This statistic shows a forecast for the number of Amish people and Amish settlements in the United States from 2010 to 2050. By the year 2050 it is expected that the Amish population will have approximately tripled and the total number will reach 912,258 people.

The Amish have largely remained an enigma to social science researchers, due to a lack of large-scale data. By coding data from directories of Amish in Holmes County, Ohio, and the surrounding areas (which contain information on roughly one in every six Amish in the world), this project provides a new source of data that allows people to explore demographics, occupational shifts, and retention among a significant proportion of the Old Order Amish.

The investigator for this project, "https://www.legacy.com/obituaries/deseretnews/obituary.aspx?pid=170177679" Target="_blank">Benjamin McKune, was a graduate student at the "https://www.psu.edu/" Target="_blank">Pennsylvania State University and a Research Associate at the "/" Target="_blank">ARDA. In March 2014, he tragically passed away before he could finish his Ph.D. This dataset contains the data that he collected for his dissertation.

The Amish Research Group of the University of Maryland School of Medicine has been studying the Old Order Amish population in Lancaster County, PA, since 1993. This database currently consists of health-related data on over 7,000 adults resulting from studies ranging from population and basic science to clinical and translational research. Areas of investigation include: Cardiovascular Risk, Diabetes, Bone Health, Blood Pressure, Vascular Imaging, Aging, Breast Tissue Density, Platelet Aggregation, Microbiome, Wellness, and Brain Imaging. Extensive genetic data (genotyping and sequencing) is also available.

Percent female, age of exam and onset averages and standard deviations were calculated for the 162 samples which passed QC for whole-exome sequencing.Demographics of Amish Exome Sequencing Samples.

Diabetes, hypertension, and hypercholesterolemia are three of the major risk factors for the development of cardiovascular disease (CVD), a leading cause of death in the United States. The burden of these disorders is not uniform across the country primarily due to socioeconomic status, cultural practices, and lifestyle. To evaluate the effect of these disparities, this study compared the prevalence of the 3 conditions in a subpopulation in the US with that of the general population. The Old Order Amish (OOA) community located in rural Pennsylvania is characterized by distinctive sociocultural practices that include a very cohesive social structure and limited use of modern technologies and medication. A total of 5377 OOA individuals took part in a community-wide survey which included a physical exam and fasting blood draw. The prevalence of the 3 risk factors in the Amish was then compared to the European Caucasian subsample of the 2013–2014 US National Health and Nutrition Examination Survey (NHANES). This dataset includes demographics, physical examination values, medication history, clinical measures associated blood pressure, cholesterol, and glucose, and statistical assessment and comparison data.

Financial overview and grant giving statistics of Mission to Amish People

Lifespan increases observed in the United States and elsewhere throughout the developed world, have been attributed in part to improvements in medical care access and technology and to healthier lifestyles. To differentiate the relative contributions of these two factors, we have compared lifespan in the Old Order Amish (OOA), a population with historically low use of medical care, with that of Caucasian participants from the Framingham Heart Study (FHS), focusing on individuals who have reached at least age 30 years. Analyses were based on 2,108 OOA individuals from the Lancaster County, PA community born between 1890 and 1921 and 5,079 FHS participants born approximately the same time. Vital status was ascertained on 96.9% of the OOA cohort through 2011 and through systematic follow-up of the FHS cohort. The lifespan part of the study included an enlargement of the Anabaptist Genealogy Database to 539,822 individuals, which will be of use in other studies of the Amish. Mortality comparisons revealed that OOA men experienced better longevity (p

Alleles, MAF, and overall OR are published values. Chr = chromosome. Pos = position in bp. MAF = minor allele frequency. OR = odds ratio. Adapted from Lambert, et al, 2013 [16]. Allele frequency was calculated using the 921 Amish samples and the 971 samples from the unrelated dataset that passed QC in the follow-up genotyping phase.Details of Risk Loci from Meta-Analysis Used to Calculate Total Genetic Risk Score.

Chr = chromosome. MAF = minor allele frequency. Nucleotide position is based upon the UCSC hg19 human reference genome. Gene annotated by SeattleSeq134.* Variant in implicated linkage regions.+ Variant in implicated AD gene.MQLS-corrected allele frequencies and case-control association p-values for the top variants in the full dataset.

Counts are displayed for the number of variants present in the human variation catalogs of dbSNP build 137 (dbSNP), ESP 6500 release (ESP), and 1000 Genomes April 2012 release (1000G). The number of novel variants identified in each implicated linkage region is also shown. Chr = chromosome. Mbp = megabase pair.Summary of variants identified within implicated linkage regions.

As chronic wasting disease (CWD) continues to spread, researchers have studied stakeholder attitudes, behaviors, and risk perceptions of deer hunting associated with CWD. Findings inform natural resource agencies’ methods to educate the public, address concerns, and implement management plans. However, little work has been done with underrepresented populations, such as the Amish. We conducted semi-structured interviews with male members of Amish communities in southeastern Minnesota, an area where CWD has been present in wild white-tailed deer (Odocoileus virginianus) for over a decade. Participants were asked about their knowledge of CWD, attitudes and behaviors regarding CWD, and sources of CWD information. Thematic analysis revealed that participants had limited CWD knowledge, perceived CWD as a low risk, and disliked culling as a management strategy, instead preferring to “let nature take its course.” The knowledge shared and gathered in this study provides information for Amish community-focused, CWD-related educational materials.

Owing to recent advances in DNA sequencing, it is now technically feasible to evaluate the contribution of rare variation to complex traits and diseases. However, it is still cost prohibitive to sequence the whole genome (or exome) of all individuals in each study. For quantitative traits, one strategy to reduce cost is to sequence individuals in the tails of the trait distribution. However, the next challenge becomes how to prioritize traits and individuals for sequencing since individuals are often characterized for dozens of medically relevant traits. In this article, we describe a new method, the Rare Variant Kinship Test (RVKT), which leverages relationship information in family-based studies to identify quantitative traits that are likely influenced by rare variants. Conditional on nuclear families and extended pedigrees, we evaluate the power of the RVKT via simulation. Not unexpectedly, the power of our method depends strongly on effect size, and to a lesser extent, on the frequency of the rare variant and the number and type of relationships in the sample. As an illustration, we also apply our method to data from two genetic studies in the Old Order Amish, a founder population with extensive genealogical records. Remarkably, we implicate the presence of a rare variant that lowers fasting triglyceride levels in the Heredity and Phenotype Intervention (HAPI) Heart study (p = 0.044), consistent with the presence of a previously identified null mutation in the APOC3 gene that lowers fasting triglyceride levels in HAPI Heart study participants.

aBased on 728 pre-menopausal women from our study of mammographic density, and after standardizing by batch and adjusting for age, an estimated narrow-sense heritability of approximately 24% (for prolactin) and 34% (for free estradiol).bBased on 753 post-menopausal women from our study of mammographic density, and after standardizing by batch and adjusting for age, an estimated narrow-sense heritability of approximately 35%.cBased on 868 men and women from the HAPI Heart study, and after adjusting for age and sex, an estimated narrow-sense heritability of approximately 49%.dBased on 10,000 simulations under the null hypothesis of a purely polygenic trait architecture.