23andMe has received a $1.4 million grant from the National Institutes of Health to develop its web-based database and research engine for genetic discovery. The grant supports the utilization of whole-genome sequence data and imputation to discover rare variants associated with disease.
23andMe's new HaploScore algorithm improves IBD detection accuracy, enabling more accurate genetic relationships and ancestry reports. The open-source algorithm can be applied to existing IBD segments, differentiating between true and false positives.
A genome-wide association study by 23andMe has identified 11 new genetic markers associated with asthma-with-hay fever. The study, led by researchers at QIMR Berghofer Medical Research Institute, used data from 20,000 individuals and found variants in the ZBTB10 and CLEC16A regions linked to allergic disease.
A genetic study conducted by 23andMe has identified four genetic markers associated with the development of non-syndromic striae distensae (stretch marks), a skin condition affecting approximately 50-80% of people. The study suggests that elastin, a key component of elastic fibers in the skin, plays a crucial role in the formation of s...
The study identified 16 new genetic associations related to pollen, dust-mite, and cat allergies, highlighting key pathways in the biological basis of common allergies. This research provides a significant step towards understanding the genetic link between allergens and allergic reactions.
A genome-wide association study identifies 20 new genetic associations for myopia, a refractive error resulting from increased axial length of the eye. The study suggests that complex interactions underlie the development of myopia, with extracellular matrix remodeling and neuronal development playing key roles.
The new feature uses DNA inherited from all ancestors on both sides of the family to indicate an individual's ancestral origins. Ancestry Composition offers state-of-the-art detail for people with European ancestry and accurate breakdowns for individuals of mixed ancestry.
23andMe has received NIH grants totaling $573,000 to support projects on allergies and asthma genetics, sequencing technology accuracy, and database development. These projects aim to accelerate human genetic research and improve diagnostics and treatments for allergic conditions.
A new study by 23andMe finds that combining family history with genetic testing provides the most accurate predictions for complex diseases. For highly common conditions like coronary artery disease, family history is essential, while genetic tests offer more value for less common diseases.
23andMe is opening its API to third-party developers, enabling them to create new web-based interactive tools using the company's DNA data. Approved developers will receive an authentication key to access the platform.
23andMe's acquisition of CureTogether expands its capacity for people-powered research and community-driven projects. The combined platforms will facilitate the sharing of genetic and phenotypic data to accelerate research discoveries.
A study by 23andMe identified seven single-nucleotide polymorphisms (SNPs) associated with breast size, including three linked to breast cancer. The analysis controlled for age, ancestry, and other factors, providing insight into the genetic factors underlying normal breast development.
A genome-wide association study published in PLoS Genetics found six new loci associated with early onset male pattern baldness, including unexpected links to Parkinson's disease. The study also identified a risk score predictive of hair loss based on genotypes at eight associated loci.
Khan Academy and 23andMe are collaborating to educate people about genetics and the Human Genome Project. The partnership provides free educational resources, including video series and interactive tools, to help individuals understand their own genetic information.
The study found five significant genetic associations for hypothyroidism, including rs6679677 near PTPN22 and rs925489 near FOXE1, which contribute to understanding the underlying biology of the disease. The results also highlight potential pathways of treatment for autoimmune diseases.
Researchers at 23andMe have identified the potential protective nature of the SGK1 gene against Parkinson's disease, particularly for individuals carrying high-risk LRRK2 mutations. This discovery has the potential to inform therapeutic approaches and diagnostics for Parkinson's disease.
The study replicated approximately 75% of the expected associations, demonstrating high-quality findings from self-reported data. 23andMe's web-based platform enables researchers to investigate hundreds of genetic factors in dozens of diseases efficiently and cost-effectively.
23andMe's Myeloproliferative Neoplasms (MPN) research initiative aims to recruit 1,000 individuals with these rare blood cancers to participate in genetic analysis and online discussions. The program will advance research and create a community for those affected by MPNs.
The study discovered two novel genetic associations with Parkinson's disease, one near the SCARB2 gene and another near SREBF1 and RAI1 genes. The research also replicated twenty previously known genetic associations, providing strong evidence for the web-based design used in this study.
23andMe has built one of the world's largest databases with over 100,000 individuals' genetic data, facilitating rapid recruitment for genome-wide association studies. The company's novel research approach has led to new genetic associations for common traits and rare diseases.
23andMe has completed its Independent Sarcoma Scientific Advisory Committee, comprising leading researchers and clinicians, to advance understanding of sarcomas. The company aims to combine genetic data with patient-reported outcomes to find patterns in sarcoma biology and treatment response.
23andMe is conducting a web-based research project to validate its platform for pharmacogenomics research, with a goal of identifying novel genetic associations for drug response. The study aims to replicate previously known associations and search for unknown genetic factors related to response to three classes of drugs.
23andMe's web-based research framework facilitates rapid recruitment of participants, reducing time and money needed for new discoveries. The study replicated several known genetic associations, including novel SNP associations for hair curl and freckling.