How to Read GEDmatch Results and Interpret Your DNA

GEDmatch serves as a third-party platform for advanced DNA analysis, enabling individuals to upload raw genetic data obtained from various testing companies. This allows users to delve deeper into their genetic information beyond initial reports. By centralizing diverse DNA datasets, GEDmatch facilitates comprehensive comparisons and genealogical investigations. The platform offers a suite of tools designed to help users interpret their DNA results, connecting them with potential relatives and exploring their ancestral origins.

Essential GEDmatch Terminology

Understanding specific terminology is foundational for navigating GEDmatch and interpreting its results effectively.

Centimorgans (cM) represent a unit of genetic distance, indicating the likelihood that two markers on a chromosome will be separated during recombination. A higher cM value shared between individuals generally signifies a closer genetic relationship.

Single Nucleotide Polymorphisms (SNPs), pronounced “snips,” are the most common type of genetic variation among people. Each SNP represents a difference in a single DNA building block, or nucleotide. Shared segments refer to identical sections of DNA between two individuals, which are likely inherited from a common ancestor. The length of these segments, measured in cM, and their number provide clues about the recency and closeness of a shared ancestry.

Every DNA upload on GEDmatch is assigned a unique identifier known as a Kit Number. This number allows users to access their results and compare them with others on the platform. Admixture describes the process where individuals or populations interbreed, resulting in a new population with mixed genetic ancestry. This concept is crucial for understanding ancestry estimates, as it reflects historical population movements and intergroup mixing. Finally, a Chromosome Browser is a visual tool that displays shared DNA segments between individuals across their chromosomes. This graphical representation helps users pinpoint the exact locations where their DNA matches another person’s.

Deciphering Your DNA Matches

GEDmatch offers several tools for identifying and evaluating DNA matches, with the “One-to-Many” and “One-to-One” comparisons being central. The “One-to-Many” tool generates a list of individuals in the GEDmatch database who share DNA with your uploaded kit. This report displays crucial information such as the total shared centimorgans (cM), the length of the largest shared segment, and the number of Single Nucleotide Polymorphisms (SNPs) that match. Higher total cM and longer largest segments generally indicate closer genetic relationships.

The “One-to-One” autosomal DNA comparison allows for a detailed side-by-side analysis of your DNA against a specific match. This tool provides granular segment data, including the chromosome number, start and end locations of shared segments, the centimorgan length for each segment, and the number of matching SNPs within those segments. Examining these specific segment details helps confirm the nature of the genetic connection. For instance, multiple long segments often suggest a relatively recent common ancestor. This detailed view is instrumental for genealogists seeking to verify relationships.

The Chromosome Browser complements these comparison tools by providing a visual representation of shared DNA segments. When using the “One-to-One” comparison, the chromosome browser visually highlights the exact chromosomal locations where DNA segments are shared between two kits. This visual aid makes it easier to identify segments that are identical by descent, meaning they were inherited from a common ancestor. By examining these shared segments across chromosomes, users can gain insights into the specific ancestral lines contributing to their genetic connections.

Interpreting the data from these tools involves assessing the amount and distribution of shared DNA. A shared segment of 7 cM or more is generally considered significant for identifying genealogical relationships. The total shared cM helps estimate the degree of kinship, with larger amounts corresponding to closer relatives. For example, a parent and child typically share around 3700 cM, while first cousins might share an average of 1000 cM. By combining the cM values, segment lengths, and chromosomal locations, users can assess the likelihood of a specific relationship and begin to narrow down potential common ancestors.

Unlocking Your Ancestry Estimates

GEDmatch provides “Admixture” tools, often referred to as ‘Calculators,’ which offer estimates of an individual’s ancestral origins. These tools are designed to break down a person’s DNA into percentage contributions from various ancestral populations, providing insights into their deep ancestry. Admixture analysis helps users understand the historical mixing of genetic populations that contributed to their unique genetic makeup.

Users can select and run different Admixture calculators available on GEDmatch, such as Eurogenes, MDLP, and HarappaWorld. Each calculator employs distinct reference populations and algorithms to derive its estimates, which means the results can vary significantly between calculators. For example, one calculator might emphasize ancient migrations, while another focuses on more recent population movements. It is important to remember that these are statistical estimates based on models, not definitive genealogical facts.

To interpret the percentage breakdowns, it is advisable to look for consistent themes or patterns across multiple calculators rather than relying on a single result. If several calculators consistently show a certain ancestral component, it strengthens the likelihood of that heritage. Conversely, minor percentages that appear in only one or two calculators might be statistical noise or reflect very distant ancestry. Analyzing these patterns helps users develop a more nuanced understanding of their genetic heritage.

Admixture analysis has inherent limitations. The accuracy of the estimates depends heavily on the reference populations used by each calculator, which are dynamic and continually refined as more diverse genetic data becomes available. Historical migrations and population bottlenecks can also influence results, sometimes making precise assignments challenging. Understanding these limitations is important for managing expectations and approaching ancestry estimates with a critical perspective.

Refining Your GEDmatch Analysis

Advanced techniques like triangulation and phasing significantly enhance the accuracy and depth of genealogical research on GEDmatch. Triangulation is a powerful method for confirming shared ancestry by identifying three or more DNA matches who all share an identical segment of DNA with each other, in addition to sharing it with you. This indicates that all individuals in the triangulated group inherited that specific segment from a single common ancestor.

To perform triangulation on GEDmatch, users can leverage the “One-to-Many” and “One-to-One” tools in conjunction with the Chromosome Browser. After identifying potential matches through the “One-to-Many” report, the “One-to-One” comparison allows for a detailed view of shared segments. By comparing these segments across multiple matches on the Chromosome Browser, genealogists can visually confirm if the same segment is present in all individuals, forming a triangulated group. This process helps to pinpoint the specific ancestral line through which the shared DNA was inherited.

Phasing is another advanced technique that separates a person’s DNA into their maternal and paternal contributions. Since an individual inherits one copy of each chromosome from their mother and one from their father, phasing aims to determine which specific DNA segments came from which parent. GEDmatch offers a “Phasing” tool that can generate phased kits, typically requiring the DNA data of the individual and at least one parent.

Phasing significantly improves the accuracy of match analysis by reducing false matches, which are segments that appear to match but were not inherited from a recent common ancestor. By creating separate maternal and paternal kits, users can more precisely identify which side of their family a match originates from, leading to more targeted and efficient genealogical research. These refined analyses help break through genealogical brick walls by providing clearer ancestral pathways for further investigation.