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Dive into the research topics where Alan F. Scott is active.

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Featured researches published by Alan F. Scott.


Nucleic Acids Research | 2002

Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

Ada Hamosh; Alan F. Scott; Joanna S. Amberger; Carol A. Bocchini; Victor A. McKusick

Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative and timely knowledgebase of human genes and genetic disorders compiled to support research and education in human genomics and the practice of clinical genetics. Started by Dr Victor A. McKusick as the definitive reference Mendelian Inheritance in Man, OMIM (www.ncbi.nlm.nih.gov/omim) is now distributed electronically by the National Center for Biotechnology Information (NCBI), where it is integrated with the Entrez suite of databases. Derived from the biomedical literature, OMIM is written and edited at Johns Hopkins University with input from scientists and physicians around the world. Each OMIM entry has a full-text summary of a genetically determined phenotype and/or gene and has numerous links to other genetic databases such as DNA and protein sequence, PubMed references, general and locus-specific mutation databases, approved gene nomenclature, and the highly detailed mapviewer, as well as patient support groups and many others. OMIM is an easy and straightforward portal to the burgeoning information in human genetics.


Nature Methods | 2005

Multiple-laboratory comparison of microarray platforms

Rafael A. Irizarry; Daniel S. Warren; Forrest Spencer; Irene F. Kim; Shyam Biswal; Bryan Frank; Edward Gabrielson; Joe G. N. Garcia; Joel Geoghegan; Gregory G. Germino; Constance A. Griffin; Sara Hilmer; Eric P. Hoffman; Anne E. Jedlicka; Ernest S. Kawasaki; Francisco Martinez-Murillo; Laura A. Morsberger; Hannah Lee; David Petersen; John Quackenbush; Alan F. Scott; Michael Wilson; Yanqin Yang; Shui Qing Ye; Wayne Yu

Microarray technology is a powerful tool for measuring RNA expression for thousands of genes at once. Various studies have been published comparing competing platforms with mixed results: some find agreement, others do not. As the number of researchers starting to use microarrays and the number of cross-platform meta-analysis studies rapidly increases, appropriate platform assessments become more important. Here we present results from a comparison study that offers important improvements over those previously described in the literature. In particular, we noticed that none of the previously published papers consider differences between labs. For this study, a consortium of ten laboratories from the Washington, DC–Baltimore, USA, area was formed to compare data obtained from three widely used platforms using identical RNA samples. We used appropriate statistical analysis to demonstrate that there are relatively large differences in data obtained in labs using the same platform, but that the results from the best-performing labs agree rather well.


Human Mutation | 2000

Online Mendelian Inheritance In Man (OMIM)

Ada Hamosh; Alan F. Scott; Joanna S. Amberger; David Valle; Victor A. McKusick

Online Mendelian Inheritance In Man (OMIM) is a public database of bibliographic information about human genes and genetic disorders. Begun by Dr. Victor McKusick as the authoritative reference Mendelian Inheritance in Man, it is now distributed electronically by the National Center for Biotechnology Information (NCBI). Material in OMIM is derived from the biomedical literature and is written by Dr. McKusick and his colleagues at Johns Hopkins University and elsewhere. Each OMIM entry has a full text summary of a genetic phenotype and/or gene and has copious links to other genetic resources such as DNA and protein sequence, PubMed references, mutation databases, approved gene nomenclature, and more. In addition, NCBIs neighboring feature allows users to identify related articles from PubMed selected on the basis of key words in the OMIM entry. Through its many features, OMIM is increasingly becoming a major gateway for clinicians, students, and basic researchers to the ever‐growing literature and resources of human genetics. Hum Mutat 15:57–61, 2000.


Nucleic Acids Research | 2009

McKusick's Online Mendelian Inheritance in Man (OMIM®)

Joanna S. Amberger; Carol A. Bocchini; Alan F. Scott; Ada Hamosh

McKusicks Online Mendelian Inheritance in Man (OMIM®; http://www.ncbi.nlm.nih.gov/omim), a knowledgebase of human genes and phenotypes, was originally published as a book, Mendelian Inheritance in Man, in 1966. The content of OMIM is derived exclusively from the published biomedical literature and is updated daily. It currently contains 18 961 full-text entries describing phenotypes and genes. To date, 2239 genes have mutations causing disease, and 3770 diseases have a molecular basis. Approximately 70 new entries are added and 700 entries are updated per month. OMIM® is expanding content and organization in response to shifting biological paradigms and advancing biotechnology.


Nucleic Acids Research | 2015

OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders

Joanna S. Amberger; Carol A. Bocchini; François Schiettecatte; Alan F. Scott; Ada Hamosh

Online Mendelian Inheritance in Man, OMIM®, is a comprehensive, authoritative and timely research resource of curated descriptions of human genes and phenotypes and the relationships between them. The new official website for OMIM, OMIM.org (http://omim.org), was launched in January 2011. OMIM is based on the published peer-reviewed biomedical literature and is used by overlapping and diverse communities of clinicians, molecular biologists and genome scientists, as well as by students and teachers of these disciplines. Genes and phenotypes are described in separate entries and are given unique, stable six-digit identifiers (MIM numbers). OMIM entries have a structured free-text format that provides the flexibility necessary to describe the complex and nuanced relationships between genes and genetic phenotypes in an efficient manner. OMIM also has a derivative table of genes and genetic phenotypes, the Morbid Map. OMIM.org has enhanced search capabilities such as genome coordinate searching and thesaurus-enhanced search term options. Phenotypic series have been created to facilitate viewing genetic heterogeneity of phenotypes. Clinical synopsis features are enhanced with UMLS, Human Phenotype Ontology and Elements of Morphology terms and image links. All OMIM data are available for FTP download and through an API. MIMmatch is a novel outreach feature to disseminate updates and encourage collaboration.


Nature Genetics | 2010

A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4

Terri H. Beaty; Jeffrey C. Murray; Mary L. Marazita; Ronald G. Munger; Ingo Ruczinski; Jacqueline B. Hetmanski; Kung Yee Liang; Tao Wu; Tanda Murray; M. Daniele Fallin; Richard Redett; Gerald V. Raymond; Holger Schwender; Sheng Chih Jin; Margaret E. Cooper; Martine Dunnwald; Maria Adela Mansilla; Elizabeth J. Leslie; Stephen Bullard; Andrew C. Lidral; Lina M. Moreno; Renato Menezes; Alexandre R. Vieira; Aline Petrin; Allen J. Wilcox; Rolv T. Lie; Ethylin Wang Jabs; Yah Huei Wu-Chou; Philip Kuo-Ting Chen; Hong Wang

Case-parent trios were used in a genome-wide association study of cleft lip with and without cleft palate. SNPs near two genes not previously associated with cleft lip with and without cleft palate (MAFB, most significant SNP rs13041247, with odds ratio (OR) per minor allele = 0.704, 95% CI 0.635–0.778, P = 1.44 × 10−11; and ABCA4, most significant SNP rs560426, with OR = 1.432, 95% CI 1.292–1.587, P = 5.01 × 10−12) and two previously identified regions (at chromosome 8q24 and IRF6) attained genome-wide significance. Stratifying trios into European and Asian ancestry groups revealed differences in statistical significance, although estimated effect sizes remained similar. Replication studies from several populations showed confirming evidence, with families of European ancestry giving stronger evidence for markers in 8q24, whereas Asian families showed stronger evidence for association with MAFB and ABCA4. Expression studies support a role for MAFB in palatal development.


Nature Genetics | 2012

Detectable clonal mosaicism from birth to old age and its relationship to cancer

Cathy C. Laurie; Cecelia A. Laurie; Kenneth Rice; Kimberly F. Doheny; Leila R. Zelnick; Caitlin P. McHugh; Hua Ling; Kurt N. Hetrick; Elizabeth W. Pugh; Christopher I. Amos; Qingyi Wei; Li-E Wang; Jeffrey E. Lee; Kathleen C. Barnes; Nadia N. Hansel; Rasika A. Mathias; Denise Daley; Terri H. Beaty; Alan F. Scott; Ingo Ruczinski; Rob Scharpf; Laura J. Bierut; Sarah M. Hartz; Maria Teresa Landi; Neal D. Freedman; Lynn R. Goldin; David Ginsburg; Jun-Jun Li; Karl C. Desch; Sara S. Strom

We detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5–10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2–3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6–18).


Genomics | 1987

Origin of the human L1 elements: proposed progenitor genes deduced from a consensus DNA sequence.

Alan F. Scott; Barbara J. Schmeckpeper; Mona Abdelrazik; Catherine Theisen Comey; Bruce F. O'Hara; Judith Pratt Rossiter; Tim Cooley; Peter Heath; Kirby D. Smith; Louise Margolet

Abstract A consensus sequence for the human long interspersed repeated DNA element, L1H8 (LINE or KpnI sequence), is presented. The sequence contains two open reading frames (ORFs) which are homologous to ORFs in corresponding regions of L1 elements in other species. The L1H8 ORFs are separated by a small evolutionarily nonconserved region. The 5′ end of the consensus contains frequent terminators in all three reading frames and has a relatively high GC content with numerous stretches of weak homology with AluI repeats. The 5′ ORF extends for a minimum of 723 bp (241 codons). The 3′ ORF is 3843 bp (1281 codons) and predicts a protein of 149 kD which has regions of weak homology to the polymerase domain of various reverse transcriptases. The 3′ end of the consensus has a 208-bp nonconserved region followed by an adenine-rich end. The organization of the L1H8 consensus sequence resembles the structure of eukaryotic mRNAs except for the noncoding region between ORFs. However, due to base substitutions or truncation most elements appear incapable of producing mRNA that can be translated. Our observation that individual elements cluster into subfamilies on the basis of the presence or absence of blocks of sequence, or by the linkage of alternative bases at multiple positions, suggests that most L1 sequences were derived from a small number of structural genes. An estimate of the mammalian L1 substitution rate was derived and used to predict the age of individual human elements. From this it follows that the majority of human L1 sequences have been generated within the last 30 million years. The human elements studied here differ from each other, yet overall the L1H8 sequences demonstrate a pattern of species-specificity when compared to the L1 families of other mammals. Possible mechanisms that may account for the origin and evolution of the L1 family are discussed. These include pseudogene formation (retroposition), transposition, gene conversion, and RNA recombination.


American Journal of Human Genetics | 2015

The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities

Jessica X. Chong; Kati J. Buckingham; Shalini N. Jhangiani; Corinne D. Boehm; Nara Sobreira; Joshua D. Smith; Tanya M. Harrell; Margaret J. McMillin; Wojciech Wiszniewski; Tomasz Gambin; Zeynep Coban Akdemir; Kimberly F. Doheny; Alan F. Scott; Dimitri Avramopoulos; Aravinda Chakravarti; Julie Hoover-Fong; Debra J. H. Mathews; P. Dane Witmer; Hua Ling; Kurt N. Hetrick; Lee Watkins; Karynne E. Patterson; Frederic Reinier; Elizabeth Blue; Donna M. Muzny; Martin Kircher; Kaya Bilguvar; Francesc López-Giráldez; V. Reid Sutton; Holly K. Tabor

Discovering the genetic basis of a Mendelian phenotype establishes a causal link between genotype and phenotype, making possible carrier and population screening and direct diagnosis. Such discoveries also contribute to our knowledge of gene function, gene regulation, development, and biological mechanisms that can be used for developing new therapeutics. As of February 2015, 2,937 genes underlying 4,163 Mendelian phenotypes have been discovered, but the genes underlying ∼50% (i.e., 3,152) of all known Mendelian phenotypes are still unknown, and many more Mendelian conditions have yet to be recognized. This is a formidable gap in biomedical knowledge. Accordingly, in December 2011, the NIH established the Centers for Mendelian Genomics (CMGs) to provide the collaborative framework and infrastructure necessary for undertaking large-scale whole-exome sequencing and discovery of the genetic variants responsible for Mendelian phenotypes. In partnership with 529 investigators from 261 institutions in 36 countries, the CMGs assessed 18,863 samples from 8,838 families representing 579 known and 470 novel Mendelian phenotypes as of January 2015. This collaborative effort has identified 956 genes, including 375 not previously associated with human health, that underlie a Mendelian phenotype. These results provide insight into study design and analytical strategies, identify novel mechanisms of disease, and reveal the extensive clinical variability of Mendelian phenotypes. Discovering the gene underlying every Mendelian phenotype will require tackling challenges such as worldwide ascertainment and phenotypic characterization of families affected by Mendelian conditions, improvement in sequencing and analytical techniques, and pervasive sharing of phenotypic and genomic data among researchers, clinicians, and families.


Nature Genetics | 2012

Genome-wide meta-analyses of nonsyndromic cleft lip with or without cleft palate identify six new risk loci

Kerstin U. Ludwig; Elisabeth Mangold; Stefan Herms; Stefanie Nowak; Heiko Reutter; Anna Paul; Jessica Becker; Ruth Herberz; Taofik AlChawa; Entessar Nasser; Anne C. Böhmer; Manuel Mattheisen; Margrieta Alblas; Sandra Barth; Nadine Kluck; Carola Lauster; Bert Braumann; Rudolf H. Reich; Alexander Hemprich; Simone Pötzsch; Bettina Blaumeiser; Nikolaos Daratsianos; Thomas Kreusch; Jeffrey C. Murray; Mary L. Marazita; Ingo Ruczinski; Alan F. Scott; Terri H. Beaty; Franz Josef Kramer; Thomas F. Wienker

We have conducted the first meta-analyses for nonsyndromic cleft lip with or without cleft palate (NSCL/P) using data from the two largest genome-wide association studies published to date. We confirmed associations with all previously identified loci and identified six additional susceptibility regions (1p36, 2p21, 3p11.1, 8q21.3, 13q31.1 and 15q22). Analysis of phenotypic variability identified the first specific genetic risk factor for NSCLP (nonsyndromic cleft lip plus palate) (rs8001641; PNSCLP = 6.51 × 10−11; homozygote relative risk = 2.41, 95% confidence interval (CI) 1.84–3.16).

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Terri H. Beaty

Johns Hopkins University

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Ingo Ruczinski

Johns Hopkins University

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Ethylin Wang Jabs

Icahn School of Medicine at Mount Sinai

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Vincent Yeow

Boston Children's Hospital

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Philip Kuo-Ting Chen

Memorial Hospital of South Bend

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Samuel S. Chong

National University of Singapore

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