PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 16451684

Haplotype-sharing analysis using Mantel statistics for combined genetic effects.

Lars Beckmann·Christine Fischer·Markus Obreiter·Michael Rabes·Jenny Chang-Claude
View original source ↗Export metadata ↓

Abstract

We applied a new approach based on Mantel statistics to analyze the Genetic Analysis Workshop 14 simulated data with prior knowledge of the answers. The method was developed in order to improve the power of a haplotype sharing analysis for gene mapping in complex disease. The new statistic correlates genetic similarity and phenotypic similarity across pairs of haplotypes from case-control studies. The genetic similarity is measured as the shared length between haplotype pairs around a genetic marker. The phenotypic similarity is measured as the mean corrected cross-product based on the respective phenotypes. Cases with phenotype P1 and unrelated controls were drawn from the population of Danacaa. Power to detect main effects was compared to the X2-test for association based on 3-marker haplotypes and a global permutation test for haplotype association to test for main effects. Power to detect gene x gene interaction was compared to unconditional logistic regression. The results suggest that the Mantel statistics might be more powerful than alternative tests.

Explore related subjects

HaplotypesHumansModels, StatisticalJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lars Beckmann, Christine Fischer, Markus Obreiter, Michael Rabes, Jenny Chang-Claude. 2005-12-30. Haplotype-sharing analysis using Mantel statistics for combined genetic effects.. https://doi.org/10.1186/1471-2156-6-s1-s70

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

The Soifua Manuia reference panel with 2,570 Samoan haplotypes improves genotype imputation quality among Samoans.

Genotype imputation is fundamental to association studies, and yet even gold standard panels like TOPMed are limited in the populations for which they yield good imputation. Specifically, Pacific Islanders are poorly represented in extant panels. To address this, we used whole-genome sequencing from 1,285 Samoan individuals combined with 1000 Genomes Project (1KGP) individuals to construct an imputation reference panel that better represents Pacific Islander, specifically Samoan, genetic variation. Here we show that this panel yielded up to two times more well-imputed (r2 ≥ 0.80) variants than TOPMed-R3 and 1KGP and was enriched for moderate and high impact variants. There was improved imputation accuracy across the minor allele frequency (MAF) spectrum; accuracy (r2) was greater for population-specific variants (high fixation index, FST) and those from larger haplotypes (high LD score). However, the gain in accuracy over TOPMed-R3 was largest for small haplotypes, reflecting the Samoan panel's ability to capture variation not well tagged by other panels.

Haplotypes↗
PubMed2026

Chloroplast Haplotype Analysis Reveals High Genetic Similarity Among Central Asian Prunus Species.

Genetic variation in four wild Prunus taxa (P. fruticosa, P. erythrocarpa, P. verrucosa and P. griffithii var. tianshanica) was investigated for the first time using six chloroplast DNA regions (matK, r rpl16, ycf1_1, ycf1_2, ndhF and trnH-psbA) analysed through CAPS-based SNP detection. The results revealed weak chloroplast differentiation among P. erythrocarpa, P. verrucosa and P. griffithii var. tianshanica. However, chloroplast variation exhibited a strong geographic signal across the studied populations. The observed chloroplast variation primarily reflected geographic structuring rather than clear differentiation among these closely related taxa. In contrast, P. fruticosa showed distinct chloroplast haplotypes not shared with the other taxa. These findings demonstrate that the developed chloroplast CAPS marker system is effective for detecting chloroplast haplotype variation but has limited discriminatory power among closely related wild Prunus taxa. Further studies using nuclear markers and genome-wide approaches will be required to better resolve their genetic relationships and evolutionary history.

Haplotypes↗
PubMed2025

The evolution of separate sexes in waterhemp is associated with surprising chromosomal diversity and complexity.

The evolution of separate sexes is hypothesized to occur through distinct pathways involving few large-effect or many small-effect alleles. However, we lack empirical evidence for how these different genetic architectures shape the transition from quantitative variation in sex expression to distinct male and female phenotypes. To explore these processes, we leveraged the recent transition of Amaranthus tuberculatus to dioecy within a predominantly monoecious genus, along with a sex-phenotyped population genomic dataset, and six newly generated chromosome-level haplotype phased assemblies. We identify a ~3 Mb region strongly associated with sex through complementary SNP genotype and sequence-depth-based analyses. Comparative genomics of these proto-sex chromosomes within the species and across the Amaranthus genus demonstrates remarkable variability in their structure and genic content, including numerous polymorphic inversions. No such inversion underlies the extended linkage we observe associated with sex determination. Instead, we identify a complex presence/absence polymorphism reflecting substantial Y-haplotype variation-structured by ancestry, geography, and habitat-but only partially explaining phenotyped sex. Just over 10% of sexed individuals show phenotype-genotype mismatch in the sex-linked region, and along with observation of leakiness in the phenotypic expression of sex, suggest additional modifiers of sex and dynamic gene content within and between the proto-X and Y. Together, this work reveals a complex genetic architecture of sex determination in A. tuberculatus characterized by the maintenance of substantial haplotype diversity, and variation in the expression of sex.

Haplotypes↗