Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Regression models for DNA-mixtures.

Forensic science international. Genetics - 1 Jul 2014

Kaur Navreet, Fonneløp Ane Elida, Egeland Thore

Abstract excerpt

This paper deals with the statistical interpretation of DNA mixture evidence. The conventional methods used in forensic casework today use something like 16 STR-markers. Power can be increased by rather using SNP-markers. New statistical methods are then needed, and we present a regression framework. The basic idea is that the traditional forensic hypotheses, commonly denoted HD and HP, are replaced by parametric...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to DNA
Share to Gene Frequency
Share to Models, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 24709581
DOI: 10.1016/j.fsigen.2014.03.002

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Regression models for DNA-mixtures.PMID 24709581Read ↗

Complex mixtures: a critical examination of a paper by Homer et al.Semantic proximity Read ↗

Development and validation of open-source software for DNA mixture interpretation based on a quantitative continuous model.Semantic proximity Read ↗

Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversitySemantic proximity Read ↗

Estimating the number of contributors to a DNA profile.Semantic proximity Read ↗

Forensic identification of an individual in complex DNA mixtures.Semantic proximity Read ↗

Facilitating complex DNA mixture interpretation by sequencing highly polymorphic haplotypes.Semantic proximity Read ↗

The effect of varying the number of contributors on likelihood ratios for complex DNA mixtures.Semantic proximity Read ↗

A novel computational strategy to predict the value of the evidence in the SNP-based forensic mixtures.Semantic proximity Read ↗

Two-person DNA mixture interpretation based on a novel set of SNP-STR markers.Semantic proximity Read ↗

Robust detection of individual forensic profiles in DNA mixtures.Semantic proximity Read ↗

Exclusion probabilities and likelihood ratios with applications to mixtures.Semantic proximity Read ↗

Distinguishing between donors and their relatives in complex DNA mixtures with binary models.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.