SCORE-Seq 7.1 – Score-Type Tests for Detecting Disease Associations With Rare Variants in Sequencing Studies

SCORE-Seq 7.1

:: DESCRIPTION

SCORE-Seq is a command-line program  for detecting disease associations with rare variants in sequencing studies. The mutation information is aggregated across multiple variant sites of a gene through a weighted linear combination and then related to disease phenotypes through appropriate regression models. The weights can be constant or dependent on allele frequencies and phenotypes. The association testing is based on score-type statistics. The allele-frequency threshold can be fixed or variable. Statistical significance can be assessed by using asymptotic normal approximation or resampling. A detailed description of the methods is given in Lin and Tang (2011). The current release covers binary and continuous traits with arbitrary covariates under case-control and cross-sectional sampling

::DEVELOPER

Danyu Lin

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 SCORE-Seq

:: MORE INFORMATION

Citation

Lin, D. Y. and Tang, Z. Z. (2011).
A General Framework for Detecting Disease Associations With Rare Variants in Sequencing Studies.
American Journal of Human Genetics, 89, 354-367.

KL-Rare – Kullback-Leibler Distance Methods for Detecting Disease Association With Rare Variants

KL-Rare

:: DESCRIPTION

KL-Rare is for performing four tests based on Kullback-Leeibler divergence to assess overall association of a group of common and rare variants with a common disease.

::DEVELOPER

Statistical Genetics and Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows /MacOs
  • R
  • MatLab

:: DOWNLOAD

KL-Rare

:: MORE INFORMATION

Citation

Ann Hum Genet, 79 (3), 199-208 May 2015
Kullback-Leibler Distance Methods for Detecting Disease Association With Rare Variants From Sequencing Data
Asuman S Turkmen 1, Zhifei Yan, Yue-Qing Hu, Shili Lin

FamLBL 1.0 – Detecting Rare Haplotype Disease Association Based on Common SNPs Using Case-Parent Triads

FamLBL 1.0

:: DESCRIPTION

famLBL (family-triad-based logistic Bayesian Lasso) is an R package for estimating effects of haplotypes on complex diseases using SNP data.

::DEVELOPER

Statistical Genetics and Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 FamLBL

:: MORE INFORMATION

Citation

Bioinformatics. 2014 May 21. pii: btu347. [Epub ahead of print]
FamLBL: Detecting Rare Haplotype Disease Association Based on Common SNPs Using Case-Parent Triads.
Wang M1, Lin S2.

MACH 1.0 – Haplotyping, Genotype Imputation & Disease Association Analysis

MACH 1.0

:: DESCRIPTION

MACH (Markov Chain Haplotyping) is a Markov Chain based haplotyper. It can resolve long haplotypes or infer missing genotypes in samples of unrelated individuals.

::DEVELOPER

Abecasis Lab

:: SCREENSHOTS

Command Line

:: REQUIREMENTS

  • Windows / Mac /  Linux

:: DOWNLOAD

MACH

:: MORE INFORMATION

Citation:

Li Y, Willer CJ, Ding J, Scheet P and Abecasis GR (2006)
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes.
Genet Epidemiol 34:816-834.

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SNPALYZE 8.0 – SNP and Disease Association Analysis Software

SNPALYZE 8.0

:: DESCRIPTION

SNPAlyze is able to import many specific types of Genotyping data files and analyze them.When case-control studies are analyzed, in addition to the columns with genotyping data, extra columns for cases and controls are necessary in order to distinguish the groups.

::DEVELOPER

Dynacom

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows
:: DOWNLOAD

  SNPALYZE

:: MORE INFORMATION

Citation

Shimo-Onoda, Tanaka, Furushima, Nakajima, Toh, Harata, Yone, Komiya, Adachi, Nakamura, Fujimiya, Inoue(2002),
Akaike’s information criterion for a measure of linkage disequilibrium“,
J Hum Genet, 47(12): 649-655

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