18 research outputs found

    Additional file 2 of Ancestry-driven metabolite variation provides insights into disease states in admixed populations

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    Additional file 2: Fig. S1. Global ancestry proportions of African, European, and Native American ancestries for participants based on their country of origin: Mainland (Mexico, Central and South America) or Caribbean (Cuba, Dominican Republic, and Puerto Rico). Note that participants from Mainland had a higher proportion of Native American ancestry, while those from Caribbean had a higher proportion of African ancestry. Fig. S2. Volcano plots showing relationship between the direction of association and driving ancestry in the three chromosomes with the largest numbers of associated metabolites. The driving ancestry was the ancestry with the smallest p-value in ancestry-specific testing. In chromosome 2, most of the associations with African ancestry were positive. In chromosome 11, most of the associations with Native American ancestry were negative

    Additional file 3 of Ancestry-driven metabolite variation provides insights into disease states in admixed populations

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    Additional file 3: Extended Data Table S1. Significant independent local ancestry regions from admixture mapping. Extended Data Table S2. Genetic variants that do not explain association between local ancestry regions and metabolites. Extended Data Table S3. Replication of significant independent local ancestry regions from admixture mapping for 64 metabolites avaialble in the replication dataset

    Additional file 1 of Ancestry-driven metabolite variation provides insights into disease states in admixed populations

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    Additional file 1: Table S1. Descriptive statistics of 3,887 HCHS / SOL participants at visit 1. Table S2. Significant metabolites from admixture mapping. Table S3. All-ancestries and ancestry-specific admixture mapping results. Table S4. Regions whose significance was explained by adding all COJO SNVs to model

    The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis

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    <div><p>Current knowledge of the genetic architecture of key reproductive events across the female life course is largely based on association studies of European descent women. The relevance of known loci for age at menarche (AAM) and age at natural menopause (ANM) in diverse populations remains unclear. We investigated 32 AAM and 14 ANM previously-identified loci and sought to identify novel loci in a trans-ethnic array-wide study of 196,483 SNPs on the MetaboChip (Illumina, Inc.). A total of 45,364 women of diverse ancestries (African, Hispanic/Latina, Asian American and American Indian/Alaskan Native) in the Population Architecture using Genomics and Epidemiology (PAGE) Study were included in cross-sectional analyses of AAM and ANM. Within each study we conducted a linear regression of SNP associations with self-reported or medical record-derived AAM or ANM (in years), adjusting for birth year, population stratification, and center/region, as appropriate, and meta-analyzed results across studies using multiple meta-analytic techniques. For both AAM and ANM, we observed more directionally consistent associations with the previously reported risk alleles than expected by chance (p-values<sub>binomial</sub>≤0.01). Eight densely genotyped reproductive loci generalized significantly to at least one non-European population. We identified one trans-ethnic array-wide SNP association with AAM and two significant associations with ANM, which have not been described previously. Additionally, we observed evidence of independent secondary signals at three of six AAM trans-ethnic loci. Our findings support the transferability of reproductive trait loci discovered in European women to women of other race/ethnicities and indicate the presence of additional trans-ethnic associations both at both novel and established loci. These findings suggest the benefit of including diverse populations in future studies of the genetic architecture of female growth and development.</p></div

    Regional plots for age at menarche Bonferroni-significant loci at <i>SEC16B</i> (Panel A), <i>BDNF</i> (Panel B) and <i>FTO</i> (Panel C), showing previously published body mass index (BMI) primary and secondary SNP associations, using a modified random-effects trans-ethnic meta-analysis of more than 31,000 women.

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    <p>Regional plots for age at menarche Bonferroni-significant loci at <i>SEC16B</i> (Panel A), <i>BDNF</i> (Panel B) and <i>FTO</i> (Panel C), showing previously published body mass index (BMI) primary and secondary SNP associations, using a modified random-effects trans-ethnic meta-analysis of more than 31,000 women.</p

    Regional plots of the novel array-wide significant age at menarche (Panel A: <i>CUX2</i>) and natural menopause loci (Panels B,C: <i>FRMD5</i>, <i>GPRC5B</i>) using a modified random-effects trans-ethnic meta-analysis of more than 31,000 women, and showing independence from previously published cardiometabolic SNP associations (shown in gray if missing).

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    <p>Regional plots of the novel array-wide significant age at menarche (Panel A: <i>CUX2</i>) and natural menopause loci (Panels B,C: <i>FRMD5</i>, <i>GPRC5B</i>) using a modified random-effects trans-ethnic meta-analysis of more than 31,000 women, and showing independence from previously published cardiometabolic SNP associations (shown in gray if missing).</p
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