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Walker MT, Bloodworth JC, Kountz TS, McCarty SL, Green JE, Ferrie RP, Campbell JA, Averill SH, Beckman KB, Grammer LC, Eng C, Avila PC, Farber HJ, Rodriguez-Cintron W, Rodriguez-Santana JR, Serebrisky D, Thyne SM, Seibold MA, Burchard EG, Kumar R, Cook-Mills JM. 5-HTP inhibits eosinophilia via intracellular endothelial 5-HTRs; SNPs in 5-HTRs associate with asthmatic lung function. FRONTIERS IN ALLERGY 2024; 5:1385168. [PMID: 38845678 PMCID: PMC11153829 DOI: 10.3389/falgy.2024.1385168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 05/08/2024] [Indexed: 06/09/2024] Open
Abstract
Background Previous research showed that 5-hydroxytryptophan (5HTP), a metabolic precursor of serotonin, reduces allergic lung inflammation by inhibiting eosinophil migration across endothelial monolayers. Objective It is unknown if serotonin receptors are involved in mediating this 5HTP function or if serotonin receptor (HTR) single nucleotide polymorphisms (SNPs) associate with lung function in humans. Methods Serotonin receptor subtypes were assessed by qPCR, western blot, confocal microscopy, pharmacological inhibitors and siRNA knockdown. HTR SNPs were assessed in two cohorts. Results Pharmacological inhibition or siRNA knockdown of the serotonin receptors HTR1A or HTR1B in endothelial cells abrogated the inhibitory effects of 5HTP on eosinophil transendothelial migration. In contrast, eosinophil transendothelial migration was not inhibited by siRNA knockdown of HTR1A or HTR1B in eosinophils. Surprisingly, these HTRs were intracellular in endothelial cells and an extracellular supplementation with serotonin did not inhibit eosinophil transendothelial migration. This is consistent with the inability of serotonin to cross membranes, the lack of selective serotonin reuptake receptors on endothelial cells, and the studies showing minimal impact of selective serotonin reuptake inhibitors on asthma. To extend our HTR studies to humans with asthma, we examined the CHIRAH and GALA cohorts for HTR SNPs that affect HTR function or are associated with behavior disorders. A polygenic index of SNPs in HTRs was associated with lower lung function in asthmatics. Conclusions Serotonin receptors mediate 5HTP inhibition of transendothelial migration and HTR SNPs associate with lower lung function. These results may serve to aid in design of novel interventions for allergic inflammation.
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Affiliation(s)
- Matthew T. Walker
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Jeffrey C. Bloodworth
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Timothy S. Kountz
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Samantha L. McCarty
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Jeremy E. Green
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Ryan P. Ferrie
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Jackson A. Campbell
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Samantha H. Averill
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | - Leslie C. Grammer
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Pedro C. Avila
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Harold J. Farber
- Department of Pediatrics, Section of Pulmonology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, United States
| | | | | | - Denise Serebrisky
- Pediatric Pulmonary Division, Jacobi Medical Center, Bronx, NY, United States
| | - Shannon M. Thyne
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Max A. Seibold
- Center for Genes, Environment, and Health and the Department of Pediatrics, National Jewish Health, Denver, CO, United States
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado, Denver, CO, United States
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Rajesh Kumar
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Division of Allergy and Clinical Immunology, Ann and Robert H Lurie Children’s Hospital of Chicago, Chicago, IL, United States
| | - Joan M. Cook-Mills
- Allergy-Immunology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN, United States
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Chung RH, Tsai WY, Kang CY, Yao PJ, Tsai HJ, Chen CH. FamPipe: An Automatic Analysis Pipeline for Analyzing Sequencing Data in Families for Disease Studies. PLoS Comput Biol 2016; 12:e1004980. [PMID: 27272119 PMCID: PMC4894624 DOI: 10.1371/journal.pcbi.1004980] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/12/2016] [Indexed: 11/18/2022] Open
Abstract
In disease studies, family-based designs have become an attractive approach to analyzing next-generation sequencing (NGS) data for the identification of rare mutations enriched in families. Substantial research effort has been devoted to developing pipelines for automating sequence alignment, variant calling, and annotation. However, fewer pipelines have been designed specifically for disease studies. Most of the current analysis pipelines for family-based disease studies using NGS data focus on a specific function, such as identifying variants with Mendelian inheritance or identifying shared chromosomal regions among affected family members. Consequently, some other useful family-based analysis tools, such as imputation, linkage, and association tools, have yet to be integrated and automated. We developed FamPipe, a comprehensive analysis pipeline, which includes several family-specific analysis modules, including the identification of shared chromosomal regions among affected family members, prioritizing variants assuming a disease model, imputation of untyped variants, and linkage and association tests. We used simulation studies to compare properties of some modules implemented in FamPipe, and based on the results, we provided suggestions for the selection of modules to achieve an optimal analysis strategy. The pipeline is under the GNU GPL License and can be downloaded for free at http://fampipe.sourceforge.net.
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Affiliation(s)
- Ren-Hua Chung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- * E-mail:
| | - Wei-Yun Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Chen-Yu Kang
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Po-Ju Yao
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Hui-Ju Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Gueishan, Taoyuan, Taiwan
- Department and Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
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Biochemical Basis for Dominant Inheritance, Variable Penetrance, and Maternal Effects in RBP4 Congenital Eye Disease. Cell 2015; 161:634-646. [PMID: 25910211 DOI: 10.1016/j.cell.2015.03.006] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Revised: 01/30/2015] [Accepted: 02/20/2015] [Indexed: 01/23/2023]
Abstract
Gestational vitamin A (retinol) deficiency poses a risk for ocular birth defects and blindness. We identified missense mutations in RBP4, encoding serum retinol binding protein, in three families with eye malformations of differing severity, including bilateral anophthalmia. The mutant phenotypes exhibit dominant inheritance, but incomplete penetrance. Maternal transmission significantly increases the probability of phenotypic expression. RBP normally delivers retinol from hepatic stores to peripheral tissues, including the placenta and fetal eye. The disease mutations greatly reduce retinol binding to RBP, yet paradoxically increase the affinity of RBP for its cell surface receptor, STRA6. By occupying STRA6 nonproductively, the dominant-negative proteins disrupt vitamin A delivery from wild-type proteins within the fetus, but also, in the case of maternal transmission, at the placenta. These findings establish a previously uncharacterized mode of maternal inheritance, distinct from imprinting and oocyte-derived mRNA, and define a group of hereditary disorders plausibly modulated by dietary vitamin A.
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Amin N, Hottenga JJ, Hansell NK, Janssens ACJW, de Moor MHM, Madden PAF, Zorkoltseva IV, Penninx BW, Terracciano A, Uda M, Tanaka T, Esko T, Realo A, Ferrucci L, Luciano M, Davies G, Metspalu A, Abecasis GR, Deary IJ, Raikkonen K, Bierut LJ, Costa PT, Saviouk V, Zhu G, Kirichenko AV, Isaacs A, Aulchenko YS, Willemsen G, Heath AC, Pergadia ML, Medland SE, Axenovich TI, de Geus E, Montgomery GW, Wright MJ, Oostra BA, Martin NG, Boomsma DI, van Duijn CM. Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. Eur J Hum Genet 2012; 21:876-82. [PMID: 23211697 DOI: 10.1038/ejhg.2012.263] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2011] [Revised: 09/21/2012] [Accepted: 10/26/2012] [Indexed: 11/10/2022] Open
Abstract
Personality traits are complex phenotypes related to psychosomatic health. Individually, various gene finding methods have not achieved much success in finding genetic variants associated with personality traits. We performed a meta-analysis of four genome-wide linkage scans (N=6149 subjects) of five basic personality traits assessed with the NEO Five-Factor Inventory. We compared the significant regions from the meta-analysis of linkage scans with the results of a meta-analysis of genome-wide association studies (GWAS) (N∼17 000). We found significant evidence of linkage of neuroticism to chromosome 3p14 (rs1490265, LOD=4.67) and to chromosome 19q13 (rs628604, LOD=3.55); of extraversion to 14q32 (ATGG002, LOD=3.3); and of agreeableness to 3p25 (rs709160, LOD=3.67) and to two adjacent regions on chromosome 15, including 15q13 (rs970408, LOD=4.07) and 15q14 (rs1055356, LOD=3.52) in the individual scans. In the meta-analysis, we found strong evidence of linkage of extraversion to 4q34, 9q34, 10q24 and 11q22, openness to 2p25, 3q26, 9p21, 11q24, 15q26 and 19q13 and agreeableness to 4q34 and 19p13. Significant evidence of association in the GWAS was detected between openness and rs677035 at 11q24 (P-value=2.6 × 10(-06), KCNJ1). The findings of our linkage meta-analysis and those of the GWAS suggest that 11q24 is a susceptible locus for openness, with KCNJ1 as the possible candidate gene.
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Affiliation(s)
- Najaf Amin
- Unit of Genetic Epidemiology, Department of Epidemiology and Biostatistics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Silberstein M, Weissbrod O, Otten L, Tzemach A, Anisenia A, Shtark O, Tuberg D, Galfrin E, Gannon I, Shalata A, Borochowitz ZU, Dechter R, Thompson E, Geiger D. A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. Bioinformatics 2012; 29:197-205. [PMID: 23162081 DOI: 10.1093/bioinformatics/bts658] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION The use of dense single nucleotide polymorphism (SNP) data in genetic linkage analysis of large pedigrees is impeded by significant technical, methodological and computational challenges. Here we describe Superlink-Online SNP, a new powerful online system that streamlines the linkage analysis of SNP data. It features a fully integrated flexible processing workflow comprising both well-known and novel data analysis tools, including SNP clustering, erroneous data filtering, exact and approximate LOD calculations and maximum-likelihood haplotyping. The system draws its power from thousands of CPUs, performing data analysis tasks orders of magnitude faster than a single computer. By providing an intuitive interface to sophisticated state-of-the-art analysis tools coupled with high computing capacity, Superlink-Online SNP helps geneticists unleash the potential of SNP data for detecting disease genes. RESULTS Computations performed by Superlink-Online SNP are automatically parallelized using novel paradigms, and executed on unlimited number of private or public CPUs. One novel service is large-scale approximate Markov Chain-Monte Carlo (MCMC) analysis. The accuracy of the results is reliably estimated by running the same computation on multiple CPUs and evaluating the Gelman-Rubin Score to set aside unreliable results. Another service within the workflow is a novel parallelized exact algorithm for inferring maximum-likelihood haplotyping. The reported system enables genetic analyses that were previously infeasible. We demonstrate the system capabilities through a study of a large complex pedigree affected with metabolic syndrome. AVAILABILITY Superlink-Online SNP is freely available for researchers at http://cbl-hap.cs.technion.ac.il/superlink-snp. The system source code can also be downloaded from the system website. CONTACT omerw@cs.technion.ac.il SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Mark Silberstein
- Department of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel
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Han L, Abney M. Identity by descent estimation with dense genome-wide genotype data. Genet Epidemiol 2011; 35:557-67. [PMID: 21769932 DOI: 10.1002/gepi.20606] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2011] [Revised: 05/06/2011] [Accepted: 05/31/2011] [Indexed: 11/11/2022]
Abstract
We present a novel method, IBDLD, for estimating the probability of identity by descent (IBD) for a pair of related individuals at a locus, given dense genotype data and a pedigree of arbitrary size and complexity. IBDLD overcomes the challenges of exact multipoint estimation of IBD in pedigrees of potentially large size and eliminates the difficulty of accommodating the background linkage disequilibrium (LD) that is present in high-density genotype data. We show that IBDLD is much more accurate at estimating the true IBD sharing than methods that remove LD by pruning SNPs and is highly robust to pedigree errors or other forms of misspecified relationships. The method is fast and can be used to estimate the probability for each possible IBD sharing state at every SNP from a high-density genotyping array for hundreds of thousands of pairs of individuals. We use it to estimate point-wise and genomewide IBD sharing between 185,745 pairs of subjects all of whom are related through a single, large and complex 13-generation pedigree and genotyped with the Affymetrix 500 k chip. We find that we are able to identify the true pedigree relationship for individuals who were misidentified in the collected data and estimate empirical kinship coefficients that can be used in follow-up QTL mapping studies. IBDLD is implemented as an open source software package and is freely available.
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Affiliation(s)
- Lide Han
- Department of Human Genetics, University of Chicago, Illinois, USA
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Ruggiero D, Dalmasso C, Nutile T, Sorice R, Dionisi L, Aversano M, Bröet P, Leutenegger AL, Bourgain C, Ciullo M. Genetics of VEGF serum variation in human isolated populations of cilento: importance of VEGF polymorphisms. PLoS One 2011; 6:e16982. [PMID: 21347390 PMCID: PMC3036731 DOI: 10.1371/journal.pone.0016982] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Accepted: 01/19/2011] [Indexed: 11/18/2022] Open
Abstract
Vascular Endothelial Growth Factor (VEGF) is the main player in angiogenesis. Because of its crucial role in this process, the study of the genetic factors controlling VEGF variability may be of particular interest for many angiogenesis-associated diseases. Although some polymorphisms in the VEGF gene have been associated with a susceptibility to several disorders, no genome-wide search on VEGF serum levels has been reported so far. We carried out a genome-wide linkage analysis in three isolated populations and we detected a strong linkage between VEGF serum levels and the 6p21.1 VEGF region in all samples. A new locus on chromosome 3p26.3 significantly linked to VEGF serum levels was also detected in a combined population sample. A sequencing of the gene followed by an association study identified three common single nucleotide polymorphisms (SNPs) influencing VEGF serum levels in one population (Campora), two already reported in the literature (rs3025039, rs25648) and one new signal (rs3025020). A fourth SNP (rs41282644) was found to affect VEGF serum levels in another population (Cardile). All the identified SNPs contribute to the related population linkages (35% of the linkage explained in Campora and 15% in Cardile). Interestingly, none of the SNPs influencing VEGF serum levels in one population was found to be associated in the two other populations. These results allow us to exclude the hypothesis that the common variants located in the exons, intron-exon junctions, promoter and regulative regions of the VEGF gene may have a causal effect on the VEGF variation. The data support the alternative hypothesis of a multiple rare variant model, possibly consisting in distinct variants in different populations, influencing VEGF serum levels.
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Affiliation(s)
- Daniela Ruggiero
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
| | | | - Teresa Nutile
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
| | - Rossella Sorice
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
| | - Laura Dionisi
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
| | - Mario Aversano
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
| | | | | | | | - Marina Ciullo
- Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
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Current world literature. Curr Opin Allergy Clin Immunol 2010; 10:161-6. [PMID: 20357579 DOI: 10.1097/aci.0b013e32833846d5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Mocci E, Concas MP, Fanciulli M, Pirastu N, Adamo M, Cabras V, Fraumene C, Persico I, Sassu A, Picciau A, Prodi DA, Serra D, Biino G, Pirastu M, Angius A. Microsatellites and SNPs linkage analysis in a Sardinian genetic isolate confirms several essential hypertension loci previously identified in different populations. BMC MEDICAL GENETICS 2009; 10:81. [PMID: 19715579 PMCID: PMC2741446 DOI: 10.1186/1471-2350-10-81] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2008] [Accepted: 08/28/2009] [Indexed: 01/11/2023]
Abstract
Background A multiplicity of study designs such as gene candidate analysis, genome wide search (GWS) and, recently, whole genome association studies have been employed for the identification of the genetic components of essential hypertension (EH). Several genome-wide linkage studies of EH and blood pressure-related phenotypes demonstrate that there is no single locus with a major effect while several genomic regions likely to contain EH-susceptibility loci were validated by multiple studies. Methods We carried out the clinical assessment of the entire adult population in a Sardinian village (Talana) and we analyzed 16 selected families with 62 hypertensive subjects out of 267 individuals. We carried out a double GWS using a set of 902 uniformly spaced microsatellites and a high-density SNPs map on the same group of families. Results Three loci were identified by both microsatellites and SNP scans and the obtained linkage results showed a remarkable degree of similarity. These loci were identified on chromosome 2q24, 11q23.1–25 and 13q14.11–21.33. Further support to these findings is their broad description present in literature associated to EH or related phenotypes. Bioinformatic investigation of these loci shows several potential EH candidate genes, several of whom already associated to blood pressure regulation pathways. Conclusion Our search for major susceptibility EH genetic factors evidences that EH in the genetic isolate of Talana is due to the contribution of several genes contained in loci identified and replicated by earlier findings in different human populations.
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Bellenguez C, Ober C, Bourgain C. Linkage analysis with dense SNP maps in isolated populations. Hum Hered 2009; 68:87-97. [PMID: 19365135 DOI: 10.1159/000212501] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2008] [Accepted: 11/25/2008] [Indexed: 01/17/2023] Open
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.
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