2009 article

Measuring and partitioning the high-order linkage disequilibrium by multiple order Markov chains (vol 32, pg 301, 2008)

Genetic Epidemiology, Vol. 33, pp. 181–181.

By: Y. Kim, S. Feng & Z. Zeng

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

Measuring and partitioning the high-order linkage disequilibrium by multiple order Markov chains

GENETIC EPIDEMIOLOGY, 32(4), 301–312.

By: Y. Kim n, S. Feng n & Z. Zeng n

author keywords: multilocus linkage disequilibrium; multiple order Markov chains; partition of multilocus LID
MeSH headings : Biometry; Databases, Genetic; Epidemiologic Methods; Gene Frequency; Haplotypes; Humans; Likelihood Functions; Linkage Disequilibrium; Markov Chains; Models, Genetic
TL;DR: Non‐homogeneous, multiple order Markov Chain models are employed as a statistical framework to measure and partition the LD among multiple markers into components due to different orders of marker associations and the results reveal that the most LD in the HapMap data is attributed to the LD between adjacent pairs of markers across the whole region. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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