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资源简介：
WTCCC project Tuberculosis (TB) samplesEGA dataset EGAD00000000016
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创建时间：
2018-02-15
相关数据集
Additional file 4: of Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean
Genes within GWAS regions along with gene annotations. Genes are given for regions defined by two methods: by flanking non-significant markers around significant SNP(s), and within a window defined by
Mendeley Data2024-06-27 更新140
Table_2_Genome-Wide Association Study Reveals Candidate Genes Involved in Fruit Trait Variation in Persian Walnut (Juglans regia L.).XLSX
Elucidating the genetic determinants of fruit quality traits in walnut is essential to breed new cultivars meeting the producers and consumers’ needs. We conducted a genome-wide association study (GWA
NIAID Data Ecosystem70
Analysis of MTNR1B gene polymorphisms in relationship with IRS2 gene variants, epicardial fat thickness, glucose homeostasis and cognitive performance in the elderly
Genome-wide association studies pinpointed common variants in or near the MTNR1B gene encoding MT2 melatonin receptor to be strongly associated with fasting glucose levels. IRS2 gene pol
DataCite Commons2020-09-01 更新50
Additional file 2: of GWASeq: targeted re-sequencing follow up to GWAS
Regional plots of associations for each targeted region. rs numbers and purple circles indicate the focal GWAS SNP that the region was selected around. Colored circles indicate degree of LD among SNPs
NIAID Data Ecosystem80
Expanded table of outlier SNPs.
Genome-wide association studies have revealed that the genetic architectures of complex traits vary widely, including in terms of the numbers, effect sizes, and allele frequencies of significant hits.
NIAID Data Ecosystem50
