- 作者: Chen-Pang Lin; Cathy SJ Fann
- 作者服務機構: Institute of Public Health, National Yang-Ming University, Taipei, Taiwan, R.O.C.
- 中文摘要: --
- 英文摘要:
Background
In many studies, researchers may recruit samples consisting of independent trios
and unrelated individuals. However, most of the currently available haplotype
inference methods do not cope well with these kinds of mixed data sets.
Methods
We propose a general and simple methodology using a mixture of weighted
multinomial (MIXMUL) approach that combines separate haplotype information from
unrelated individuals and independent trios for haplotype inference to the individual
level.
Results
The new MIXMUL procedure improves over existing methods in that it can
accurately estimate haplotype frequencies from mixed data sets and output probable
haplotype pairs in optimized reconstruction outcomes for all subjects that have
contributed to estimation. Simulation results showed that this new MIXMUL
procedure competes well with the EM-based method, i.e. FAMHAP, under a few
assumed scenarios.
Conclusions
The results showed that MIXMUL can provide accurate estimates similar tothose haplotype frequencies obtained from FAMHAP and output the probable
haplotype pairs in the most optimal reconstruction outcome for all subjects that have
contributed to estimation. If available data consist of combinations of unrelated
individuals and independent trios, the MIXMUL procedure can be used to estimate
the haplotype frequencies accurately and output the most likely reconstructed
haplotype pairs of each subject in the estimation. - 中文關鍵字: --
- 英文關鍵字: --