Crop genome‐wide association study: a harvest of biological relevance
With the advent of rapid genotyping and next‐generation sequencing technologies, genome‐
wide association study (GWAS) has become a routine strategy for decoding genotype …
wide association study (GWAS) has become a routine strategy for decoding genotype …
Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci
Genome-wide association studies (GWAS) have revealed thousands of genetic loci that
underpin the complex biology of many human traits. However, the strength of GWAS–the …
underpin the complex biology of many human traits. However, the strength of GWAS–the …
Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted …
Given the challenges of population growth and climate change, there is an urgent need to
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …
The influence of higher-order epistasis on biological fitness landscape topography
DM Weinreich, Y Lan, J Jaffe… - Journal of statistical …, 2018 - Springer
The effect of a mutation on the organism often depends on what other mutations are already
present in its genome. Geneticists refer to such mutational interactions as epistasis. Pairwise …
present in its genome. Geneticists refer to such mutational interactions as epistasis. Pairwise …
Revisiting genome-wide association studies from statistical modelling to machine learning
Over the last decade, genome-wide association studies (GWAS) have discovered thousands
of genetic variants underlying complex human diseases and agriculturally important traits …
of genetic variants underlying complex human diseases and agriculturally important traits …
Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations
S Tuo, J Zhang, X Yuan, Z He, Y Liu, Z Liu - Scientific reports, 2017 - nature.com
Genome-wide association study is especially challenging in detecting high-order disease-
causing models due to model diversity, possible low or even no marginal effect of the model …
causing models due to model diversity, possible low or even no marginal effect of the model …
Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
AJW Lim, LJ Lim, BNS Ooi, ET Koh, JWL Tan… - …, 2022 - thelancet.com
Background Major challenges in large scale genetic association studies include not only the
identification of causative single nucleotide polymorphisms (SNPs), but also accounting for …
identification of causative single nucleotide polymorphisms (SNPs), but also accounting for …
Discovering SNP-disease relationships in genome-wide SNP data using an improved harmony search based on SNP locus and genetic inheritance patterns
F Esmaeili, Z Narimani, M Vasighi - Plos one, 2023 - journals.plos.org
Advances in high-throughput sequencing technologies have made it possible to access
millions of measurements from thousands of people. Single nucleotide polymorphisms …
millions of measurements from thousands of people. Single nucleotide polymorphisms …
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies
Abstract Background Genome-wide Association Studies (GWAS) have contributed to
unraveling associations between genetic variants in the human genome and complex traits …
unraveling associations between genetic variants in the human genome and complex traits …
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions
S Leem, T Park - BMC genomics, 2017 - Springer
Background Detection of gene-gene interaction (GGI) is a key challenge towards solving the
problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) …
problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) …