Research Collaboration

Collaboration in the Research Process

The Division of Hereditary Genomics provides a service to assist in the design and preliminary analysis of collaborative research projects focusing on the identification of genetic variants associated with complex disease. The services are provided in the following four categories:

Development of Project Design

The Division of Hereditary Genomics assists in the design of a research project intended to identify genes contributing to the risk of disease. This would include consultation to determine the type of subjects to recruit, the types of samples to obtain and their storage and processing, assistance in the design of relevant study instruments, particularly with regard to the collection of family history information, and the types of statistical analyses that can be performed to analyze the collected data.The outcome of the services usually results in a grant proposal or a paper publication.

Preparation of a Grant proposal

The preparation of a grant proposal is one of the important services that the Division of Hereditary Genomics provides. Once a researcher develops the specific aims and research design and methods sections, investigators from the division provide assistance preparing the preliminary results, sample size justification, power calculation and overall statistical analysis plans.

Data management methods

1. Data management: Often a researcher needs a comprehensive data management plan for his/her research or a grant proposal. The data management includes how the data will be collected, stored, manipulated and processed for the statistical analysis. The division has established the entire process from the data entry to quality control procedures.

2. Database service: The division has its own independently maintained LINUX and Windows servers for data storage and analysis.

Statistical Analysis

1. Linkage study: For disorders with a clear inheritance pattern, the most powerful design to identify the causative gene is linkage analysis. The division can assist in reviewing existing pedigrees or developing tools to collect family history information. The division will assist in prioritizing individuals who should be sampled within the family. Power calculations can be generated for a grant application and the division will also the statistical methods required to perform linkage analysis. The division will perform linkage analysis, generate relevant graphics and prepare portions of grants/manuscripts with these results.

2. Association study: A typical candidate gene association study will test the role of a gene(s) in disease susceptibility or as a contributor to the phenotypic variability in the trait. The division can provide consultation to identify the most powerful study design to test for association, provide powerful calculations for a grant application or manuscript and statistical methods to perform both case control and family based association analysis.

3. Genome-wide Association study (GWAS): A genome-wide association study will test the role of genes at the whole genome-wide level without assumption of the prior information of biological knowledge of disease. The division can help consult and develop the GWAS and write a grant application in a research perspective.


Fees are charged to support personnel and cover other expenses needed to maintain the Division at a level required to carry out its mission. The fee schedule includes all expenses related to Division personnel and enables them to perform their duties related to the research project. These include use of the Division's computing facilities, systems support, software, administrative support, professional travel, supplies, and telephone. These rates are based on actual costs to the Division of Hereditary genomics. Rates for research projects outside of Indiana University contain an additional component to help support the educational and service missions of the Division.


IU Rate/hour

Outside Rate/hour*

Ph.D. Faculty



M.S. Statistician



Data Manager /
Application Developer



Database Technician



Data Manager Assistant



Data Entry




Collaborative Agreement Form

 Microsoft Word Format

Contact Information

Dongbing Lai, Ph.D.
Phone:  317-278-9544

Tae-Hwi Linus Schwantes-An, Ph.D.
Phone:  317-274-2240

975 West Walnut Street | Medical Research and Library Building, IB 130 | Indianapolis, IN 46202 | (317) 944-3966