title: PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling.
abstract: Identifying segments in the genome of different individuals that are identical-by-descent (IBD) is a fundamental element of genetics. IBD data is used for numerous applications including demographic inference, heritability estimation, and mapping disease loci. Simultaneous detection of IBD over multiple haplotypes has proven to be computationally difficult. To overcome this, many state of the art methods estimate the probability of IBD between each pair of haplotypes separately. While computationally efficient, these methods fail to leverage the clique structure of IBD resulting in less powerful IBD identification, especially for small IBD segments.
authors: Danny S
authors: DS
authors: Park
authors: Yael
authors: Y
authors: Baran
authors: Farhad
authors: F
authors: Hormozdiari
authors: Celeste
authors: C
authors: Eng
authors: Dara G
authors: DG
authors: Torgerson
authors: Esteban G
authors: EG
authors: Burchard
authors: Noah
authors: N
authors: Zaitlen
mesh_terms: D001249:Asthma / Q000453:epidemiology / Q000235:genetics*; D015331:Cohort Studies; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D005828:Genetics, Population; D015894:Genome, Human; D006239:Haplotypes / Q000235:genetics*; D006630:Hispanic or Latino / Q000235:genetics; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011336:Probability