Inferring relatedness from genomic data is an essential component of genetic association studies, population genetics, forensics, and genealogy. Due to the random nature of Mendelian inheritance, variance in the amount of the genome shared identically between two individuals of a certain degree of relatedness can be high, making relatedness inference difficult. While numerous methods exist for performing such inference, thorough evaluation of these methods in real data has been lacking. We assessed 11 state-of-the-art relatedness inference methods using a dataset with 2,485 individuals contained in several large pedigrees that span up to six generations. Overall, the methods have high accuracy (93%-99%) when reporting first and second degre...
Genealogical inference from genetic data is essential for a variety of applications in human genetic...
As a key parameter in population genetics, relatedness has found wide applications in molecular ecol...
Relatedness between individuals is an important element of genetic-epidemiological and evolutionary ...
As genetic datasets increase in size, the fraction of samples with one or more close relatives grows...
147 pagesThe fraction of relatives in large genetic databases is continuously increasing, making it ...
It is an assumption of large, population-based datasets that samples are annotated accurately whethe...
Relationship and relatedness estimation from genetic markers is relevant to many areas, including ge...
Measuring genetic relatedness is fundamental to many applications of human genomics. Genetic related...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Estimating genetic relatedness, and inbreeding coefficients is important to the fields of quantitati...
We present a method for improving the power of linkage analysis by detecting chromosome segments sha...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Thesis (Ph.D.)--University of Washington, 2017-03Identity by descent (IBD) describes the shared inhe...
Correctly inferring relatedness among samples is essential for genetic analysis. It can be helpful f...
Genealogical inference from genetic data is essential for a variety of applications in human genetic...
As a key parameter in population genetics, relatedness has found wide applications in molecular ecol...
Relatedness between individuals is an important element of genetic-epidemiological and evolutionary ...
As genetic datasets increase in size, the fraction of samples with one or more close relatives grows...
147 pagesThe fraction of relatives in large genetic databases is continuously increasing, making it ...
It is an assumption of large, population-based datasets that samples are annotated accurately whethe...
Relationship and relatedness estimation from genetic markers is relevant to many areas, including ge...
Measuring genetic relatedness is fundamental to many applications of human genomics. Genetic related...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Estimating genetic relatedness, and inbreeding coefficients is important to the fields of quantitati...
We present a method for improving the power of linkage analysis by detecting chromosome segments sha...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relati...
Thesis (Ph.D.)--University of Washington, 2017-03Identity by descent (IBD) describes the shared inhe...
Correctly inferring relatedness among samples is essential for genetic analysis. It can be helpful f...
Genealogical inference from genetic data is essential for a variety of applications in human genetic...
As a key parameter in population genetics, relatedness has found wide applications in molecular ecol...
Relatedness between individuals is an important element of genetic-epidemiological and evolutionary ...