; A Beck; N J Camp; A R Carillo; Y Chen; P Dayananth; M Desrochers; M Dumont; J M Farnham; D Frank; C Frye; S Ghaffari; J S Gupte; R Hu; D Iliev; T Janecki; E N Kort; K E Laity; A Leavitt; G Leblanc; J McArthur-Morrison; A Pederson; B Penn; K T Peterson; J E Reid; S Richards; M Schroeder; R Smith; S C Snyder; B Swedlund; J Swensen; A Thomas; M Tranchant; A M Woodland; F Labrie; M H Skolnick; S Neuhausen; J Rommens; L A Cannon-Albright
Journal:  Nat Genet       Date:  2001-02       Impact factor: 38.330

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  53 in total

1.  Robust multipoint identical-by-descent mapping for affected relative pairs.

Authors:  Daniel J Schaid; Jason P Sinnwell; Stephen N Thibodeau
Journal:  Am J Hum Genet       Date:  2004-11-30       Impact factor: 11.025

2.  Handling marker-marker linkage disequilibrium: pedigree analysis with clustered markers.

Authors:  Gonçalo R Abecasis; Janis E Wigginton
Journal:  Am J Hum Genet       Date:  2005-09-20       Impact factor: 11.025

Review 3.  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

4.  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

5.  Genomewide linkage scan for opioid dependence and related traits.

Authors:  Joel Gelernter; Carolien Panhuysen; Marsha Wilcox; Victor Hesselbrock; Bruce Rounsaville; James Poling; Roger Weiss; Susan Sonne; Hongyu Zhao; Lindsay Farrer; Henry R Kranzler
Journal:  Am J Hum Genet       Date:  2006-03-16       Impact factor: 11.025

6.  The value of molecular haplotypes in a family-based linkage study.

Authors:  E M Gillanders; J V Pearson; A J M Sorant; J M Trent; J R O'Connell; J E Bailey-Wilson
Journal:  Am J Hum Genet       Date:  2006-06-28       Impact factor: 11.025

7.  Genetic studies of stuttering in a founder population.

Authors:  Jacqueline K Wittke-Thompson; Nicoline Ambrose; Ehud Yairi; Cheryl Roe; Edwin H Cook; Carole Ober; Nancy J Cox
Journal:  J Fluency Disord       Date:  2006-12-30       Impact factor: 2.538

Review 8.  Current concepts in the molecular genetics of pediatric brain tumors: implications for emerging therapies.

Authors:  Mandeep S Tamber; Krishan Bansal; Muh-Lii Liang; Todd G Mainprize; Bodour Salhia; Paul Northcott; Michael Taylor; James T Rutka
Journal:  Childs Nerv Syst       Date:  2006-09-02       Impact factor: 1.475

9.  Multipoint linkage analysis with many multiallelic or dense diallelic markers: Markov chain-Monte Carlo provides practical approaches for genome scans on general pedigrees.

Authors:  Ellen M Wijsman; Joseph H Rothstein; Elizabeth A Thompson
Journal:  Am J Hum Genet       Date:  2006-09-20       Impact factor: 11.025

10.  A genome-wide scan for genes involved in primary vesicoureteric reflux.

Authors:  H Kelly; C M Molony; J M Darlow; M E Pirker; A Yoneda; A J Green; P Puri; D E Barton
Journal:  J Med Genet       Date:  2007-07-27       Impact factor: 6.318

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