Identity inference of genomic data using long-range familial searches | Zendy

Yaniv Erlich | Zendy; Tal Shor | Zendy; Itsik Pe’er | Zendy; Shai Carmi | Zendy

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Identity inference of genomic data using long-range familial searches

Author(s) -

Yaniv Erlich,

Tal Shor,

Itsik Pe’er,

Shai Carmi

Publication year - 2018

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.aau4832

Subject(s) - identity by descent , inference , genomics , identification (biology) , data science , identifier , identity (music) , law enforcement , big data , computer science , biology , data mining , genetics , political science , artificial intelligence , genome , law , gene , acoustics , botany , physics , genotype , haplotype , programming language

Detecting familial matches Recent advances in DNA technology and companies that provide array-based testing have led to services that collect, share, and analyze volunteered genomic information. Privacy concerns have been raised, especially in light of the use of these services by law enforcement to identify suspects in criminal cases. Testing models of relatedness, Erlichet al. show that many individuals of European ancestry in the United States—even those that have not undergone genetic testing—can be identified on the basis of available genetic information. These results indicate a need for procedures to help maintain genetic privacy for individuals.Science , this issue p.690

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