DNA Tests for Ethnicity & Genealogical DNA testing at AncestryDNA
 
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The leader in DNA testing for family history.

Family history is in our DNA. What's in yours?

Get personalized details about your ethnic origins. Discover more about your story with advanced DNA science from the experts in family history.

Now $99 Get AncestryDNA

Discover your ethnicity

Find out if you're part Irish, Native American, or maybe Cameroonian.

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Connect with new relatives

Imagine meeting a 3rd cousin for the 1st time.

Family history is in our DNA

Even more powerful when combined with Ancestry.com.

 AncestryDNA is private and secure. Learn more
Questions? Call 1-800-ANCESTRY

Getting started in four easy steps.

Get your kit with easy-to-follow instructions.

Send in your kit with a small saliva sample.

Experts analyze your DNA within 6-8 weeks.

Discover your heritage, cousins, and more online.

Get the most comprehensive family history experience.

What people are saying

“...as an African American, you don’t always have the luxury to know exactly where your ancestors are from....It’s fascinating!”

- Los Angeles Times, April 27, 2013

Vanessa Williams

actor, singer, dancer, and author

Vanessa Williams

actor, singer, dancer, and author

Read more about Vanessa Williams’ family history experience

“I am so happy
 to have taken the DNA test as it solidified my findings and gave us the TRUE ancestry of my family!”

—Robert P.

“I love that you’re
 continually perfecting AncestryDNA.”

—Sally J.

“The detail
 is fascinating.”

—Samuel R.

“Words can’t express
 how much Ancestry.com has changed my life and has enlightened me.”

—Felicia M.

“Imagine my surprise
 when a DNA match contacted me and started sharing postcards sent between our grandmothers. What was once a dead end on my family tree is now alive and blossoming.”

—Sigmund D.

Discover AncestryDNA for yourself. Buy now

Privacy and security

Your privacy is important to us and we go to great lengths to protect each person's genetic information throughout the process. Here are a few of the measures we take:

  • Your personal data and genetic information are access controlled, password protected and stored in an encrypted database.
  • We assign you an ID number to separate your private information from your DNA.
  • We give multiple "privacy setting" options to choose from.
  • In addition to our privacy measures, you are also protected by GINA (Genetic Information Nondiscrimination Act).

For more details on our security and privacy procedures, visit our Privacy page.

Learn about DNA testing.

There are millions of variations in your DNA that make you unique. Since you inherit these variations from your ancestors, they are also what make DNA a powerful family history tool to help you discover connections to your past. Learn more

What makes AncestryDNA so powerful

Covers both sides of your family

It uses some of the latest autosomal testing technology as a more comprehensive way to cover all branches in your tree, not just the maternal or paternal lines.

Analyzes over 700,000 markers

It surveys your entire genome at over 700,000 locations. Other tests, such as a mtDNA and Y-DNA only look at about 50 markers.

Integrated with Ancestry.com

It's designed to work together with Ancestry.com, the world's largest online family history resource, with billions of historical records, stories and family trees.

A massive DNA collection

We've assembled one of the most comprehensive DNA datasets from around the world to compare to your DNA signature and help determine your ethnicity.

Your DNA results are just the beginning.

Your results can be a great starting point for your family history, or a way to dig even deeper into the research you've already done.

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Meet the AncestryDNA science team.

Our team of expert population geneticists, statisticians, data scientists, engineers and molecular biologists are working with the latest technological advances to bring you some of the most powerful tools in genealogy research.

Ken Chahine, Ph.D.

Sr. Vice President and General Manager, Ancestry.com
President, AncestryDNA

Ken Chahine is President of Ancestry.com DNA, LLC and has been with the company since 2011. Prior to joining AncestryDNA, he held positions at several institutions, including Parke-Davis Pharmaceuticals (currently Pfizer), the University of Utah and was also Chief Executive Officer of the biotechnology company Avigen. Dr. Chahine also teaches a course focused on new venture development, intellectual property, and licensing at the University of Utah's College of Law. He earned a Ph.D. in Biochemistry from the University of Michigan, a J.D. from the University of Utah College of Law, and a B.A. in Chemistry from Florida State University....

Catherine Ball, Ph.D.

VP Genomics and Bioinformatics, AncestryDNA

Catherine Ball is a genomic scientist who has annotated and mined the genomes of various organisms and created resources to help clinicians, citizens and other scientists exploit and explore genome data. Dr. Ball has collaborated on the annotation of the first sequenced eukaryotic genome (brewer's yeast) and has collaboratively built databases to explore the genomes of yeast, E. coli and the bacterium that causes tuberculosis. As a pioneer in data analysis resources for high-throughput biomedical technologies, she led the Stanford Microarray Database, the largest academic database of its kind. Dr. Ball has used high-throughput biomedical data to shed light on diverse research topics, from the biology of infectious organisms to the mechanisms involved in cell division and cancer. She received a B.S. in Biology and a Ph.D. in Molecular Biology from the University of California, Los Angeles. Dr. Ball was a post-doctoral fellow at the University of California, Berkeley prior to her research in the Departments of Genetics and Biochemistry at Stanford University School of Medicine....

Natalie Myres, M.S., M.B.A.

Director of Business Development, AncestryDNA

Natalie has over 10 years of experience in the biotechnology industry with a focus on developing consumer-based DNA testing products. Prior to joining the AncestryDNA team, she began working at Sorenson Molecular Genealogy Foundation (SMGF), later becoming the Director of Research and Development. During her time at SMGF she has managed the bioinformatics and data production/processing functions associated with constructing the SMGF database, the largest database of linked genetic and genealogical information in the world. Ms. Myres has also managed product development and business development activities for SMGF. Additionally, Natalie works with an international team of scientists conducting research on the human Y chromosome, which focuses on understanding population affinity, substructure and history in modern-day populations. She is the co-author of numerous peer-reviewed scientific publications on Y chromosome population genetics. Ms. Myres received a B.S. in molecular biology and a M.S. in biochemistry from Brigham Young University. She also holds M.B.A. degrees from Columbia University and U.C. Berkeley....

Jake Byrnes, Ph.D.

Population Genomics Senior Analyst, AncestryDNA

Jake Byrnes is a biologist with expertise in human populations, particularly African-American and Latino populations from South and Central America. In his previous work, Dr. Byrnes used DNA sequences to study human population expansion, migration, and evolution. Using computer-aided statistical analysis, Dr. Byrnes was able to identify and date events such as European colonization of the Caribbean, the effects of sex-bias in the migration and was even able to identify which West African populations likely contributed to the slave-trade on the islands. Dr. Byrnes received a B.A. from the New College of Florida. From there, he moved to Chicago where he received an M.S. degree in Statistics and a Ph.D. in Ecology and Evolution from the University of Chicago. After graduate school, Dr. Byrnes moved to Oxford, England where he was a post-doctoral fellow at the Welcome Trust Centre for Human Genetics, Oxford University. Most recently, he worked as a postdoctoral fellow in Dr. Carlos Bustamante's laboratory at Stanford University....

Mathew Barber, Ph.D.

Statistical Geneticist, AncestryDNA

Mathew Barber is a statistical geneticist with expertise in designing and implementing statistical tools for genetic data, from pedigree data to distantly related individuals. Dr. Barber received a Mathematics Degree from Nottingham University, UK. A biology and genetics enthusiast, he then took a Masters course in Biometry (biostatistics) at Reading University (UK), specializing in statistical genetics. Dr. Barber also worked as part of the Twin Research and Genetic Epidemiology Unit, King’s College London. Following this, he undertook his Ph.D. studies at Cambridge University researching statistical methods for the analysis of genetics data. After completing his Ph.D., Dr. Barber moved to the University of Chicago where he worked with Dr. Matthew Stephens and subsequently Dr. Dan Nicolae, both of whom are in the Departments of Statistics and Human Genetics....

Ross Curtis, Ph.D.

DNA Scientist and Software Engineer, AncestryDNA

Ross Curtis is a computational biologist with expertise in genetics and visual analytics. In his previous work, Dr. Curtis focused on creating intuitive visual representations of complex statistical genetics analyses, including visual analytics strategies that enabled biologists to analyze full genome data. Dr. Curtis used his new strategies to find genetic mutations that contribute to the inheritance of complex traits in a variety of different organisms. Dr. Curtis received a B.S. from Brigham Young University and then earned his Ph.D. in Computational Biology from Carnegie Mellon University....

Keith Noto, Ph.D.

Senior Data Scientist, AncestryDNA

Keith Noto is a computer scientist with expertise in machine learning. Dr. Noto has developed several novel algorithms with applications in a variety of biologically-motivated tasks, including transcription factor discovery in mammalian DNA promoters, text classification and ranking for specialized biomedical databases, and anomaly detection in fetal human microarray data. Dr. Noto received his Ph.D. in Computer Science at the University of Wisconsin-Madison, and has extended his training by taking postdoctoral research appointments at the University of California at San Diego and most recently at Tufts University....

Yong Wang, Ph.D.

Senior Data Scientist, AncestryDNA

Yong Wang is a geneticist whose formal training emphasized understanding the evolutionary history of human populations. Dr. Wang’s research involves developing computational and statistical methods for genomic data analysis and estimating the demographic histories that best explain observed patterns of genetic variation among modern and ancient humans. Prior to joining AncestryDNA, Dr. Wang worked as a postdoctoral researcher with Dr. Rasmus Nielsen at the University of California, Berkeley, where he contributed to genome analyses of Aboriginal Australians and the Paleo-Eskimos. His work has led to a series of co-authored publications in high-impact scientific journals including Science, Nature and The Proceedings of the National Academy of Sciences (PNAS USA). Dr. Wang received a Ph.D. in Genetics and a M.S. in Statistics from Rutgers University. He also received a B.S. in Life Sciences and a B.E. in Computer Science from the University of Science and Technology of China....

Julie Granka, Ph.D.

Population Geneticist, AncestryDNA

Julie Granka is a biologist and a statistician with expertise in genetics and evolution. Dr. Granka has experience developing and applying advanced computational tools to genetic data to understand population history and evolution. During fieldwork in South Africa, she collected and analyzed DNA samples from an African hunter-gatherer population to uncover the genetic basis of human height and skin pigmentation. Dr. Granka has also analyzed numerous other African populations to identify regions of the human genome where positive natural selection has occurred in recent history. In addition, she has studied the genetics of other organisms, including M. tuberculosis, the organism that causes tuberculosis. Dr. Granka received a B.S. in Biometry and Statistics from Cornell University where she worked with Dr. Carlos Bustamante. Afterwards, she received an M.S. in Statistics and a Ph.D. in Biology with Dr. Marcus Feldman at Stanford University....

Scientific Advisory Board

Philip Awadalla, Ph.D.

Professor, Department of Pediatrics
University of Montreal

Dr. Philip Awadalla's research includes work relevant to human genomics and a broad range of chronic and rare diseases, including genetic infectious diseases in the developing world. Dr. Awadalla is also the Principal Investigator and Director of the CARTaGENE Biobank of Quebec. This prospective public health survey of Quebec, in its first phase, captured biological, clinical, genealogical and genomic data from over 20,000 participants. He is also co-director of the Centre for Child Health Genomics at University of Montreal and he currently holds the Genome Quebec recruitment award for Population and Medical Genomics....

Jeffrey Botkin, M.D., M.P.H.

Professor, Department of Pediatrics
University of Utah

Jeffrey Botkin is Chief of the Division of Medical Ethics and Humanities and serves as the Associate Vice President for Research Integrity at the University of Utah. His research is focused on the ethical, legal, and social implications of genetic technology with a particular emphasis on research ethics, genetic testing for cancer susceptibility, biobanking, newborn screening, and prenatal diagnosis. Dr. Botkin formerly was Chair of the Committee on Bioethics for the American Academy of Pediatrics and a former member of the Secretary's Advisory Committee on Human Research Protections at DHHS. Dr. Botkin is currently a member of the Secretary's Advisory Committee on Heritable Diseases in Newborns and Children. He chairs the NIH's Embryonic Stem Cell Working Group and is an elected fellow of the Hastings Center....

Carlos Bustamante, Ph.D.

Professor, Department of Genetics
Stanford University

Dr. Carlos Bustamante is a Population Geneticist who received his Ph.D. from Harvard University. His research focuses on analyzing genome-wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. During the past nine years as a faculty member at Cornell and Stanford, he has trained about 40 post-doctoral fellows and graduate students as a primary advisor. Much of his research is at the interface of computational biology, mathematical genetics, and evolutionary genomics....

Mark Daly, Ph.D.

Associate Professor of Medicine
Harvard Medical School

Mark Daly directs computational biology for the Massachusetts General Hospital/Harvard Medical School Medical and Population Genetics Program. Dr. Daly holds a B.S. in physics from the Massachusetts Institute of Technology and a Ph.D. in genetics from Leiden University. Previously, he was the director of the Human Genetics Informatics group at the Whitehead Institute Center for Genome Research. Dr. Daly's group now currently develops and actively supports GENEHUNTER and MAPMAKER/QTL software, used by hundreds of labs worldwide, for performing linkage analyses in natural and experimental pedigrees and more recently has released Haploview, which has become a standard for LD analysis and is a primary analysis and visualization tool used in the HapMap Project....

John Novembre, Ph.D.

Associate Professor, Department of Human Genetics
University of Chicago

John Novembre earned his Ph.D. under Dr. Montgomery Slatkin at the University of California-Berkeley, before taking an NSF Bioinformatics Fellowship at the University of Chicago under Dr. Matthew Stephens. At the University of Chicago, Dr. Novembre's research focuses on developing population genetic theory and statistical methods for population genetic data, such as high-throughput single nucleotide polymorphism data and next-generation sequencing data. His work focuses on question relevant to human evolution and ancestry, the mapping of disease traits, and spatial population structure....