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Exploring the potential of genetic analysis in historical blood spots for patients with iodine-deficient goiter and thyroid carcinomas in Switzerland and Germany (1929–1989)

Abstract

Iodine deficiency-induced goiter continues to be a global public health concern, with varying manifestations based on geography, patient’s age, and sex. To gain insights into clinical occurrences, a retrospective study analyzed medical records from patients with iodine deficiency-induced goiter or thyroid cancer who underwent surgery at the Community Hospital in Riehen, Switzerland, between 1929 and 1989. Despite today’s adequate iodine supplementation, a significant risk for iodine-independent goiter remains in Switzerland, suggesting that genetic factors, among others, might be involved. Thus, a pilot study exploring the feasibility of genetic analysis of blood spots from these medical records was conducted to investigate and enhance the understanding of goiter development, potentially identify genetic variations, and explore the influence of dietary habits and other environmental stimuli on the disease.

Blood prints from goiter patients’ enlarged organs were collected per decade from medical records. These prints had been made by pressing, drawing, or tracing (i.e., pressed and drawn) the removed organs onto paper sheets. DNA analysis revealed that its yields varied more between the prints than between years. A considerable proportion of the samples exhibited substantial DNA degradation unrelated to sample collection time and DNA mixtures of different contributors. Thus, each goiter imprint must be individually evaluated and cannot be used to predict the success rate of genetic analysis in general. Collecting a large sample or the entire blood ablation for genetic analysis is recommended to mitigate potential insufficient DNA quantities. Researchers should also consider degradation and external biological compounds’ impact on the genetic analysis of interest, with the dominant contributor anticipated to originate from the patient’s blood.

Highlights

DNA can be extracted from paper-derived historical blood spots using a commercial kit.

Strong fluctuation in DNA quantity and quality over and within decades due to storage and samples’ age.

DNA mixtures are to be expected due to the handling of patient files by multiple individuals.

Analysis of blood ablations should be considered individually and holistically.

Peer Review reports

Introduction

Iodine is an essential trace element for synthesizing thyroid hormones and properly functioning the normal thyroid gland [1,2,3]. Thus, inadequate nutrient supply can cause goiter development, characterized by an abnormal enlargement of the thyroid glands [1, 4]. Additionally, insufficient thyroid hormone levels during fetal development and childhood can impair growth, mental disabilities, hearing loss, and other neurological deficits [3, 5].

Iodine is distributed throughout the planet’s ecosystem, but its occurrence and distribution can vary across different regions, while the majority is found in the oceans, atmosphere, and soil. However, some areas may experience iodine deficiency in soils and groundwater, which, in turn, can decrease dietary intake [2, 4, 6, 7]. While the recommended daily consumption of iodine for healthy adults is between 150 and 250 µg/day [3, 6,7,8], the primary approach to managing iodine deficiency disorders (IDD) is through salt iodization endorsed by the World Health Assembly in 1993. Salt was chosen as a vehicle as it is widely consumed, and iodization is relatively low-cost. In the early 1960s, only a few nations implemented IDD control initiatives, primarily in the United States and Europe. Over the past thirty years, significant progress has been made in increasing access to iodized salt and reducing iodine insufficiency in most global regions. Despite these efforts, iodine insufficiency remains a significant concern for public health, particularly in Europe [9].

Historically, the Swiss population faced moderate to severe iodine deficiency, resulting in a higher incidence of goiter and cretinism [8, 10]. The latter describes a more severe condition characterized by profound and irreversible physical and mental impairments (i.e., stunted growth, intellectual disability, delayed development, and physical deformities) caused by extensive and prolonged iodine deficiency during early development [1, 11]. In 1923, a hospitalization rate of 0.1% was observed among the population of Riehen due to cretinism-induced inability to self-care. A survey conducted in 1975 revealed that individuals aged 60–79 had a goiter prevalence three times higher (60%) compared to individuals aged 20–39 [8]. As Switzerland was an early adopter of iodized salt in 1922 to address and prevent iodine deficiency, iodized salt was widely accessible throughout the country by 1952 [2, 3, 10]. However, in response to variations in salt consumption, the concentration of iodine in salt, in the form of potassium iodide, was gradually increased several times, from 3.75 mg/kg in 1952 to 7.5 mg/kg in 1962, 15 mg/kg in 1980, 20 mg/kg in 1998, and 25 mg/kg in 2014. While doing so, the prevalence of goiter has steadily declined, indicating that the treatment was successful and suggesting an iodization shortage, notably during the earlier phases [2, 3, 10, 12].

Although dietary iodine deficiency is the most common cause of goiter, the multifactorial nature of the disease and the postulated complex interaction between environmental and endogenous factors, such as genetic, metabolic, hormonal, and immune system factors, as well as, inflammation, neoplastic processes, and age, is nowadays undisputed [1, 13,14,15,16,17,18,19,20,21,22,23,24]. While endemic goiter occurs commonly in iodine deficiency areas, the environment alone cannot solely account for the goiter etiology. In contrast, the development of the less prevalent sporadic or iodine-non-related goiter is more influenced by individual factors, whereby an interplay with environmental exposures (e.g., lifestyle choices) cannot be ruled out. This means that not every individual develops a goiter, and despite iodine supplementation efforts, not all persons are spared from goiter development [13,14,15, 25]. Thus, genetic mutations (i.e., gene variations) [13,14,15,16, 26,27,28] or different gene expression patterns by small non-coding RNA (e.g., microRNA) expression profiles or epigenetically changes (i.e., DNA methylation, histone modification) [16, 29, 30] may predispose individuals to thyroid cancer and goiter, also supported by twin and family studies [13, 14, 25]. With research aiming to further identify and understand the role of (epi-)genetic, predictive markers in the disease’s development, progression, and therapeutic intervention, a polygenic character is assumed [15].

The Documentation Center in Riehen houses a substantial and well-maintained archive of medical records related to iodine-deficient goiter and thyroid carcinomas. These records span from 1929 to 1989, with approximately 10% containing blood ablations derived from surgically removed goiters. The center served as a catchment area that includes regions of Switzerland and southern Germany [31]. The iodine fortification programs in both countries were implemented at different times, providing an opportunity to gain insights and compare information on goiter incidences and the effectiveness of iodine fortification strategies based on recorded anamnestic, clinical, intraoperative, postoperative, histological and demographic parameters in two geographically close but administratively, socioeconomically, culturally, and dietary distinct areas [2, 32, 33]. For this, consistent documentation and standardized transcription of medical records, surgical interventions, and histological findings of nearly all patients from 1929 to 1989 are available, allowing for longitudinal, retrospective epidemiological, and potentially deeper genetic inquiries from bloodstains, providing sufficient DNA quantity and quality, which will be explored in this feasibility study.

Hence, a pilot study was designed, conducting a preliminary assessment of the overall feasibility of potentially upcoming genetic analysis using historical blood spots from medical records of individuals diagnosed with thyroid cancer and iodine-deficient goiters, providing a solid basis for addressing possible genetically amenable inquiries. In addition, this initial investigation allows the detection and identification of anticipated issues, such as genetic degradation or the presence of DNA mixtures, while also potentially uncovering novel difficulties. By revealing these challenges at an early stage, resources and outcome-oriented decisions can be made for subsequent studies, while appropriate modifications can be implemented to refine the approach for subsequent analysis adequately.

Materials and methods

Feasibility study

For the feasibility study, 1’000 medical records of patients who underwent goiter surgery between 1929 and 1989 at the Riehen Hospital were available. These records contained outlines of the goiter impressions used for the investigation. Goiter blood prints were made by pressing, drawing, or tracing the removed organs onto paper sheets. Ten samples with assumed blood marks were analyzed from each decade (i.e., 1929 to 1979) following the criteria outlined in the “Sample Collection” section and using a random selection process from patient files. The study was performed with an approved ethics application by the Ethikkommission Nordwest- und Zentralschweiz (EKNZ).

Sample collection

For genetic analysis, patient files were pre-screened according to the following criteria: (1) sufficiently large imprint (approximately half a page) with assumed blood stains, (2) no handwriting or later typewriter print on the backside of the imprint, (3) presence of multiple blood deposits (as dark as possible), (4) minimal or no drawings within the impression. Figure 1 depicts an example of the imprints being investigated.

Fig. 1
figure 1

Goiter imprint. Exemplary goiter impression from a patient file. The tissue removed by surgery was imprinted and traced, while the corresponding spots were punched out using a hole puncher

Ten specimens were randomly collected from the initial two years of each decade. Three replicate samples of equal size were obtained using a single-hole puncher and subsequently stored in 1.5 mL tubes under light-protected conditions at ambient temperature until further analysis (Fig. 2).

Fig. 2
figure 2

Sample Collection. Randomly selected blood imprints meeting the outlined criteria were extracted and quantified for each of the decades 1929, 1939, 1949, 1959, 1969, and 1979 (n = 10 per decade); created by Biorender.com [34]

Genetic analysis

The DNA obtained from dried blood spots of the medical records was isolated using the QIAamp® DNA Investigator Kit (QIAGEN N.V., Venlo, The Netherlands) and eluted in 50 µL elution buffer. The kit facilitates the purification of genomic DNA from various forensically relevant biological materials (e.g., blood, saliva, sperm) found on diverse substrates (e.g., paper, textiles, stones) and collected by swabbing, taping, or cutting. The kit uses QIAamp MinElute spin columns to purify high-quality DNA, allowing optimal performance in subsequent quantitative polymerase chain reaction (qPCR) and other downstream analyses [35]. The quantification of DNA was carried out in triplicates using the Powerquant® kit (Promega Corporation, Madison, WI, USA) on an Applied Biosystems™ 7500 Real Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturers’ protocols [36, 37], except for the internally validated reaction in half volume. The kit integrates multicopy quantification and an internal PCR control (IPC) into a single 5-dye qPCR assay that measures the total amount of human and human male DNA while identifying the presence of PCR inhibitors and DNA degradation ( [38], Table 1). Further, the Powerquant® kit was selected from other established real-time quantification kits due to its reliable performance on challenging forensic samples with minute DNA amounts, often with low quality [39].

Table 1 Overview of the PowerQuant primers and probes for DNA quantification using the PowerQuant® System. Data from the four dye channels are normalized to the passive reference dye, CXR dye (adopted from [37])

The ratio of DNA concentrations determined with the autosomal and degradation targets ([Auto]/[Deg] ratio) can be used to evaluate the degree of degradation, while the IPC amplification performance is used to identify inhibitors in the sample. The software calculates the difference in the quantification cycle (Cq) values for the IPC in (1) an unknown sample and the IPC in (2) the closest DNA standard of the standard curve (i.e., IPC shift). This data can be used to make informed choices regarding the purification of samples, the dilution of DNA samples, and the ideal template volume to include in amplifying regions of interest in the human genome [37, 38].

Data analysis

With the PowerQuant® System, the quantity of autosomal and Y-chromosomal DNA was measured in ng/µL, while the quality was assessed by the degradation index (DI) and IPC shift. Table 2 gives the interpretation guidelines for the occurrence of degradation and/or inhibitors in the unknown sample.

Table 2 Interpretation guidance for degradation or inhibition, potentially occurring in quantified samples using the PowerQuant® System. The thresholds for degradation or inhibition were adapted according to internal validation studies with a threshold value of 10 for [Auto]/[Deg] and 5 for the IPC shift. “No Deg Cq” = no degradation quantification cycle [37]

The R statistical software [40] was used for data visualization and descriptive statistics. The statistical analysis employed the Kruskal-Wallis-test with Dunn’s post hoc test for multiple, pairwise comparisons to identify the different groups. The tests were performed with a significance level of 5%.

Results

DNA quantity

The samples collected during the initial two decades exhibited only minute amounts of extractable DNA, with concentrations ranging from a more theoretical DNA amount of 0.0001 ng/µL to 0.0259 ng/µL, roughly equivalent to 4 cell nuclei (mean = 0.007 ng/µL, median = 0.003 ng/µL, Fig. 3). On the other hand, samples from the last four decades (Fig. 3) exhibited a notable amount of DNA, with a wide distribution range from 0.0008 ng/µL to 61.21 ng/µL (mean = 3.16 ng/µL, median = 0.14 ng/µL). Since 1982, there has been no documentation of goiter imprints in the patient records of the community hospital; thus, there were no representative samples for the last decade available.

Fig. 3
figure 3

Logarithmic DNA quantities (ng/µL) of the 10 respective goiter impressions per decade. Statistical significance was found (Kruskal-Wallis-Test, p < 0.05) between the first decade compared to 1959/60, 1969/70, 1979/80, and between 1939/40 and 1959/40, but not between the last four groups. Each point represents the mean of three independently performed quantitative PCRs; “X” marks mean DNA values

Determining the combined quantity of amplifiable autosomal and Y-chromosomal DNA provides insights into the presence of male, female, or mixed DNA components in the sample, with the latter only detectable for different genders. Over 50% of the specimens exclusively exhibit DNA from females, with the possibility of same-gender mixtures. A male-female DNA mixture was observed in 25% of the samples. Male DNA, or male-male mixtures, were detected in around 7% of the samples, while for the remaining samples, the triplicate quantification was inconclusive due to unclear or unreliable results.

DNA quality

Table 3 displays the degradation indices obtained from the samples, which varied from 18 (moderate degradation) to ≥ 3’000 (severe degradation); however, [Auto]/[Deg] ratios may not be reliable in samples with low DNA concentrations (i.e., less than 1pg/µl) due to stochastic effects [37]. Samples with no detected value for the degradation target (i.e., undetermined = No Deg Cq) indicate that the sample is either present in too low amounts for accurate measurement or severely damaged. In total, 4 samples showed inconclusive and thus not evaluable results within triplicate analysis (= NA). IPC shifts of each sample were below the established threshold value of 5. In combination with the [Auto]/[Deg] ratios for the last four decades, it can be estimated that the samples depicting “No Deg Cq” are severely degraded but do not contain PCR inhibitors.

Table 3 Mean degradation indices (DI) per sample over the decades spanning from 1930 to 1980

Discussion

DNA quantity

The low DNA levels, despite the presence of blood traces with expected high DNA amounts, can be attributed to influencing factors such as the samples’ age along with unfavorable, uncontrolled storage conditions. Finding DNA below detectable quantification thresholds is not surprising and is in line with various studies working on stored and degraded dried blood stains [41,42,43,44,45,46,47] or exploring the limits of detection [48, 49]. With respect to subsequent downstream analysis, it is essential to note that a low quantification result does not necessarily result in a profiling failure using standard forensic amplification kits, which, however, remains to be investigated for further in-depth downstream genetic analyses. For example, research demonstrated that DNA profiles could be generated from samples with literally no DNA quantities [39, 50]. Moreover, the alleged imprints of the medical records before 1940 posed a challenge in differentiation from the paper discoloration that occurs with the age of the patient’s files and/or medical illustrations that inherently lack DNA content.

Over 50% of the specimens exclusively exhibit DNA from females, which is not unexpected considering the higher prevalence of goiter in females than in males [51,52,53,54]. A meta-analysis by Malboosbaf et al. [51] suggested that the release of reproductive hormones during puberty might contribute to this gender difference, as testosterone, unlike estrogen, might inhibit thyroid enlargement. In these mixtures, the presence of both genders might be due to various factors, including the patient’s biological material, potential contamination from the surgeon imprinting the organ, and handling of the patient’s documents by others, leading to the transfer of their DNA [55, 56]. It is important to note that the files were not handled sterile or DNA-protective, which will likely have contributed to the presence of mixed DNA traces from unknown sources, numbers of contributors, and different genetic contributions. However, given that the study was intended as a feasibility assessment, it was not sensible (and not permitted) to access personal data for comparison of the DNA information with the actual gender and number of subjects.

DNA quality

The PowerQuant® System enables the quantification of autosomal DNA and provides insights into the extent of DNA degradation and inhibition in the analyzed samples. Especially for the first decades, no DI value could be determined as no or only small amounts of DNA were quantified. Concerning the latter, the deterioration level of individual samples can be influenced by various factors such as sample age or storage time and conditions [57, 58], substrate (e.g., paper type, composition, and deterioration [59,60,61]), and environmental factors (e.g., humidity, temperature, and light exposure [57, 58]). The lack of inhibition is remarkable, as the imprints were manipulated with pen ablations and possibly other unknown interventions. However, care was taken to ensure that the impressions did not have many inscriptions to preserve the documentation of these historical patient files. Therefore, no whole impressions were used for the pilot study. The shown variations in both the amount and quality of DNA obtained from tissue ablations may be attributed to distinct printing methodologies, including the magnitude and duration of pressure applied, the length of time for drying, hindering factors such as pen residues, and undoubtedly the subsequent manipulation of the files by external entities (and their DNA requisitions).

In terms of sample age and storage condition, it has already been reported that DNA in blood stains can generally remain stable for several weeks and months at ambient temperature (i.e., room temperature) or even years using stabilizing agents [49, 62,63,64,65]. As deposited biological material is subject to endogenic enzymes, microbial processes, and chemical reactions causing damage to cellular material and thus the degradation of nucleic acids, appropriate storage (e.g., temperature consistency and frigidity) remains crucial [66,67,68]. In contrast, air humidity was predicted to affect cell condition mainly but not directly DNA stability [69]. Regrettably, prior to 2012, the patient records were stored without proper protection in the attic of the municipal administration, where natural temperature fluctuations likely affected the integrity of the biological specimens. Moreover, the latest sample analyzed was still over 40 years old.

From a forensic standpoint, it remains controversial whether the majority of the detected DNA quantities are appropriate for additional analyses, including classical short tandem repeat (STR) analysis utilizing multiplex polymerase chain reaction (PCR) or using single nucleotide polymorphisms (SNPs) and next-generation sequencing (NGS) [70,71,72]. Recent advances in the sensitivity of techniques and reagents have enabled DNA profiling from quantities as low as contact traces [50, 73] or even individual cells [74]. Further, NGS has successfully analyzed degraded samples from human remains and artificially degraded DNA through UV treatment [75]. However, as indicated through quantification, mixtures of biological material are likely to occur, as it reflects various individuals’ handling of patient records over time [55, 56, 76]. Additionally, the partially poor DNA quality in the blood spots, characterized by degradation, may pose extra challenges for further intended genetic inquiries.

Although evaluating the real-time PCR quantification results still requires great care, it has already been shown that the quantification assay enables a correlation between the real-time quantification values and the STR genotyping results [39]. Through internal validation, a DI of 10 is classified as severely impaired. Insufficient DNA quantity and quality can affect the genotyping outcome and cause, for example, genetic artifacts, dropouts, and imbalanced peaks in the STR profile [44, 58, 77,78,79]. These challenges can complicate the accurate interpretation of DNA profiles. Conversely, for the samples with sufficient amounts of DNA, potential mixtures are expected to consist primarily of patient DNA, which comes from blood material with a comparatively higher concentration than the smaller amounts from contact traces, e.g., epithelial cells, which are left behind when touching the imprints. In addition, touch DNA is likely more susceptible to degradation and declines more rapidly over time compared to the patient’s blood samples [79,80,81]. As STR profiling would have required enhanced ethics approval, given the inclusion of personalized patient data, an initial assessment of the usability of historical bloodstains was performed by DNA quantification.

Conclusion

The feasibility study showed that DNA extraction and quantification could generally be performed on historical blood imprints from medical reports of patients with iodine-deficient goiter and thyroid carcinomas. However, a considerable portion of the unprotected stored samples exhibited significant challenges, such as DNA quantity variations, substantial DNA degradation, and DNA mixtures. The latter is likely to contain a major contribution from the patient’s DNA (blood) and minor, unidentifiable proportions of the contact DNA left behind when handling the imprints or documents. Consequently, a general success rate cannot be reliably predicted. Instead, each goiter imprint must be evaluated case-by-case for further genetic analyses considering its individual condition but also available resources and desired outcomes. To counteract the effects of low DNA quantities, it would be sensible to use the more recent documents, larger sample material, or the entire imprint whenever possible, while acknowledging potentially increased inhibition.

Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

References

  1. Delange F. The disorders induced by iodine deficiency. Thyroid. 1994;4:107–28. https://doi.org/10.1089/thy.1994.4.107

    Article  CAS  PubMed  Google Scholar 

  2. Andersson M, Herter-Aeberli I. Jodstatus in Der Schweizer Bevölkerung. Schweizer Ernährungsbulletin. 2019;1:22. https://doi.org/10.24444/blv-2018-0111

    Article  Google Scholar 

  3. Szinnai G, Jodmangels F. Jod – Das Spurenelement als Schlüssel für normale Entwicklung Und Wachstum. Paediatrica. 2018;29:18–20.

    Google Scholar 

  4. Zimmermann MB, Jooste PL, Pandav CS. Iodine-deficiency disorders. Lancet. 2008;372:1251–62. https://doi.org/10.1016/S0140-6736(08)61005-3

    Article  CAS  PubMed  Google Scholar 

  5. Delange F, Burgi H. Iodine deficiency disorders in Europe. Bull World Health Organ. 1989;67:317–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Zimmermann MB. Iodine deficiency. Endocr Rev. 2009;30:376–408. https://doi.org/10.1210/er.2009-0011

    Article  CAS  PubMed  Google Scholar 

  7. Zimmermann MB. Iodine and Iodine Deficiency Disorders. Present Knowledge in Nutrition: Tenth Edition. 2012. pp. 554–67. https://doi.org/10.1002/9781119946045.ch36

  8. Basil S. Hetzel. The story of iodine deficiency: an international challenge in nutrition. New York: Oxford University Press; 1989.

    Google Scholar 

  9. Andersson M, de Benoist B, Darnton-Hill I, Delange F, editors. Iodine deficiency in Europe. A continuing public health problem. World Health Organization (WHO Library Cataloguing-in-Publication Data). Published jointly with Unicef.2007;1–86.

  10. Zimmermann MB. Research on iodine deficiency and goiter in the 19th and early 20th centuries. J Nutr. 2008;138:2060–3. https://doi.org/10.1093/jn/138.11.2060

    Article  CAS  PubMed  Google Scholar 

  11. Kapil U. Health consequences of iodine deficiency. Sultan Qaboos Univ Med J. 2007;7:267–72.

    PubMed  PubMed Central  Google Scholar 

  12. Zimmermann MB, Boelaert K. Iodine deficiency and thyroid disorders. Lancet Diabetes Endocrinol. 2015;3:286–95. https://doi.org/10.1016/S2213-8587(14)70225-6

    Article  CAS  PubMed  Google Scholar 

  13. Brix TH, Kyvik KO, Hegedüs L. Major role of genes in the etiology of simple goiter in females: a population-based twin study. J Clin Endocrinol Metab. 1999;84:3071–5. https://doi.org/10.1210/jcem.84.9.5958

    Article  CAS  PubMed  Google Scholar 

  14. Brix TH, Hegedus L. Genetic and environmental factors in the aetiology of simple goitre. Ann Med. 2000;32:153–6. https://doi.org/10.3109/07853890008998821

    Article  CAS  PubMed  Google Scholar 

  15. Knudsen N, Brix TH. Genetic and non-iodine-related factors in the aetiology of nodular goitre. Best Pract Res Clin Endocrinol Metab. 2014;28:495–506. https://doi.org/10.1016/j.beem.2014.02.005

    Article  CAS  PubMed  Google Scholar 

  16. Agarwal S, Bychkov A, Jung CK. Emerging biomarkers in thyroid practice and research. Cancers. 2022;14:5–25. https://doi.org/10.3390/cancers14010204

    Article  CAS  Google Scholar 

  17. Sniezek JC, Francis TB. Inflammatory thyroid disorders. Otolaryngol Clin North Am. 2003;36:55–71. https://doi.org/10.1016/s0030-6665(02)00133-0

    Article  PubMed  Google Scholar 

  18. Yildirim Simsir I, Cetinkalp S, Kabalak T. Review of factors contributing to nodular goiter and thyroid carcinoma. Med Principles Pract. 2020;29(1):1–5. https://doi.org/10.1159/000503575

    Article  Google Scholar 

  19. Ann Liebert M, Lind P, Langsteger W, Molnar M, Gallowitsch H, Mikosch P, et al. Epidemiology of thyroid diseases in Iodine Sufficiency. Official J Am Thyroid Association 01 Dec. 1998;8(12):1179–83. https://doi.org/10.1089/thy.1998.8.1179

    Article  Google Scholar 

  20. Antonelli A, Ferrari SM, Corrado A, Di Domenicantonio A, Fallahi P. Autoimmune thyroid disorders. Autoimmun Rev. 2015;14(2):174–80. https://doi.org/10.1016/j.autrev.2014.10.016

    Article  CAS  PubMed  Google Scholar 

  21. Braham E, Rejeb H, Ben, Marghli A, Kilani T, Mezni F, El. A rare and particular form of goiter to recognize. Ann Transl Med. 2013;1. https://doi.org/10.3978/j.issn.2305-5839.2013.01.10

  22. Knudsen N, Laurberg P, Perrild H, Bülow I, Ovesen L, Jørgensen T. Risk factors for goiter and thyroid nodules. Thyroid. 2002;12(10):879–88. https://doi.org/10.1089/10507250276101650

    Article  PubMed  Google Scholar 

  23. Gaitan E, Nelson NC, Poole GV. Endemic goiter and endemic thyroid disorders. World J Surg. 1991 Mar-Apr;15(2):205–15. https://doi.org/10.1007/BF01659054

  24. Lamberg B-A. Endemic Goitre-Iodine Deficiency disorders. Ann Med. 1991;23(4):367–72. https://doi.org/10.3109/07853899109148075

    Article  CAS  PubMed  Google Scholar 

  25. Böttcher Y, Eszlinger M, Tönjes A, Paschke R. The genetics of euthyroid familial goiter. Trends Endocrinol Metabolism. 2005;16(7):314–9. https://doi.org/10.1016/j.tem.2005.07.003

    Article  CAS  Google Scholar 

  26. Bignell GR, Canzian F, Shayeghi M, Stark M, Shugart YY, Biggs P, et al. Familial nontoxic multinodular thyroid goiter locus maps to chromosome 14q but does not account for familial nonmedullary thyroid Cancer. Am J Hum Genet. 1997;61(5):1123–30. https://doi.org/10.1086/301610

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Corral J, Martin C, Pe´rez R, et al. 1993 Thyroglobulin gene point mutation associated with non-endemic simple goitre. Lancet. 1993;341(8843):462–4. https://doi.org/10.1016/0140-6736(93)90209-y

    Article  CAS  PubMed  Google Scholar 

  28. Syrenicz A, Koziołek M, Ciechanowicz A, Sieradzka A, Bińczak-Kuleta A, Parczewski M. New insights into the diagnosis of nodular goiter. Thyroid Res 2014 Jun 17:7:6. https://doi.org/10.1186/1756-6614-7-6

  29. Ahmed AA, Essa MEA. Potential of epigenetic events in human thyroid cancer. Cancer Genet. 2019;239:13–21. https://doi.org/10.1016/j.cancergen.2019.08.006

  30. Verma M, Manne U. Genetic and epigenetic biomarkers in cancer diagnosis and identifying high risk populations. Crit Rev Oncol Hematol. 2006;60(1):9–18. https://doi.org/10.1016/j.critrevonc.2006.04.002

    Article  PubMed  Google Scholar 

  31. Meier M, Christ E, Szinnai G. Longitudinale, retrospektive Analyse von Patienten mit Jodmangel-Struma und Schilddrüsenkarzinomen, welche zwischen 1929–1989 im Gemeindespital Riehen operiert wurden. Master Thesis, University Basel, unpublished. 2021.

  32. Bundesministerium für Ernährung und Landwirtschaft. Gesunde Ernährung, Jodversorgung in Deutschland:Ergebnisse des Jodmonitorings. https://www.bmel.de/DE/themen/ernaehrung/gesunde-ernaehrung/degs-jod-studie.html. Accessed 19 July 2023.

  33. Esche J, Thamm M, Remer T. Contribution of iodized salt to total iodine and total salt intake in Germany. Eur J Nutr. 2020;59:3163–9. https://doi.org/10.1007/s00394-019-02154-7

    Article  CAS  PubMed  Google Scholar 

  34. Aoki S, Shteyn K, Marien R. BioRender.com. Accessed 19 July 2023.

  35. QIAamp DNA, Investigator Kit. Handbook. 2020;1–55. Venlo, The Netherlands. Qiagen N.V.;2022.

  36. Applied Biosystems 7500 Fast. 7500 and 7300 real-time PCR system product brochure. 117BR05-09. 12/2010. Waltham, MA, USA: Thermo Fisher Scientific Inc; 2022.

    Google Scholar 

  37. PowerQuant® system technical manual. #TMD047, Rev. 08/22. Madison, WI: Promega Corporation; 2022.

    Google Scholar 

  38. Ewing MM, Thompson JM, McLaren RS, Purpero VM, Thomas KJ, Dobrowski PA, et al. Human DNA quantification and sample quality assessment: Developmental validation of the PowerQuant® system. Forensic Sci Int Genet. 2016;23:166–77. https://doi.org/10.1016/j.fsigen.2016.04.007

    Article  CAS  PubMed  Google Scholar 

  39. Poetsch M, Konrad H, Helmus J, Bajanowski T, von Wurmb-Schwark N. Does zero really mean nothing?—first experiences with the new PowerQuantTM system in comparison to established real-time quantification kits. Int J Legal Med. 2016;130:935–40. https://doi.org/10.1007/s00414-016-1352-1

    Article  PubMed  Google Scholar 

  40. Team R. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021.

    Google Scholar 

  41. Anslinger K, Bayer B. Whose blood is it? Application of DEPArrayTM technology for the identification of individual/s who contributed blood to a mixed stain. Int J Legal Med. 2019;133:419–26. https://doi.org/10.1007/s00414-018-1912-7

    Article  CAS  PubMed  Google Scholar 

  42. Anslinger K, Graw M, Bayer B. Deconvolution of blood-blood mixtures using DEPArray TM separated single cell STR profiling. Rechtsmedizin. 2019;29:30–40. https://doi.org/10.1007/s00194-018-0291-1

    Article  Google Scholar 

  43. Schulze Johann K, Bauer H, Wiegand P, Pfeiffer H, Vennemann M. Detecting DNA damage in stored blood samples. Forensic Sci Med Pathol. 2022;50–9. https://doi.org/10.1007/s12024-022-00549-3

  44. Badu-Boateng A, Twumasi P, Salifu SP, Afrifah KA. A comparative study of different laboratory storage conditions for enhanced DNA analysis of crime scene soil-blood mixed sample. Forensic Sci Int. 2018;292:97–109. https://doi.org/10.1016/j.forsciint.2018.09.007

    Article  CAS  PubMed  Google Scholar 

  45. Frippiat C, Zorbo S, Leonard D, Marcotte A, Chaput M, Aelbrecht C, et al. Evaluation of novel forensic DNA storage methodologies. Forensic Sci Int Genet. 2011;5:386–92. https://doi.org/10.1016/j.fsigen.2010.08.007

    Article  CAS  PubMed  Google Scholar 

  46. Rahikainen AL, Palo JU, de Leeuw W, Budowle B, Sajantila A. DNA quality and quantity from up to 16 years old post-mortem blood stored on FTA cards. Forensic Sci Int. 2016;261:148–53. https://doi.org/10.1016/j.forsciint.2016.02.014

    Article  CAS  PubMed  Google Scholar 

  47. Hara M, Nakanishi H, Yoneyama K, Saito K, Takada A. Effects of storage conditions on forensic examinations of blood samples and bloodstains stored for 20 years. Leg Med. 2016;18:81–4. https://doi.org/10.1016/j.legalmed.2016.01.003

    Article  CAS  Google Scholar 

  48. Ünsal Sapan T, Erdoğan IT, Atasoy S. Human identification from washed blood stains. Bull Natl Res Cent. 2021;45. https://doi.org/10.1186/s42269-021-00600-3

  49. Dissing J, Søndervang A, Lund S. Exploring the limits for the survival of DNA in blood stains. J Forensic Leg Med. 2010;17:392–6. https://doi.org/10.1016/j.jflm.2010.08.001

    Article  PubMed  Google Scholar 

  50. Schulte J, Rittiner N, Seiberle I, Kron S, Schulz I. Collecting touch DNA from glass surfaces using different sampling solutions and volumes: Immediate and storage effects on genetic STR analysis. J Forensic Sci. 2023;68:1133–47. https://doi.org/10.1111/1556-4029.15305

    Article  CAS  PubMed  Google Scholar 

  51. Malboosbaf R, Hosseinpanah F, Mojarrad M, Jambarsang S, Azizi F. Relationship between goiter and gender: a systematic review and meta-analysis. Endocrine. 2013;43:539–47. https://doi.org/10.1007/s12020-012-9831-8

    Article  CAS  PubMed  Google Scholar 

  52. Lind P, Langsteger W, Molnar M, Gallowitsch HJ, Mikosch P, Gomez I. Epidemiology of thyroid diseases in iodine sufficiency. Thyroid. 1998;8(12):1179–83. https://doi.org/10.1089/thy.1998.8.1179

    Article  CAS  PubMed  Google Scholar 

  53. Delange F. Iodine requirements during pregnancy, lactation and the neonatal period and indicators of optimal iodine nutrition. Public Health Nutr. 2007;10(12A):1571–80. https://doi.org/10.1017/S1368980007360941

    Article  PubMed  Google Scholar 

  54. Chalari D, Gerber F, Matter J. Die Struma in Der Allgemeinmedizin. Bedeutung, Differenzialdiagnose Und Behandlung. Swiss Med Forum. 2017;17(49):1095–102.

    Article  Google Scholar 

  55. Daly DJ, Murphy C, McDermott SD. The transfer of touch DNA from hands to glass, fabric and wood. Forensic Sci Int Genet. 2012;6:41–6. https://doi.org/10.1016/j.fsigen.2010.12.016

    Article  CAS  PubMed  Google Scholar 

  56. van Oorschot RAH, Szkuta B, Meakin GE, Kokshoorn B, Goray M. DNA transfer in forensic science: a review. Forensic Sci Int Genet. 2019;38:140–66. https://doi.org/10.1016/j.fsigen.2018.10.014

    Article  CAS  PubMed  Google Scholar 

  57. Fondevila M, Phillips C, Naverán N, Cerezo M, Rodríguez A, Calvo R, et al. Challenging DNA: Assessment of a range of genotyping approaches for highly degraded forensic samples. Forensic Sci Int Genet Suppl Ser. 2008;1:26–8. https://doi.org/10.1016/j.fsigss.2007.10.057

    Article  Google Scholar 

  58. Burger J, Hummel S, Herrmann B, Henke W. DNA preservation: a microsatellite-DNA study on ancient skeletal remains. Electrophoresis. 1999;20(19990101):1722–8. https://doi.org/10.1002/(sici)1522-2683. )20:8%3C1722::aid-elps1722%3E3.0.co;2-4.

    Article  CAS  PubMed  Google Scholar 

  59. Zięba-Palus J, Wesełucha-Birczyńska A, Trzcińska B, Kowalski R, Moskal P. Analysis of degraded papers by infrared and Raman spectroscopy for forensic purposes. J Mol Struct. 2017;1140:154–62. https://doi.org/10.1016/j.molstruc.2016.12.012

    Article  CAS  Google Scholar 

  60. Małachowska E, Dubowik M, Boruszewski P, Przybysz P. Accelerated ageing of paper: effect of lignin content and humidity on tensile properties. Herit Sci. 2021;9:1–8. https://doi.org/10.1186/s40494-021-00611-3

    Article  CAS  Google Scholar 

  61. Area MC, Cheradame H. Paper aging and degradation: recent findings and research methods. BioResources. 2011;6:5307–37. https://doi.org/10.15376/biores.6.4.5307-5337

    Article  CAS  Google Scholar 

  62. Kline MC, Duewer DL, Redman JW, Butler JM, Boyer DA. Polymerase chain reaction amplification of DNA from aged blood stains: quantitative evaluation of the suitability for purpose of four filter papers as archival media. Anal Chem. 2002;74:1863–9. https://doi.org/10.1021/ac015715e

    Article  CAS  PubMed  Google Scholar 

  63. Smith LM, Burgoyne LA. Collecting, archiving and processing DNA from wildlife samples using FTA® databasing paper. BMC Ecol. 2004;4:1–11. https://doi.org/10.1186/1472-6785-4-4

    Article  Google Scholar 

  64. Prinz M, Staak M, Berghaus G. DNA extraction from bloodstains in respect to age and stained substrate. Acta Med Leg Soc. 1989;39(2):213–20.

    CAS  Google Scholar 

  65. Kobilinsky L. Recovery and stability of DNA in samples of forensic science significance. Forensic Sci Rev. 1992;4:67–87.

    CAS  PubMed  Google Scholar 

  66. Gates KS. An overview of chemical processes that damage cellular DNA: spontaneous hydrolysis, alkylation, and reactions with radicals. Chem Res Toxicol. 2009;22:1747–60. https://doi.org/10.1021/tx900242k

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Frippiat C, Noel F. Efficiency of a novel forensic room-temperature DNA storage medium. Forensic Sci Int Genet. 2014;9:81–4. https://doi.org/10.1016/j.fsigen.2013.11.009

    Article  CAS  PubMed  Google Scholar 

  68. Lee SB, Clabaugh KC, Silva B, Odigie KO, Coble MD, Loreille O, et al. Assessing a novel room temperature DNA storage medium for forensic biological samples. Forensic Sci Int Genet. 2012;6:31–40. https://doi.org/10.1016/j.fsigen.2011.01.008

    Article  CAS  PubMed  Google Scholar 

  69. Hall A, Ballantyne J. Characterization of UVC-induced DNA damage in bloodstains: forensic implications. Anal Bioanal Chem. 2004;380:72–83. https://doi.org/10.1007/s00216-004-2681-3

    Article  CAS  PubMed  Google Scholar 

  70. Børsting C, Morling N. Next generation sequencing and its applications in forensic genetics. Forensic Sci Int Genet. 2015;18:78–89. https://doi.org/10.1016/j.fsigen.2015.02.002

    Article  CAS  PubMed  Google Scholar 

  71. Butler JM, Coble MD, Vallone PM. STRs vs. SNPs: thoughts on the future of forensic DNA testing. Forensic Sci Med Pathol. 2007;3:200–5. https://doi.org/10.1007/s12024-007-0018-1

    Article  CAS  PubMed  Google Scholar 

  72. Schneider PM. Scientific standards for studies in forensic genetics. Forensic Sci Int. 2007;165:238–43. https://doi.org/10.1016/j.forsciint.2006.06.067

    Article  CAS  PubMed  Google Scholar 

  73. Kanokwongnuwut P, Martin B, Taylor D, Kirkbride KP, Linacre A. How many cells are required for successful DNA profiling? Forensic Sci Int Genet. 2021;51:102453. https://doi.org/10.1016/j.fsigen.2020.102453

    Article  CAS  PubMed  Google Scholar 

  74. Watkins DRL, Myers D, Xavier HE, Marciano MA. Revisiting single cell analysis in forensic science. Sci Rep. 2021;11:1–12. https://doi.org/10.1038/s41598-021-86271-6

    Article  CAS  Google Scholar 

  75. Senst A, Caliebe A, Scheurer E, Schulz I. Validation and beyond: next generation sequencing of forensic casework samples including challenging tissue samples from altered human corpses using the MiSeq FGx system. J Forensic Sci. 2022;67:1382–98. https://doi.org/10.1111/1556-4029.15028

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Morgan AG, Prinz M. Development of Improved DNA Collection and extraction methods for handled documents. Genes (Basel). 2023;14. https://doi.org/10.3390/genes14030761

  77. Hughes-Stamm SR, Ashton KJ, Van Daal A. Assessment of DNA degradation and the genotyping success of highly degraded samples. Int J Legal Med. 2011;125:341–8. https://doi.org/10.1007/s00414-010-0455-3

    Article  PubMed  Google Scholar 

  78. Pfeifer CM, Klein-Unseld R, Klintschar M, Wiegand P. Comparison of different interpretation strategies for low template DNA mixtures. Forensic Sci Int Genet. 2012;6:716–22. https://doi.org/10.1016/j.fsigen.2012.06.006

    Article  CAS  PubMed  Google Scholar 

  79. Diegoli TM, Farr M, Cromartie C, Coble MD, Bille TW. An optimized protocol for forensic application of the PreCR™ Repair Mix to multiplex STR amplification of UV-damaged DNA. Forensic Sci Int Genet. 2012;6:498–503. https://doi.org/10.1016/j.fsigen.2011.09.003

    Article  CAS  PubMed  Google Scholar 

  80. Wickenheiser R, Trace DNA, Review A. Discussion of theory, and application of the transfer of Trace quantities of DNA through skin contact. J Forensic Sci. 2002;47:442–50.

    Article  CAS  PubMed  Google Scholar 

  81. Burrill J, Daniel B, Frascione N. Technical note: lysis and purification methods for increased recovery of degraded DNA from touch deposit swabs. Forensic Sci Int. 2022;330:111102. https://doi.org/10.1016/j.forsciint.2021.111102

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Sofia Stinus for her great contribution to this work during her internship.

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The authors of this study contributed as follows: Conceptualization: G.H., G.S., G.F., P.N., E.C., I.S.; Formal Analysis, Investigation, Visualization: J.S.; Methodology: J.S., S.K., K.K.; Project Administration and Supervision: I.S.; Writing - Original Draft Preparation: J.S., I.S. All authors reviewed the manuscript.

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Correspondence to Iris Schulz.

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Research involving human participants and/or animals and inform consent: This study on patient data from the last century containing solely quantitative, non-identifying data was performed in line with the principles of the Declaration of Helsinki, and approved by the EKNZ, Switzerland (No. 2022 − 00480). The study plan and protocol for “further use of biological material and/or health-related personal data for research in the absence of consent and information in accordance with Article 34 HRA” was reviewed and approved on March 2022.

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Schulte, J., Hotz, G., Szinnai, G. et al. Exploring the potential of genetic analysis in historical blood spots for patients with iodine-deficient goiter and thyroid carcinomas in Switzerland and Germany (1929–1989). BMC Med Genomics 17, 171 (2024). https://doi.org/10.1186/s12920-024-01947-y

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