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Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Fast genome-wide pedigree quantitative trait loci analysis using MENDEL.

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  • 1Department of Statistics, North Carolina State University, Raleigh, NC27695 USA.

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Summary

Pedigree data enables genome-wide association studies (GWAS) and next-generation sequencing (NGS) but is computationally intensive. The MENDEL software now offers an ultra-fast score test for efficient analysis of large pedigree datasets, identifying significant single nucleotide polymorphisms (SNPs).

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Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Legacy pedigree samples are valuable for genome-wide association sequencing (GWAS) and next-generation sequencing (NGS) studies.
  • Family designs are advantageous for detecting rare variants, controlling population stratification, and studying parent-of-origin effects.
  • Traditional pedigree analysis software is computationally slow for dense marker maps.

Purpose of the Study:

  • To implement and assess an ultra-fast score test for association mapping in the MENDEL software.
  • To enable efficient analysis of pedigree-based GWAS and NGS data.
  • To evaluate MENDEL's performance on the Genetic Analysis Workshop 18 sequencing data.

Main Methods:

  • Implemented an ultra-fast score test for association mapping within the MENDEL software.
  • The implementation supports random, pedigree, or mixed data, covariate adjustment (including population stratification), and univariate/multivariate quantitative traits.
  • Assessed MENDEL's capabilities using Genetic Analysis Workshop 18 sequencing data, analyzing 959 individuals and 8.3 million single-nucleotide polymorphisms (SNPs).

Main Results:

  • MENDEL analyzed a large dataset (959 individuals, 8.3 million SNPs) in under 51 minutes on a standard laptop.
  • The software efficiently handled longitudinally measured diastolic blood pressure traits.
  • Analysis revealed a significant association of one SNP in the q32.2 region of chromosome 1.

Conclusions:

  • The ultra-fast score test in MENDEL significantly accelerates association mapping for pedigree-based GWAS and NGS.
  • MENDEL provides a powerful and efficient tool for genetic analysis of complex family data.
  • The software is freely available, promoting wider use in genetic research.