The limits of individual identification from sample allele frequencies: Theory and statistical analysis

PLoS Genetics

Volumn 5, Issue 10, 2009, Pages

  Visscher, Peter M ^a   Hill, William G ^b  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA ANALYSIS; ERROR; GENE FREQUENCY; MEDICAL LITERATURE; REGRESSION ANALYSIS; SAMPLE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; THEORY; BIOLOGICAL MODEL; GENOTYPE; HUMAN; POPULATION GENETICS; STATISTICAL MODEL;

GENE FREQUENCY; GENETICS, POPULATION; GENOTYPE; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 73449105071     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1000628     Document Type: Article

References (4)

1. Homer N, Szelinger S, Redman M, Duggan D, Tembe W, et al. (2008) Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet 4: e1000167. doi:10.1371/journal.pgen.1000167.
2. Hill WG, Robertson A (1968) Linkage disequilibrium in finite populations. Theor Appl Genet 38: 226-231.
3. Hayes BJ, Visscher PM, Goddard ME (2009) Increased accuracy of artificial selection by using the realized relationship matrix. Genetics Research 91: 47-60.
4. International Schizophrenia Consortium (2009) Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature (Epub July 1st 2009).