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http://www.hgu.mrc.ac.uk/Softdata/ALP/

Microsoft Windows application designed to analyze microsatellite DNA fragments separated on an Automated Laser Fluorescence sequencer. (entry from Genetic Analysis Software)

Proper citation: ALP (RRID:SCR_009118) Copy   

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http://www.stat.uchicago.edu/~wen/tuna/

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 22, 2016. Free software package for estimating allele frequencies for all the SNPs available in a population reference panel (e.g. HapMap data base) based on genotype data from a subset of markers (e.g. the Illumina HumanHap300 BeadChip SNP set) in a group of subjects (e.g. the cases in a case-control sample)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TUNA (RRID:SCR_009112) Copy   

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http://www.nia.nih.gov/research/intramural-research-program/dynamics-health-aging-and-body-composition-health-abc

A study that characterizes the extent of change in body composition in older men and women, identifies clinical conditions accelerating these changes, and examines the health impact of these changes on strength, endurance, disability, and weight-related diseases of old age. The study population consists of 3,075 persons age 70-79 at baseline with about equal numbers of men and women. Thirty-three percent of the men are African-Americans as are 46% of the women. All persons in the study were selected to be free of disability in activities of daily living and free of functional limitation (defined as any difficulty walking a quarter of a mile or any difficulty walking up 10 steps without resting) at baseline. The core yearly examination for HEALTH ABC includes measurement of body composition by dual energy x-ray absorptio��������metry (DXA), walking ability, strength, an interview that includes self-report of limitations, a medication survey, and weight (Measurements in the Health ABC Study). Provision has been made for banking of blood specimens and extracted DNA (HealthABC repository). Study investigators are open to collaboration especially for measures focused on obesity and associated weight-related health conditions including osteoporosis, osteoarthritis, pulmonary function, cardiovascular disease, vascular disease, diabetes and glucose intolerance, and depression. The principal goals of the HEALTH ABC are: # To assess the association of baseline body weight, lean body mass, body fat, and bone mineral content, in relation to weight history, with: incident functional limitation; incidence and change in severity of weight-related health conditions; recovery of physical function after an acute event; baseline measures of strength, fitness and physical performance; gender, ethnicity and socioeconomic status # To access the contribution of episodes of severe acute illness in healthier older persons to changes in body weight, bone mineral content, lean body mass and body fat, and the relationship of these episodes to risk of functional limitation and recovery. # To assess the impact of weight-related co-morbid illness on the risk of functional limitation and recovery. # To assess the ways in which physiologic mediators of change in body composition influence and are influenced by changes in health in older adults and contribute to change in body composition; to understand how changes in body composition affect weight-related cardiovascular disease risk factors such as lipids, blood pressure and glucose tolerance. # To assess the interdependency of behavioral factors, such as nutrition and physical activity, co-morbid health conditions, and their association with change in body composition in old age. # To provide a firm scientific basis for understanding issues related to weight recommendations in old age through increased knowledge of the potential trade-offs between weight and risk of functional limitation, disability, morbidity and death; to provide information critical for developing effective strategies for the maintenance of health in older persons.

Proper citation: Dynamics of Health Aging and Body Composition (Health ABC) (RRID:SCR_008813) Copy   

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http://www.helmholtz-muenchen.de/en/ige/service/software-download/genehunter-imprinting/index.html#c63682

Resource no longer in service. Documented on February 23,2021.Software tool as modification of GENEHUNTER software package . Allows for parametric multi-marker linkage analysis of dichotomous traits caused by imprinted genes. By specification of two heterozygote penetrance parameters, paternal and maternal origin of the disease allele can be treated differently in terms of probability of expression of the trait.

Proper citation: genehunter-imprinting (RRID:SCR_009104) Copy   

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http://hrsonline.isr.umich.edu/

A data set of a longitudinal panel study of health, retirement, and aging that surveys a representative sample of more than 26,000 Americans over the age of 50 every two years. The HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study captures a dynamic picture of an aging America''s physical and mental health, insurance coverage, financial status, family support systems, labor market status, and retirement planning. The sample in 2006 numbered over 22,000 persons in 13,100 households, with oversamples of Hispanics, Blacks and Florida residents. Beginning in 2006, half the sample received enhanced face-to-face follow-ups that included the collection of physical measures and biomarkers HRS provides a research data base that can simultaneously support continuous cross-sectional descriptions of the US population over the age of fifty-five, longitudinal studies of a given cohort over a substantial period of time (up to 18 years by 2010 for the original HRS cohort, following them from age 51-61 to age 69-79) and research on cross-cohort trends. By 2010 the HRS will be able to support cross-cohort comparisons of trajectories of health, labor supply, or wealth accumulation for persons who entered their 50s in 1992, 1998 and 2004. The HRS also has provided the sampling frame for targeted sub-studies. The Aging, Demographics, and Memory Study (ADAMS) supplement on dementia involved a field assessment of a sample of about 930 HRS panel members aged 75+ to clinically assess their dementia status and dementia severity. Special topics including consumption and time use, prescription drug use and the impact of Medicare Part D, parents'' human capital investments in children, and diabetes management by self-reported diabetics, have appeared on mail surveys that have used the HRS as a sampling frame. The HRS also can accommodate a number of experimental topics using Internet interviewing. The HRS is also characterized by links to a rich array of administrative data, including: Employer Pension Plans; National Death Index; Social Security Administration earnings and (projected) benefits data; W-2 self-employment data; and Medicare and Medicaid files. The HRS has actively collaborated with other longitudinal studies of aging in other countries (e.g., ELSA, SHARE, MHAS), providing both scientific and technical assistance. Data Availability: All publicly available data may be downloaded after registration. Early Release data files are typically available within three months of the end of each data collection, with the Final Release following at 24 months after the close of data collection activities. Files linked with administrative data are released only as restricted data through an application process, as outlined on the HRS website. * Dates of Study: 1992-present * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures, Biospecimens * Sample Size: 22,000+ Link * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06854

Proper citation: Health and Retirement Study (RRID:SCR_008930) Copy   

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http://www.cristudy.org/Chronic-Kidney-Disease/Chronic-Renal-Insufficiency-Cohort-Study/

A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes.

Proper citation: Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) Copy   

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http://fmph.ucsd.edu/faculty/cberry/bqtl/

Software application for the mapping of genetic traits from line crosses and recombinant inbred lines. It performs (1) maximum likelihood estimation of multi-gene models; (2) Bayesian estimation of multi-gene models via Laplace Approximations; and (3) interval mapping and composite interval mapping of genetic loci (entry from Genetic Analysis Software)

Proper citation: BQTL (RRID:SCR_009137) Copy   

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http://gaow.github.io/genetic-analysis-software/d-1.html#dnabaser

Software tool for manual and automatic DNA sequence assembly, DNA sequence analysis, automatic sample processing, contig editing, metadata integration, file format conversion and mutation detection. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DNABASER (RRID:SCR_009138) Copy   

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http://wwwcsif.cs.ucdavis.edu/~gusfield/bpph.html

Software application for inferring haplotypes from genotypes to determine if there are resulting haplotypes that fit a tree model (i.e. a perfect phylogeny, a coalescent). In population genetic terms, BPPH determines whether a set of SNP genotypes can be explained by haplotype pairs that could have evolved on a coalescent under the no-recombination, infinite sites model. (entry from Genetic Analysis Software)

Proper citation: BPPH (RRID:SCR_009136) Copy   

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http://www.cs.auc.dk/~claus/block.html

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application that performs general pedigree analysis on a general pedigree with any number of loops. It also allows users to perform two-point linkage analysis on a general pedigree with an arbitrary number of alleles., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BLOCK (RRID:SCR_009133) Copy   

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http://www.people.fas.harvard.edu/~junliu/index1.html

Software application (entry from Genetic Analysis Software)

Proper citation: BLADE (RRID:SCR_009132) Copy   

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http://gaow.github.io/genetic-analysis-software/t-1.html#tlinkage

Software programs that are extensions of the LINKAGE programs that allow the disease phenotype to be under the control of disease two loci. (entry from Genetic Analysis Software)

Proper citation: TLINKAGE (RRID:SCR_008838) Copy   

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http://www.centreducancer.be/en/show/index/section/8/page/34

When a patient suffering or thought to be suffering from cancer is cared for, samples are often taken to determine the precise diagnosis and to determine any treatment necessary. After this essential stage of the patient''s care, unused biological material is sometimes left over. This material is an essential and precious tool for research into cancer. For this reason, patients can decide to make the material available to researchers the world over who study either the development mechanism of cancer or the new treatments available. Residual samples are centralized and stored in the Tumor Bank at the Cliniques Universitaires Saint-Luc Cancer Centre. The research carried out on this material primarily benefits cancer patients. It can help improve existing treatments or discover new drugs, and also allows new diagnostic tools to be tested. Any financial profits obtained from assessing the results obtained are entirely reinvested in the work of the Cancer Centre''s Tumour Bank and in new research projects at the Catholic University of Louvain. Using and sharing material, and verification and retrospective analysis of clinical data, all comply with strict rules. As with donations of blood, marrow or organs, an Ethics Committee oversees the operations of the Tumour Bank and research projects. This committee is responsible for ensuring compliance with current Belgian and legal texts, especially those concerning the protection of patient privacy and rights.

Proper citation: Saint-Luc Tumour Bank (RRID:SCR_008714) Copy   

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https://github.com/genomizer/genomizer.github.io

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. A platform independent Java program for the analysis of genome wide association experiments. (entry from Genetic Analysis Software).

Proper citation: GENOMIZER (RRID:SCR_009127) Copy   

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http://research.nhgri.nih.gov/software/TRAP/

Software tool for determining a regression model of quantitative or binary trait variation when the number of possible genetic predictors is very large, considering only a moderate number of predictors at one time, using unrelated or family data. (entry from Genetic Analysis Software)

Proper citation: TRAP (RRID:SCR_009002) Copy   

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http://www.helsinki.fi/~tsjuntun/linkage/analyze/

A set of useful accessory programs to the LINKAGE package. It simplifies the performance of a large array of parametric and nonparametric tests for linkage and association on data entered in LINKAGE format pedigree and parameter files. (entry from Genetic Analysis Software)

Proper citation: ANALYZE (RRID:SCR_009120) Copy   

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http://ki.se/en/research/spotlight-on-parkinsons-disease

The primary purpose is to assess the importance of environmental factors for Parkinson's Disease (PD) in a population-based sample of Swedish twins. In PD discordant twin pairs, what are the environmental factors that contribute to the disease in the affected twin and or protect the unaffected twin? Second, we want to investigate whether the earlier reports of low heritability for elderly male twins can be confirmed for female pairs. All twins 55 years of age and older in the Swedish Twin Registry have been screened for most complex diseases. 626 twins have screened positive for PD and most pairs are discordant. To establish diagnosis, a physician will examine all potential cases and their co-twins and their medical records will be reviewed. Environmental factors will be studied through the use of discordant pairs, where genetic susceptibility to the disease can be controlled. Environmental exposures are being secured with telephone interviews and from a questionnaire collected 30 years ago. Recent results indicate that genetic factors play a very small role. A better understanding of the etiology of PD is important for the possibility of delaying onset or even preventing the disease, as well as for providing guidance for molecular biology studies. Types of samples * DNA Number of sample donors: 333 (sample collection completed)

Proper citation: KI Biobank - Parkinson (RRID:SCR_008866) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/2SNP.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. An algorithm resource for scalable phasing method for trios and unrelated individuals.

Proper citation: 2SNP (RRID:SCR_009038) Copy   

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https://github.com/gaow/genetic-analysis-software/blob/master/pages/AGEINF.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application used to infer the age of a rare, selectively-neutral mutation.

Proper citation: AGEINF (RRID:SCR_009039) Copy   

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http://www.stat.washington.edu/thompson/Genepi/Albert/albert.shtml

Software application that estimates genotype relative risks, genotyping error rates and population risk allele frequencies from marker genotype data in case-parent trios. ALBERT uses the distribution of trio marker genotypes to compute maximum likelihood estimates for the parameters. (entry from Genetic Analysis Software)

Proper citation: ALBERT (RRID:SCR_009037) Copy   

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