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White Person

White Person: A human individual who identifies as or is identified as Caucasian or of European descent.
This term encompasses a diverse range of ethnicities, skin tones, and cultural backgrounds.
Researchers studying White Person populations may utilize PubCompare.ai's AI-driven platform to optimaize research protocols, ensure reproducibility, and identify the best methods and products for their specific needs.
PubCompare.ai's tools can help streamline the research process and enable data-driven decision making to take White Person studies to new heights.

Most cited protocols related to «White Person»

We used GCTA12 (link) to perform approximate conditional analyses to detect distinct association signals at each of the genome-wide significant risk loci for T2D (newly identified or confirmed, except at the major histocompatibility complex (MHC) region). GCTA performs conditional analysis using association summary statistics from GWAS meta-analysis and estimated LD from a sufficiently large reference study used in the meta-analysis. We used a reference sample of 6,000 (nearly) unrelated (pairwise relatedness <0.025) individuals of white British origin, randomly selected from the UK Biobank, to model patterns of LD between variants. The reference panel of genotypes consisted of the same 39 million variants from the HRC reference panel assessed in our GWAS, but with an additional quality control step to exclude SNPs with low imputation quality (proper-info<0.4) or deviation from Hardy-Weinberg equilibrium (p<1x10-6). For each locus, we first searched ±500kb surrounding the lead SNP (using summary statistics from BMI unadjusted or adjusted analysis, as appropriate) to ensure potential long-range genetic influences were assessed. Within a region, conditionally independent variants that reached locus-wide significance (p<10-5) were considered as index SNPs for distinct association signals. If the minimum distance between any distinct signals from two separate loci was less than 500kb, we performed additional conditional analysis taking both regions (encompassing ±500kb from both ends) and reassessed the independence of each signal.
Publication 2018
Childbirth Genome Genome-Wide Association Study Genotype Major Histocompatibility Complex Single Nucleotide Polymorphism White Person
We conducted the GWAS for standing height using the directly genotyped and imputed data in the form that they are made available to researchers, but with a subset of samples. Specifically, we only included samples with all of the following properties: (i) imputation was carried out on them; (ii) in the white British ancestry subset (see above); and (iii) the inferred sex matches the self-reported sex. From this group we selected a set of 344,397 unrelated individuals (Supplementary Information). For standing height, a further 1,076 individuals were excluded owing to missing values for the phenotype, leaving a total of 343,321 for association testing.
We used the software BOLT-LMM (v2.2)46 (link) to look for evidence of statistical association between each marker and standing height. We report association statistics based on a linear mixed model (BOLT-LMM-inf), with the following covariates: (i) array (UK BiLEVE Axiom Array or UK Biobank Axiom Array); (ii) sex (inferred); (iii) age when attended UK Biobank assessment centre; and (iv) principal components 1–20.
The principal components scores were computed using only individuals within the white British ancestry subset, but otherwise with the same method as described above. We conducted tests using the genotype and imputed data files separately.
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Publication 2018
Genome-Wide Association Study Genotype Phenotype White Person
MAFs were assessed across the IBCv1 arrays in 6067 DNA samples collated from three studies with five populations of self described ethnicity, screened for cardiovascular traits; Caucasians (n = 4244 European and n = 1054 US Caucasians); African Americans (n = 384) and South Asians (n = 385). All samples described were genotyped following approval by the relevant institutional review boards. In each respective population, the minor allele frequency for each SNP on the IBCv1 array was determined. Histograms were generated with various allele frequency bins to determine the distribution of allele frequencies in each population.
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Publication 2008
African American Cardiovascular System Ethics Committees, Research Ethnicity Europeans MAF protein, human South Asian People White Person

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Publication 2011
3' Untranslated Regions 5' Untranslated Regions Asian Americans Cell Lines Cells Chromosomes Chromosomes, Human, Pair 9 Ethics Committees, Research Exons Genes Genome Haplotypes Introns MicroRNAs Mutation Negroid Races Population Group Reproduction White Person
Two investigators independently assessed the articles for inclusion or exclusion, resolved disagreements, and attained consistency. For each eligible study, the following information was recorded: the first author's name, the year of publication, country of origin, ethnicity, total number of patients with DR and number of participants without DR (DWR) as well as the DR/DWR distribution in each PAI-1 genotype. Different ethnicities were categorized as Caucasian, Asian and Pima Indian. Sources of control were divided into population-based and hospital-based controls. The average duration of diabetes was separated into longer and shorter than 10 years.
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Publication 2013
Asian Americans Diabetes Mellitus Ethnicity Genotype Patients Pima People Plasminogen Activator Inhibitor 1 White Person

Most recents protocols related to «White Person»

Example 20

Coffee cake was made from cake batter comprising the following ingredients:

Composite Wheat-MCT flour2 cups
Erythritolcups
Baking Powder2teaspoons
Salt½ teaspoon
Cold Butter½ cup
Eggs, whites whipped separately3eggs
Cream mixed with water, as needed¾cup
Vanilla Extractteaspoons
Hazelnut Extractteaspoons

The coffee cake was made in a glass cake pan into which the cake batter was placed and baked at ordinary temperature and time in an oven according to the recipe. The coffee cake was comparable or superior in quality and taste compared to coffee cake made using traditional all-purpose or cake flour and had superior nutritional profile. The coffee cake was lighter, fluffier, and more moist compared to conventional coffee cake made using all-purpose flour instead of the composite wheat-MCT flour.

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Patent 2024
baking powder Butter Coffee Cold Temperature Eggs Erythritol Flour Food Hazelnuts Light Plants Sodium Chloride Taste Vanilla White Person

Example 2

As shown in FIG. 1, ET-1 in HIVAN patients was significantly elevated (4.66±0.20 pg/ml) compared to African American HIV positive (2.66±0.13 pg/ml), Caucasian HIV positive patients (1.76±0.09 pg/ml) and healthy African American (0.3±0.08 pg/ml) and Caucasian (0.44±0.12) controls (P<0.001 for all groups). All HIV positive patients had higher concentrations of ET-1 when compared to controls without HIV infection in the following order: HIVAN (n=65)>African American HIV+ patients (n=63) (P=<0.001)>Caucasian HIV+ patients (n=59) (P<0.001)>healthy African American (n=77) and Caucasian (n=58) controls (P<0.001). Brackets denote significant differences between groups.

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Patent 2024
African American HIV Infections Patients Plasma White Person

Example 5

ECE-1 converts biologically inactive big ET-1 into the biologically active ET-1 peptide. Thus, over-expression of ECE-1 can lead to increased production of ET-1. Peripheral blood derived macrophages from the above described ethnic groups were treated as described above. ECE-1 mRNA was detected using real time quantitative PCR and normalized against 18s rRNA. Differences in macrophage ECE-1 mRNA expression between ethnic and treatment groups are shown in FIG. 4. Brackets denote significant differences between groups.

HIV Nef induced the greatest amount of ECE-1 mRNA in African American HIV positive macrophages, which was significantly higher than all the other groups (P<0.02). Macrophages from African American HIV positive and HIVAN patients had significantly increased ECE-1 mRNA expression when cultured in media only or treated with HIV Nef (P<0.02 and P<0.001, respectively) compared to the healthy controls and Caucasian HIV positive patients. LPS treatment did not significantly increase ECE-1 mRNA in any groups when compared to the other treatments. No significant differences were found between the Caucasian HIV positive patients responses and the healthy group. HIV gp120 did not induce any detectable ECE-1 mRNA from any of the macrophages (data not shown).

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Patent 2024
African American Culture Media Grouping, Blood HIV Envelope Protein gp120 HIV Seropositivity Macrophage Patients Peptides Real-Time Polymerase Chain Reaction RNA, Messenger RNA, Ribosomal, 18S White Person
We collected and categorized covariates such as age (≤ 60 years and > 60 years), sex (male/female), race (non-Hispanic white people, non-Hispanic Black people, Mexican Americans, etc.), educational level (less than grade 9, 9 − 11 grade/graduated from high school or equivalent and college graduated or above), marriage (unmarried, married, separated, divorced, widowed and those living with partner/others), family income, smoking and drinking status. The smoking status was classified into the following: Never smoked (< 100 cigarettes/session), previously smoked (> 100 cigarettes/session, currently not smoking) and current smoker (> 100 cigarettes/session, either on some days or every day) [15 (link)]. Drinking status was categorized as non-drinkers (< 12 drinks in life), ever drinking in the last year (alcohol or 12 drinks in life, currently not drinking), mild/moderate drinkers (over the past year: females, once/day or less; males, twice/day or less), heavy drinkers (over the past year: females, more than once/day; males, > twice/day) [16 (link)]. Medical history and medication use were collected via family interviews and mobile examination centers using standardized questionnaires. The specific details for collecting these covariates can be obtained from the NHANES Laboratory/Medical Technician Procedure Manual [13 ].
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Publication 2023
Alcoholic Intoxication Alcohols Black People Females Hispanics Males Medical Laboratory Technicians Mexican Americans Pharmaceutical Preparations White Person Woman
All imaging data preprocessing procedures were carried out with Data Processing Assistant for Resting-state fMRI version 4.3,1 which is based on Statistical Parametric Mapping 12.2 The preprocessing procedures include removing first 5 time points, slice-time correction, realignment, co-registration, segmentation for structural images, nuisance covariates regression, normalization to MNI space, and spatial smoothing. The nuisance covariates included the 5 principal components from the individual segmented white matter and the cerebrospinal fluid, 24 motion parameters (6 head motion parameters, 6 head motion parameters one time point before, and the 12 corresponding squared items), and linear and quadratic trends. Particularly, volume-based scrubbing regression by including scrubbing regressors was also included into the multiple linear regression model (52 (link)). The time points with a threshold of framewise displacement (FD) >0.5 mm as well as one back and two forward frames were identified and then modeled as a separate regressor in the regression model of the realigned resting fMRI data. After that, the preprocessed images were temporal filtering. For rsFC, a temporal filtering (0.01–0.1 Hz) was conducted. For effective connectivity, a general linear model (GLM) and an F-contrast analysis were used to identify the low frequency fluctuation in effective connectivity analysis based on previous studies (52 (link), 53 (link)). Specifically, the voxels showing low frequency fluctuations were identified using a GLM containing a discrete cosine basis set with frequencies ranging from 0.0078 to 0.1 Hz. An F-contrast was specified across the discrete cosine transforms, producing an SPM that identified regions exhibiting BOLD fluctuations within the frequency band.
A gray matter mask was generated by including the voxels in which 90% of participants contained EPI signal and the mean gray matter values were larger than 0.2. All of the following analyses were conducted within this mask.
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Publication 2023
Cerebrospinal Fluid fMRI Gray Matter Head MAP2 protein, human Reading Frames White Person

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More about "White Person"

Caucasian, European descent, White people, Caucasoid, Europid, Europoid, SAS 9.4, SAS version 9.4, AlphaLISA technology, TaqMan SNP Genotyping Assays, ProxiPlate, Penicillin/streptomycin, Genome-Wide Human SNP Array 6.0, QIAamp DNA Blood Mini Kit, HumanHap300, TaqMan assays.
The term 'White Person' encompasses a diverse range of ethnicities, skin tones, and cultural backgrounds among individuals who identify as or are identified as Caucasian or of European descent.
Researchers studying White Person populations may utilize advanced tools and technologies to optimize their research protocols, ensure reproducibility, and identify the best methods and products for their specific needs.
One such tool is PubCompare.ai's AI-driven platform, which can help streamline the research process and enable data-driven decision making.
The platform allows users to easily locate protocols from literature, pre-prints, and patents, while leveraging AI-driven comparisons to identify the most effective protocols and products for their research.
When conducting White Person studies, researchers may also employ various scientific techniques and technologies, such as SAS 9.4 statistical software, AlphaLISA technology for high-throughput assays, TaqMan SNP Genotyping Assays for genetic analysis, and Genome-Wide Human SNP Array 6.0 for comprehensive genomic profiling.
Additional tools like the QIAamp DNA Blood Mini Kit for DNA extraction and HumanHap300 for targeted genotyping can also be utilized.
By incorporating these advanced tools and technologies into their research, scientists can take their White Person studies to new heights, ensuring data accuracy, reproducibility, and the identification of the most effective protocols and products for their specific needs.