GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-9218.2001.00014.x
Judith A. McKay, Jessie Githang’a, Anne Indalo, Tao Li, Xiehe Liu, Margaret-Mary Ameyaw, David Ofori-Adjei, Howard L. McLeod
{"title":"Distinct differences in a cyclin D1 single nucleotide polymorphism between ethnic groups","authors":"Judith A. McKay, Jessie Githang’a, Anne Indalo, Tao Li, Xiehe Liu, Margaret-Mary Ameyaw, David Ofori-Adjei, Howard L. McLeod","doi":"10.1046/j.1466-9218.2001.00014.x","DOIUrl":"10.1046/j.1466-9218.2001.00014.x","url":null,"abstract":"Introduction Cyclin D1, encoded by the CCND1 gene, is a key regulator of the cell cycle at the G1/S phase checkpoint. A common A/G single nucleotide polymorphism (SNP) at nt870 of the CCND1 gene has been associated with outcome in patients with lung tumours and head and neck cancer. The aim of this study was to ascertain the genotype and allele frequency of the CCND1 polymorphism in five distinct ethnic populations.","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"139-142"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2001.00014.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82863972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-920x.2001.00036.x
Joel S. Bader, Aruna Bansal, Pak Sham
{"title":"Efficient SNP-based tests of association for quantitative phenotypes using pooled DNA","authors":"Joel S. Bader, Aruna Bansal, Pak Sham","doi":"10.1046/j.1466-920x.2001.00036.x","DOIUrl":"10.1046/j.1466-920x.2001.00036.x","url":null,"abstract":"<p><b>Introduction </b> Genetic factors underlying complex diseases are difficult to identify: many polymorphisms may contribute, each having a small effect and low penetrance. These factors may be identified by association studies of large populations, an alternative to family-based linkage studies. Allele frequency measurements of pooled DNA selected from population-level DNA repositories can reduce the costs of these studies. We provide guidance for selecting unrelated individuals for pooling and for comparing the power of studies based on pooled measurements to the power of individual genotyping, particularly for studies using single-nucleotide polymorphism (SNP) markers.</p><p><b>Materials and methods </b> We used exact numerical calculations to set pooling criteria that maximized the power to detect association as a function of marker frequency, inheritance mode, and additive variance. Analytical approximations are also provided.</p><p><b>Results and discussion </b> Power estimates are provided for two pooled DNA designs: the classification of individuals as affected or unaffected, analogous to a case-control design, and the optimized selection of individuals with extreme phenotypic values. Optimized selection is approximately fourfold more efficient than affected/unaffected classification. The optimal design for most markers is to pool the top and bottom 27% of individuals. Neglecting experimental measurement error, this design requires a population only 1.24-fold larger than that required for individual genotyping. When measurement error is included, the pooled DNA association test serves better as a pre-screen to identify candidate markers which then proceed to individual genotyping. This strategy can still provide a 100-fold savings over individual genotyping.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"143-150"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-920x.2001.00036.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75226573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-920x.2001.00035.x
Bruce M. Psaty, Mary Cushman, Frits R. Rosendaal
{"title":"Simulation of a putative susceptibility risk factor to explain the findings of the Heart and Estrogen/progestin Replacement Study (HERS)","authors":"Bruce M. Psaty, Mary Cushman, Frits R. Rosendaal","doi":"10.1046/j.1466-920x.2001.00035.x","DOIUrl":"10.1046/j.1466-920x.2001.00035.x","url":null,"abstract":"<p>In the HERS trial, hormone therapy did not reduce the risk of coronary events. In <i>post hoc</i> analyses, treatment was associated with early harm and late benefit. According to one hypothesis, a risk factor may well distinguish a susceptible subgroup with early events associated with hormone therapy from a nonsusceptible subgroup who benefit from hormone therapy. In simulation studies, it appeared that only a susceptibility factor with a low prevalence (3–5%) and a high risk ratio (13–25-fold) can produce the pattern of risks seen in HERS. The number of candidate factors is likely to be small.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"169-171"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-920x.2001.00035.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79327914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-920x.2001.00038.x
Isabelle Arnould, Lynn M. Schriml, Catherine Prades, Marcia Lachtermacher-Triunfol, Thomas Schneider, Christelle Maintoux, Cendrine Lemoine, Delphine Debono, Catherine Devaud, Laurent Naudin, Stéphanie Bauché, Mélanie Annat, Tarmo Annilo, Rando Allikmets, Bert Gold, Patrice Denèfle, Marie Rosier, Michael Dean
{"title":"Identifying and characterizing a five-gene cluster of ATP-binding cassette transporters mapping to human chromosome 17q24: a new subgroup within the ABCA subfamily","authors":"Isabelle Arnould, Lynn M. Schriml, Catherine Prades, Marcia Lachtermacher-Triunfol, Thomas Schneider, Christelle Maintoux, Cendrine Lemoine, Delphine Debono, Catherine Devaud, Laurent Naudin, Stéphanie Bauché, Mélanie Annat, Tarmo Annilo, Rando Allikmets, Bert Gold, Patrice Denèfle, Marie Rosier, Michael Dean","doi":"10.1046/j.1466-920x.2001.00038.x","DOIUrl":"10.1046/j.1466-920x.2001.00038.x","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The ATP-binding cassette (ABC) gene superfamily encodes a series of transporter proteins that move a wide variety of substances across extra- and intracellular membranes. Forty-eight known human ABC genes can be divided into seven phylogenetically distinct subfamilies. The ABCA gene subfamily is found exclusively in multicellular eukaryotes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We report here on a unique tandem array of five ABCA genes on chromosome 17q24 defining a phylogenetically distinct group. This is the largest cluster of mammalian ABC genes described to date. They are arranged head-to-tail and have similar intron/exon organization in both mouse and human. Northern analysis reveals a heterogeneous pattern of expression in human tissues, with <i>ABCA5</i> and <i>ABCA10</i> expressed in skeletal muscle, <i>ABCA6</i> in the liver, <i>ABCA9</i> in the heart, and <i>ABCA8</i> in ovaries. This suggests that these proteins have distinct functions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"157-164"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-920x.2001.00038.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89212958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-9218.2001.00034.x
{"title":"Contamination of human genome sequence? The story of a fourth peroxisomal human acyl-CoA oxidase","authors":"","doi":"10.1046/j.1466-9218.2001.00034.x","DOIUrl":"10.1046/j.1466-9218.2001.00034.x","url":null,"abstract":"","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"175"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2001.00034.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"102897543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-9218.2001.00015.x
Carrie Fidler, Manabu Nakayama, Ethylin Wang Jabs, Jan-Fang Cheng, Amanda Strickson, Osamu Ohara, James S. Wainscoat, Jacqueline Boultwood
{"title":"Physical mapping of the MEGF1 gene, human homologue of the Drosophila tumour suppressor gene fat, to the critical region of the 5q-syndrome","authors":"Carrie Fidler, Manabu Nakayama, Ethylin Wang Jabs, Jan-Fang Cheng, Amanda Strickson, Osamu Ohara, James S. Wainscoat, Jacqueline Boultwood","doi":"10.1046/j.1466-9218.2001.00015.x","DOIUrl":"10.1046/j.1466-9218.2001.00015.x","url":null,"abstract":"<p><b>Introduction</b> The 5q-syndrome is a myelodysplastic syndrome with the 5q deletion as the sole karyotypic abnormality. The <i>MEGF1</i> gene is the human homologue of the <i>Drosophila</i><i>fat</i> tumour suppressor gene.</p><p><b>Results</b> We have mapped this gene to the 3 Mb critical region of the 5q-syndrome within 5q31–32, using gene dosage analysis. Fine physical mapping of the <i>MEGF1</i> gene within this genomic interval was then performed by screening YAC and BAC contigs spanning the critical region using PCR amplification. The <i>MEGF1</i> gene maps between the genes for <i>SPARC</i> and <i>Annexin-6</i> at 5q32, and is flanked by the genetic markers D5S2146 and D5S2077. We have demonstrated the expression of <i>MEGF1</i> in a range of haematological tissues using RT-PCR analysis.</p><p><b>Discussion</b> Genomic localization, expression and predicted function would suggest that the <i>MEGF1</i> gene represents a candidate gene for the 5q-syndrome.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"165-167"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2001.00015.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74566837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2002-01-25DOI: 10.1046/j.1466-9218.2001.00013.x
Birgitta Winnepenninckx, Edwin Reyniers, Paul Bossuyt, Arie Smits, Jan Wauters, R. Frank Kooy
{"title":"Precise mapping of the fragile site FRA12A on chromosome 12q13.1","authors":"Birgitta Winnepenninckx, Edwin Reyniers, Paul Bossuyt, Arie Smits, Jan Wauters, R. Frank Kooy","doi":"10.1046/j.1466-9218.2001.00013.x","DOIUrl":"10.1046/j.1466-9218.2001.00013.x","url":null,"abstract":"<p><b>Introduction</b> A causative relationship has been reported between fragile site expression and disease for <i>FRA12A</i>, a rare, folate-sensitive fragile site on chromosome 12q13.1. <i>FRA12A</i> expression has been described in a number of patients with mental retardation, sometimes in combination with clinical abnormalities. In correspondence to the molecular mechanism of previously cloned, rare, fragile sites, it may be expected that <i>FRA12A</i> is caused by repeat expansion, affecting the expression of genes in the region. To identify the repeat and the associated gene, this paper reports the precise mapping of <i>FRA12A</i> on chromosome 12q12–13.</p><p><b>Methods</b> Fluorescence <i>in situ</i> hybridization (FISH) techniques were used to map <i>YAC</i> and <i>PAC</i> clones in the neighbourhood of <i>FRA12A</i>. <i>PAC</i> DNA pools and <i>PAC</i> filters were screened to find additional <i>PAC</i> clones spanning the candidate region. Markers in the region were obtained via web searches and used to construct both <i>PAC</i> and <i>YAC</i> contigs.</p><p><b>Results and Discussion</b> A single <i>YAC</i> clone that overspans the fragile site was identified and a complete <i>YAC</i> and <i>PAC</i> contig for the <i>FRA12A</i> region was constructed. The region contains several candidate genes, including a calcium ion channel (<i>CACNLB3</i>), a GTP-binding factor (<i>ARF3</i>), a gene involved in brain development (<i>INT1</i>) and two other genes involved in developmental processes (<i>WNT10B</i> and <i>ALR</i>). The <i>FXR1</i> gene, a homologue of the <i>FMR1</i> gene, that is associated with fragile X syndrome and that maps to chromosome 12q12–13, was ruled out as a possible candidate gene for the <i>FRA12A</i> site.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 3","pages":"131-137"},"PeriodicalIF":0.0,"publicationDate":"2002-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2001.00013.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79095414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2001-12-25DOI: 10.1046/j.1466-9218.2000.00003.x
Alexandre Alcaïs, Laurent Abel
{"title":"Robustness of the maximum-likelihood-binomial approach for linkage analysis of quantitative trait loci with non-normal phenotypic data","authors":"Alexandre Alcaïs, Laurent Abel","doi":"10.1046/j.1466-9218.2000.00003.x","DOIUrl":"10.1046/j.1466-9218.2000.00003.x","url":null,"abstract":"<p><b>Introduction</b> Model-free linkage studies are increasingly used to investigate the genetic factors implicated in complex quantitative traits because they do not require any specification of the underlying genetic model. However, the term model-free does not imply that no assumption is introduced by the corresponding statistical methods. In particular, the widely used variance components approaches assume multivariate normality of the phenotypic distribution and it has been shown that violation of this normality hypothesis could lead to large inflation of the type I error. In this paper, we assess the robustness of the recently developed sibship-oriented Maximum-Likelihood-Binomial (MLB) method for genetic model-free linkage analysis in the context of several types of non-normal phenotypic data using a large simulation study.</p><p><b>Simulation study</b> Under the hypothesis of no linkage at the marker locus under study, 20 000 replicates of family samples including 100 or 500 independent sib-pairs were simulated considering four different designs that lead to non-normal phenotypic data: (1) presence of a major gene not linked to the studied marker, (2) gene–environment interaction, (3) analysis of a binary phenotype, and (4) extreme sampling. Further, three levels of residual sib–sib correlation were considered.</p><p><b>Results and discussion</b> For each simulation design the empirical type I errors were consistent with their asymptotic expectations showing that the MLB approach is insensitive to non-normal phenotypic distribution whatever the mechanism underlying this non-normality. Therefore, the MLB method should be an attractive alternative method for model-free linkage analysis of QTL, especially for investigators who do not want to worry about the validity of asymptotic thresholds when performing their analyses.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 1","pages":"47-50"},"PeriodicalIF":0.0,"publicationDate":"2001-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2000.00003.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84723396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GeneScreenPub Date : 2001-12-25DOI: 10.1046/j.1466-9218.2000.00007.x
Zhaoxi Wang, Tianhua Niu, K. L. Lunetta, Xin Xu, Zhian Fang, Xiping Xu
{"title":"Observation of null alleles of microsatellite markers in a Chinese population","authors":"Zhaoxi Wang, Tianhua Niu, K. L. Lunetta, Xin Xu, Zhian Fang, Xiping Xu","doi":"10.1046/j.1466-9218.2000.00007.x","DOIUrl":"10.1046/j.1466-9218.2000.00007.x","url":null,"abstract":"<p><b>Introduction </b> Genotyping of a set of microsatellite markers is often necessary to map genes for complex human diseases by linkage analysis. Presence of null alleles (such as a mutation in the primer-binding sequence) can lead to pseudo-deficiency of heterozygosity.</p><p><b>Materials and methods </b> We completed a genomic scan using 367 autosomal markers on 1477 Chinese subjects in a total of 337 nuclear families. Two markers with apparent non-Mendelian inheritance patterns were further investigated: marker <i>GGAA15B08</i> results were re-scored, and marker <i>GATA29A01</i> was re-genotyped using redesigned primers.</p><p><b>Results </b> The <i>GGAA15B08</i> marker was found to contain a relatively frequent (24.4%) 185-bp allele in the Chinese that was previously treated as a ‘null allele’. Marker <i>GATA29A01</i> contained a null allele due to a mutation within the annealing region of its reverse primer. With a pair of redesigned PCR primers, the null allele diminished. In this study, we have a power > 82% to detect null alleles of frequency 0.04 or greater.</p><p><b>Discussion </b> The presence of <i>GATA29A01</i> null alleles in this population was quite common (31.4%). Identification of markers with null alleles in our study has great implications in paternity testing, linkage analysis and forensic DNA testing. Particular care should be taken in analysing microsatellite genotype results to avoid this problem.</p>","PeriodicalId":100575,"journal":{"name":"GeneScreen","volume":"1 1","pages":"41-45"},"PeriodicalIF":0.0,"publicationDate":"2001-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1466-9218.2000.00007.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73399670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}