Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease.
J. Kenneth BaillieAndrew BretherickChristopher S. HaleySara ClohiseyAlan GrayLucile P. A. NeytonJeffrey BarrettEli A. StahlAlbert TenesaRobin AnderssonJ. Ben BrownGeoffrey J. FaulknerMarina LizioUlf SchaeferCarsten O. DaubMasayoshi ItohNaoto KondoTimo LassmannJun KawaiIIBDGC ConsortiumDamian MoleVladimir B. BajicPeter HeutinkMichael RehliHideya KawajiAlbin SandelinHarukazu SuzukiJack SatsangiChristine A. WellsNir HacohenTom C. FreemanYoshihide HayashizakiPiero CarninciAlistair R. R. ForrestDavid A. HumePublished in: PLoS Comput. Biol. (2018)
Keyphrases
- association studies
- activity patterns
- genetic variation
- single nucleotide polymorphisms
- haplotype inference
- genome wide
- human genome
- high throughput
- sequence data
- complex diseases
- cellular automata
- entropy minimization
- genome wide association studies
- genomic data
- linkage disequilibrium
- dna sequences
- molecular level
- real time
- management system
- computational approaches
- answer set programming
- human subjects
- copy number
- multi population
- statistical methods
- data acquisition
- microarray
- genetic algorithm