ArticleBMC genomics2008
A genome-wide Asian genetic map and ethnic comparison: the GENDISCAN study.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci for Nitrite Tolerance in the Pacific White Shrimp (Frontiers in genetics · 2020Article
- Correlations between Synaptic Initiation and Meiotic Recombination: A Study of Humans and Mice.American journal of human genetics · 2016Article
- Examining variation in recombination levels in the human female: a test of the production-line hypothesis.American journal of human genetics · 2014Article
- Fine-scale mapping of meiotic recombination in Asians.BMC genetics · 2013Article
- Article
- Comprehensive genomic analyses associate UGT8 variants with musical ability in a Mongolian population.Journal of medical genetics · 2012Article
- Gene mapping study for constitutive skin color in an isolated Mongolian population.Experimental & molecular medicine · 2012Article
- Recombination rates in admixed individuals identified by ancestry-based inference.Nature genetics · 2011Article
- Enhanced genetic maps from family-based disease studies: population-specific comparisons.BMC medical genetics · 2011Article
- Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study.Human genetics · 2010Article
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic maps provide specific positions of genetic markers, which are required for performing genetic studies. Linkage analyses of Asian families have been performed with Caucasian genetic maps, since appropriate genetic maps of Asians were not available. Different ethnic groups may have different recombination rates as a result of genomic variations, which would generate misspecification of the genetic map and reduce the power of linkage analyses.
resultsWe constructed the genetic map of a Mongolian population in Asia with CRIMAP software. This new map, called the GENDISCAN map, is based on genotype data collected from 1026 individuals of 73 large Mongolian families, and includes 1790 total and 1500 observable meioses. The GENDISCAN map provides sex-averaged and sex-specific genetic positions of 1039 microsatellite markers in Kosambi centimorgans (cM) with physical positions. We also determined 95% confidence intervals of genetic distances of the adjacent marker intervals. Genetic lengths of the whole genome, chromosomes and adjacent marker intervals are compared with those of Rutgers Map v.2, which was constructed based on Caucasian populations (Centre d'Etudes du Polymorphisme Humain (CEPH) and Icelandic families) by mapping methods identical to those of the GENDISCAN map, CRIMAP software and the Kosambi map function. Mongolians showed approximately 1.9 fewer recombinations per meiosis than Caucasians. As a result, genetic lengths of the whole genome and chromosomes of the GENDISCAN map are shorter than those of Rutgers Map v.2. Thirty-eight marker intervals differed significantly between the Mongolian and Caucasian genetic maps.
conclusionThe new GENDISCAN map is applicable to the genetic study of Asian populations. Differences in the genetic distances between the GENDISCAN and Caucasian maps could facilitate elucidation of genomic variations between different ethnic groups.
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