Custom-Designed SNP Array Facilitates Japanese Genomic Studies
|
By LabMedica International staff writers Posted on 16 Sep 2015 |

Image: The \"Japonica Array\" contains 659,253 SNPs, including tag SNPs for imputation, SNPs of Y chromosome and mitochondria, and SNPs related to previously reported genome-wide association studies and pharmacogenomics (Photo courtesy of Tohoku Medical Megabank Organization).
Japanese genomic researchers have created a single nucleotide polymorphism (SNP) array optimized for studies on the Japanese population.
The so-called "Japonica Array" was designed by investigators at the Tohoku University Tohoku Medical Megabank Organization (Sendai, Japan). As source material, the investigators used the Tohoku Medical Megabank Organization's reference panel (referred to as the 1KJPN panel), which contains more than 20 million SNPs from whole-genome sequence data from 1070 Japanese individuals. The 1KJPN panel contains the largest number of haplotypes of Japanese ancestry to date.
Beginning with the 1KJPN panel, the investigators designed a novel custom-made SNP array, containing 659,253 SNPs, including tag SNPs for imputation, SNPs of Y- chromosome and mitochondria, and SNPs related to previously reported genome-wide association studies and pharmacogenomics.
The Japonica Array was found to provide better imputation performance for Japanese individuals than the existing commercially available SNP arrays. Imputation is an information science technique for estimating the genotype of several millions of unmeasured SNPs with a SNP array by combining it with a reference panel.
The genomic coverage of the Japonica Array was 96.9% for common SNPs; that is, almost all common SNPs were covered by this array. Furthermore, the coverage of low-frequency SNPs reached 67.2%, which was higher than those of other existing arrays.
The investigators confirmed the high quality genotyping performance of the Japonica array using the 288 samples from the 1KJPN reference panel. Results obtained from genotype screening with a high-throughput sequencer yielded an average call rate of 99.7% and an average concordance rate of 99.7%. Thus, the creation of custom-made SNP arrays based on a population-specific reference panel was shown to be a practical way to facilitate further association studies through genome-wide genotype imputations.
The study was published in the June 25, 2015, online edition of the Journal of Human Genetics.
Related Links:
Tohoku University Tohoku Medical Megabank Organization
The so-called "Japonica Array" was designed by investigators at the Tohoku University Tohoku Medical Megabank Organization (Sendai, Japan). As source material, the investigators used the Tohoku Medical Megabank Organization's reference panel (referred to as the 1KJPN panel), which contains more than 20 million SNPs from whole-genome sequence data from 1070 Japanese individuals. The 1KJPN panel contains the largest number of haplotypes of Japanese ancestry to date.
Beginning with the 1KJPN panel, the investigators designed a novel custom-made SNP array, containing 659,253 SNPs, including tag SNPs for imputation, SNPs of Y- chromosome and mitochondria, and SNPs related to previously reported genome-wide association studies and pharmacogenomics.
The Japonica Array was found to provide better imputation performance for Japanese individuals than the existing commercially available SNP arrays. Imputation is an information science technique for estimating the genotype of several millions of unmeasured SNPs with a SNP array by combining it with a reference panel.
The genomic coverage of the Japonica Array was 96.9% for common SNPs; that is, almost all common SNPs were covered by this array. Furthermore, the coverage of low-frequency SNPs reached 67.2%, which was higher than those of other existing arrays.
The investigators confirmed the high quality genotyping performance of the Japonica array using the 288 samples from the 1KJPN reference panel. Results obtained from genotype screening with a high-throughput sequencer yielded an average call rate of 99.7% and an average concordance rate of 99.7%. Thus, the creation of custom-made SNP arrays based on a population-specific reference panel was shown to be a practical way to facilitate further association studies through genome-wide genotype imputations.
The study was published in the June 25, 2015, online edition of the Journal of Human Genetics.
Related Links:
Tohoku University Tohoku Medical Megabank Organization
Latest BioResearch News
- Lung Cancer Study Reveals Cellular Program Behind Therapy Resistance
- Tumor Genome Marker May Predict Treatment Benefit in Pediatric Cancers
- Lysosomal Gene Defect Linked to Severe Childhood Brain Disorders
- Genetic Testing Identifies Greater Inherited Sudden Cardiac Arrest Risk in Younger Individuals
- Hidden 'Jumping Gene' Variant Linked to Higher Pancreatic Cancer Risk
- Common White Blood Cells Produce Schizophrenia-Linked Protein
- Nanopore Method Captures RNA Folding at Single-Molecule Resolution
- Tumor Microenvironment Marker Linked to Worse Survival in Solid Tumors
- Hidden Immune Gene Defect May Explain Kaposi Sarcoma Susceptibility
- Genetic Markers May Help Predict Amputation Risk in Peripheral Artery Disease
- Gene Signature Shows Promise for Depression Biomarker Testing
- AI-Driven Tumor Profiling Initiative Targets Precision Therapy Development
- Researchers Map Protein and Glycosylation Across 15 Human Body Fluids
- Telomere Length Abnormalities Linked to Lymphoma Development
- Biomarker Signals Chemotherapy Resistance in Relapsed Small Cell Lung Cancer
- Inflammatory Gene Signature Links Metabolic Disease to Pancreatic Cancer Recurrence
Channels
Clinical Chemistry
view channel
Urine-Based Test Shows Promise for Autism Screening in Children
Autism spectrum disorder (ASD) is commonly diagnosed through behavioral assessments, which can involve long waits that delay intervention. Earlier identification is linked to better developmental outcomes,... Read more
Liquid Biopsy Biomarkers May Improve Childhood Epilepsy Diagnosis
Childhood epilepsy remains a major neurological disorder with unmet needs for accurate, non-invasive biomarkers, as conventional tests such as electroencephalography and neuroimaging can have limited sensitivity... Read moreMolecular Diagnostics
view channel
Blood-Based MRD Monitoring Supports Relapse Prevention in Leukemia
In myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), molecular blood testing for minimal residual disease (MRD) can detect signs of impending relapse before clinical symptoms emerge.... Read more
Genomic Test Predicts Chemotherapy Benefit in Metastatic Prostate Cancer
Metastatic prostate cancer remains a major treatment challenge, particularly when deciding whether to add chemotherapy to hormonal therapy. In the United States, about 334,000 men are diagnosed with prostate... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Study Points to Autoimmune Pathway Behind Long COVID Symptoms
Long COVID leaves many SARS-CoV-2 survivors with persistent fatigue, cognitive issues, palpitations, and musculoskeletal pain for months or years. Estimates cited in new research suggest 4%–20% of infected... Read more
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read moreMicrobiology
view channel
Gut Microbiome Signatures Help Identify Risk of IBD Progression
Inflammatory bowel disease (IBD), encompassing Crohn’s disease and ulcerative colitis, is a chronic relapsing inflammatory disorder of the gastrointestinal tract with highly variable outcomes.... Read more
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read morePathology
view channel
AI-Powered Atlas Maps Immune Structures Linked to Cancer Outcomes
Tertiary lymphoid structures are emerging as important indicators of antitumor immunity, but their heterogeneity and spatial context within tumors remain difficult to capture through routine diagnostics.... Read more
AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
Multiple myeloma is a bone marrow malignancy in which patients can respond very differently to the same treatments, making initial therapy decisions difficult. Clinicians must choose among options such... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel








