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Genetics
- Ad-mixture (aka Ethnicity Mix)
- Allosomes (Sex chromosomes X & Y)
- Autosomes (Chromosomes 1-22)
- Base Pair
- CE Testing (1st Wave)
- centiMorgan (cM)
- Chromosomes
- Clade
- Cladogram
- dbSNP, rsID, NIH, etc
- Deoxyribonucleic Acid (DNA)
- Derived & Ancestral
- Endogamy or Pedigree Collapse
- epigenetics
- Gene
- Genetic Marker
- Genome Build (aka Reference Model)
- Genotyping
- Haplogroup
- Haploid & Diploid
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- Imputation
- Low Coverage Sequencing
- Meiosis & Mitosis
- Microarray Testing (2nd Wave)
- Microarray File Formats (aka RAW)
- Mito Build (rCRS, Yoruba, RSRS)
- Mitochondria
- Modal
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- Pangenome
- Phylogenetic Tree
- Probes, Primers, Adaptors and Tags
- Recombination (aka Cross-Overs)
- Sampling Techniques
- Sequencing (3rd Wave)
- Sequencing File Formats
- Single Nucleotide Polymorphism (SNP)
- Short Tandem Repeat (STR)
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Genealogy
- Ahnentafel number
- Ancestor and Descendant
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- Branches
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- Family (Nuclear, and Household)
- Genealogical Exchange Database (GEDCom)
- Genealogical Proof Standard (GPS)
- Genealogical Records
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- Generation Difference (GD)
- Individuals
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- Née
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- One-Tree (aka World Tree)
- Patriline & Matriline
- Places
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- Surname, One-Name and Family Branch Studies
- Years Before Present (ybp)
- (Genetic Genealogy) Terms
- Genetics Industry
- (Genetic Genealogy and Ancient DNA) Industry
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- Imputation
Imputation is a way of inferring missing values in a test result. Basically, an educated guess. It is used mostly in Genome-Wide Association Studies (GWAS) based on low coverage sequencing. It is also used in genetic genealogy matching segment sites when dissimilar microarrays are used and need to be compared. When studying larger populations and trends, it is an effective technique. But, to date, it is inaccurate for individual testers trying to determine particular missing values. Segment Matching Sites utilizing the technique will often return much larger matching segment lengths than would otherwise be measured.