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http://aspex.sourceforge.net/

A set of programs for performing multipoint exclusion mapping of affected sibling pair data for discrete traits. (entry from Genetic Analysis Software)

Proper citation: ASPEX (RRID:SCR_008414) Copy   

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http://mlemire.freeshell.org/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Software application with implementation of the Sad statistic, more robust to transmission ratio distortion in the context of allele sharing (entry from Genetic Analysis Software)

Proper citation: GENEHUNTER++SAD (RRID:SCR_008777) Copy   

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http://ki.se/sites/default/files/str_artikel_tchad.pdf

Data and biomaterial from a longitudinal study of 1,500 Swedish twin pairs from age 8 to age 20. Twins, parents, and teachers responded to 4 waves of questionnaires (1994, 1999, 2002, 2006) and a clinical interview. In the last follow up (2006) 1325 biological samples for DNA-extraction were collected. A paper that describes the study was published (Lichtenstein, Tuvblad, Larsson, Carlstrom, 2007, Twin Research and Human Genetics). Twins were followed prospectively from childhood to emerging adulthood. The data include a broad spectrum of measures of environments as well as internalizing and externalizing problems behaviors from different informants (twins, parents, teachers, clinical assessments).

Proper citation: Twin Study of Child and Adolescent Development - TCHAD (RRID:SCR_008897) 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://pbil.univ-lyon1.fr/software/mareymap/

Software application that is a meiotic recombination rate estimation program. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MAREYMAP (RRID:SCR_009066) Copy   

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http://associationviewer.vital-it.ch/

A Java application used to display SNPs in a genetic context. Supplementary data (such as genes or LD plots) is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks. (entry from Genetic Analysis Software)

Proper citation: ASSOCIATIONVIEWER (RRID:SCR_009063) Copy   

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

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application that uses multilocus genotypic data to allocate individuals to their most likely source population.

Proper citation: WHICHRUN (RRID:SCR_009064) Copy   

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http://www.mapmanager.org/mmQTX.html

A graphic, interactive program to map quantitative trait loci using intercrosses, backcrosses or recombinant inbred strains in experimental plants or animals. A completely rewritten cross-platform version of Map Manager QT with enhanced analysis functions. (entry from Genetic Analysis Software)

Proper citation: MAP MANAGER QTX (RRID:SCR_009061) Copy   

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

Software tool for construction of genetic linkage maps and analyzing Mendelian phenotypes. (entry from Genetic Analysis Software)

Proper citation: G-MENDEL (RRID:SCR_009062) 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   

•   Source: SciCrunch Registry

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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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://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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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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http://www.epigenetic.org/Linkage/act.html,

Software application that contains the following modules: ibd, calculates the proportion of gene shared identical by decent for a nuclear family; ibdn, (modified program of ERPA), which implements a method for assessing increased-allele sharing between all pairs of affected relatives within a pedigree; multic, multivariate analysis for complex traits; ml, estimation of variance components using maximum likelihood; ql, estimation of variance components using quasi likelihood; relcov, generates first degree relationship coefficients for extended families; sim2s, the simulation program that was used to test ACT; cage, Cohort Analysis for Genetic Epidemiology; gh: GeneHunter, heavily modified to assist multipoint calculation using multic; TDT: TDT programs written in SAS; gcc and f77 compilers are necessary. Executable programs are included for compatible operating systems, i.e., Solaris2.6. (entry from Genetic Analysis Software)

Proper citation: ACT (RRID:SCR_009033) Copy   

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http://www-gene.cimr.cam.ac.uk/clayton/software/

Software program for estimating frequencies of haplotypes of large numbers of diallelic markers from unphased genotype data from unrelated subjects (entry from Genetic Analysis Software)

Proper citation: SNPHAP (RRID:SCR_008456) Copy   

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http://cmpg.unibe.ch/software/simcoal/

Software application (entry from Genetic Analysis Software)

Proper citation: SIMCOAL (RRID:SCR_008450) Copy   

•   Source: SciCrunch Registry