Login to MyKarger

New to MyKarger? Click here to sign up.

Login with Facebook

Forgot your password?

Authors, Editors, Reviewers

For Manuscript Submission, Check or Review Login please go to Submission Websites List.

Submission Websites List

Institutional Login
(Shibboleth or Open Athens)

For the academic login, please select your country in the dropdown list. You will be redirected to verify your credentials.

Open Access Gateway

KELVIN: A Software Package for Rigorous Measurement of Statistical Evidence in Human Genetics

Vieland V.J.a, b · Huang Y.a · Seok S.-C.a · Burian J.a · Catalyurek U.c · O’Connell J.d · Segre A.e · Valentine-Cooper W.a

Author affiliations

aBattelle Center for Mathematical Medicine, Research Institute at Nationwide Children’s Hospital, and Departments of bPediatrics and Statistics, and cBiomedical Informatics, Ohio State University, Columbus, Ohio, dDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Md., and eDepartment of Computer Science, University of Iowa, Iowa City, Iowa, USA

Corresponding Author

Veronica J. Vieland, PhD

Research Institute at Nationwide Children’s Hospital

700 Children’s Drive

Columbus, OH 43205 (USA)

Tel. +1 614 355 2861, E-Mail Veronica.Vieland@nationwidechildrens.org

Related Articles for ""

Hum Hered 2011;72:276–288

Do you have an account?

Login Information

Contact Information

I have read the Karger Terms and Conditions and agree.


This paper describes the software package KELVIN, which supports the PPL (posterior probability of linkage) framework for the measurement of statistical evidence in human (or more generally, diploid) genetic studies. In terms of scope, KELVIN supports two-point (trait-marker or marker-marker) and multipoint linkage analysis, based on either sex-averaged or sex-specific genetic maps, with an option to allow for imprinting; trait-marker linkage disequilibrium (LD), or association analysis, in case-control data, trio data, and/or multiplex family data, with options for joint linkage and trait-marker LD or conditional LD given linkage; dichotomous trait, quantitative trait and quantitative trait threshold models; and certain types of gene-gene interactions and covariate effects. Features and data (pedigree) structures can be freely mixed and matched within analyses. The statistical framework is specifically tailored to accumulate evidence in a mathematically rigorous way across multiple data sets or data subsets while allowing for multiple sources of heterogeneity, and KELVIN itself utilizes sophisticated software engineering to provide a powerful and robust platform for studying the genetics of complex disorders.

© 2011 S. Karger AG, Basel

Article / Publication Details

First-Page Preview
Abstract of Paper

Published online: December 23, 2011
Issue release date: December 2011

Number of Print Pages: 13
Number of Figures: 6
Number of Tables: 0

ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)

For additional information: http://www.karger.com/HHE

Open Access License / Drug Dosage / Disclaimer

Open Access License: This is an Open Access article licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported license (CC BY-NC) (www.karger.com/OA-license), applicable to the online version of the article only. Distribution permitted for non-commercial purposes only.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.